NIPS 2015 papers

(in nicer format than this)
maintained by @karpathy
Below every paper are TOP 100 most-occuring words in that paper and their color is based on LDA topic model with k = 7.
(This is very hard but it looks like 0 = graphical models?, 1 = reinforcement learning?, 2 = deep learning, 3 = kernels?, 4 = theory?, 5 = optimization, 6 = matrix factorization?)
Toggle LDA topics to sort by: TOPIC0 TOPIC1 TOPIC2 TOPIC3 TOPIC4 TOPIC5 TOPIC6
Also note that you can filter by the day each poster appears: click on the day next to a paper to filter by that day.
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos, Alex J. Smola

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #77
[key, work] [framework, reduction, machine, optimal, return, set, cost, provide, based, approach] [read, performance, dataset, future] [stochastic, variance, figure, computational, compare, change, data, university, frequency] [algorithm, size, case, number, time] [asynchronous, gradient, convergence, vrg, speedup, descent, update, step, epoch, svrg, aga, parallel, schedule, general, chosen, chedule, optimization, locked, incremental, iterate, linear, sag, coordinate, convex, variant, iteration, objective, storage, additional, iterates, assume, method, note, synchronous, proximal, reduced, constant, presented, rate, sgd, mellon, denotes, unifying, dsgd, siam, csgd] [analysis, theorem, distributed, journal, consider, suppose, high, discussion, denote]
Alternating Minimization for Regression Problems with Vector-valued Outputs
Prateek Jain, Ambuj Tewari

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #76
[] [] [] [] [] [] []
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
Qinqing Zheng, Ryota Tomioka

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #79
[ratio, term, corresponding] [optimal, approach, based, threshold, behavior] [denoising, performance, recursive, table, experiment] [proposed, latent, gaussian, figure, kth, true, synthetic, parameter, standard, left, estimator, model, ideal, data, computed, approximation, estimated] [bound, corollary, size, prove, minimum, probability, lemma, algorithm, choice] [regularization, note, constant, theoretically, problem, general] [tensor, norm, subspace, error, noise, unfolding, rank, order, matrix, singular, relative, signal, theorem, decomposition, appendix, high, nuclear, vector, foldk, ordinary, square, recovering, random, result, kronecker, consider, odd, spectral, guarantee, orthonormal, leading, randomly, phase, version, analysis, overlapped, inner, deviation, required, condition]
Subset Selection by Pareto Optimization
Chao Qian, Yang Yu, Zhi-Hua Zhou

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #78
[variable, constraint, corresponding, observation, strictly] [subset, set, optimal, criterion, select, learning, example, machine, evolutionary, integer, selecting, predictor] [performance, training, better, generated, previous, table] [data, approximation, figure, test, exponential, parameter, log, compared] [algorithm, time, greedy, number, size, lemma, implies, study, pareto, probability, exists, best, expected, prove, proof, easy, bound] [regression, optimization, problem, function, worse, squared, arg, method, pmax, note, objective, mcp, larger, convex, constant] [sparse, solution, selection, theoretical, jmax, isolation, decay, running, theorem, denote, norm, phase, guarantee, omp, journal, enpmax, recovery, newly, foba, vector, archived, iteratively, statistical, ieee, good, smaller, lasso, small, relaxation]
Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization
Niao He, Zaid Harchaoui

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #87
[domain, exact, accuracy, associated, form, called] [set, optimal, allows, require, class] [sequence, representation, consists, arxiv] [variational, point, conditional, proposed, computation, assuming, full, applied] [algorithm, complexity, number, inequality, case, monotone, bound, structure, total] [convex, linear, minimization, composite, proximal, gradient, saddle, problem, objective, optimization, lmo, operator, smoothing, smooth, function, oracle, setup, convergence, inexact, rate, mirror, prox, assume, regularization, enjoys, arkadi, closed, euclidean, dual, solve, admm, max, mapping, nonsmooth, compute, technique, cmp, established, pxt, interest, anatoli] [consider, theoretical, min, norm, opt, establish, appendix, solving, solution, special]
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms
Rasmus Kyng, Anup Rao, Sushant Sachdeva

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #86
[domain, symmetry, work] [set, learning, supplementary, material, class, reduction, lexicographic, minimizes] [program, previous] [point, log, parameter, approximate, applied, computed] [algorithm, time, dag, lemma, best, directed, graph, probability, vertex, bound, partial, complete, starting, path, spielman, bounded, upper, implemented] [isotonic, regression, linear, ipm, strict, function, sotonic, convex, barrier, pprox, max, essian, hessian, problem, olve, method, fast, gradient, interior, compute, improved, lex, solve, computing, len, call, ood, lipschitz, stout, generalized, optimum, proved, tart] [theorem, error, running, vector, solving, weighted, denote, min, result, order, random, computes]
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
Christoph Dann, Emma Brunskill

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #90
[state, agent, transition, directly, work, decision, michael, sum, key, markov, making, accuracy] [policy, learning, mdps, reinforcement, mdp, reward, set, machine, conference, discounted, existing, optimal, international, bellman, successor, space, empirical, allows, require, class] [] [sample, model, true, equation, dependency, variance, applied, observed, introduce] [bound, number, time, complexity, pac, probability, horizon, episodic, algorithm, ucfh, lower, upper, proof, optimistic, setting, action, episode, lemma, lattimore, expected, hutter, case, total, tight, prove, pair, bounded, regret, unknown, concentration] [function, additional, local, assume, linear, satisfy] [condition, high, analysis, theorem, consider, journal, order, wmin]
A Universal Primal-Dual Convex Optimization Framework
Alp Yurtsever, Quoc Tran Dinh, Volkan Cevher

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #89
[pxq, formulation, accuracy, constraint, template, state] [set, framework, optimal, algorithmic, require, based, supplementary, dist, weighting, material, learning] [performance, sequence] [computational, point, figure, standard, corresponds, numerical, parameter, correspond, density] [algorithm, complexity, number, inf] [gradient, convex, dual, universal, function, objective, iteration, proximal, method, lder, optimization, compute, scheme, primal, problem, requires, max, accelerated, convergence, operator, lipschitz, assumption, step, xpx, fista, quantum, linear, pgq, continuity, computing, minimization, oracle, choose, kmax, rate, nonsmooth, qmk, note, pkq, arg, apxq, general, solve, additional] [solution, matrix, min, norm, constrained, handle, analysis, consider, condition, completion, indicator, relative, nuclear]
HONOR: Hybrid Optimization for NOn-convex Regularized problems
Pinghua Gong, Jieping Ye

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #92
[search, supplement, programming, three, subsequence, applicable] [learning, criterion, set, integer, propose] [challenging, include] [point, data, hybrid, considering, develop] [algorithm, lim, time, proposition, exists, critical, implies, number, proof, size, limit, bounded] [honor, function, optimization, convergence, convex, clarke, objective, problem, gist, regularized, cpu, solve, subdifferential, iteration, descent, scad, converges, mcp, step, lsp, scheme, constant, direction, concave, assumption, iterate, subproblem, larger, sparsenet, adopted, penalty, remark, optimality, regularizers, faster, inverse, presented, large] [sparse, small, analysis, positive, solving, iterative, annals, hold, ieee, selection, theorem, provided, journal, penalized]
Private Graphon Estimation for Sparse Graphs
Christian Borgs, Jennifer Chayes, Adam Smith

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #91
[node, term, theory, work] [score, provide, consistent, set, average, needed, metric, paper, distance] [output, network, input, generated] [model, stochastic, log, density, approximation, estimator, target, data, nonparametric, full, estimating, exponential, distribution, estimate, procedure] [graph, algorithm, number, edge, bound, degree, probability, case, maximum, bounded, size, social, adjacent, dominated, lemma, best] [general, function, convergence, additional, constant, large, lipschitz, max, main, remark] [block, private, graphon, error, matrix, privacy, sparse, estimation, random, differential, graphons, nonprivate, sensitivity, analysis, consider, norm, version, statistical, square, well, consistency, adjacency, symmetric, guarantee, order]
Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models
Akihiro Kishimoto, Radu Marinescu, Adi Botea

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #36
[search, sprbfaoo, node, rbfaoo, graphical, cache, tree, thread, solved, protein, grid, pedigree, map, vqci, cbest, exact, corresponding, work, context, inference, working, aobb, current, sci, root, hard, bsci, promising, considerably, compilation, unsolved, load, child, associated, qci, intelligence] [heuristic, set, cost, space, virtual, optimal, instance, effective, return] [table, recursive, shared, memory] [sequential, parameter, figure, model] [time, total, algorithm, graph, number, pseudo, proof, best, limit] [parallel, problem, cpu, method, large, overhead, function, primal] [solution, distributed, solving, solves]
Bounding the Cost of Search-Based Lifted Inference
David B. Smith, Vibhav G. Gogate

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #39
[lifted, search, inference, counting, node, tree, probabilistic, propositional, partition, decomposer, schematic, assignment, domain, exact, store, associated, variable, logic, conditioning, counted, ground, count, pxq, graphical, corresponding, markov, type, root, vibhav, list, child, mln, called, ptp, relational, mlns, induced, evidence, bounding, rooted] [set, space, cost, return, label, example, weak, conference] [representation, truth, labeled, single, generated, represent] [sampling, model, variance, sample, procedure, figure, log] [algorithm, number, size, complexity, path, structure, ordering, pair, pij, edge, tight] [function, computing, call, requires] [block, decomposition, order, consider, cluster, weighted, random, product, statistical]
Parallelizing MCMC with Random Partition Trees
Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #44
[partition, accuracy, tree, toy] [subset, average, set, multiple, machine, based, conference, empirical, propose, distance, science, space, robert] [consists, length] [posterior, density, aggregated, data, aggregation, log, full, figure, mcmc, true, approximation, median, weierstrass, monte, dkl, nonparametric, gaussian, mixture, bayesian, procedure, carlo, drawn, fkd, parametric, uild, assuming, sample, university, likelihood, david, estimated] [algorithm, chain, total, number, time, partitioning, adaptive, probability, pairwise, bounded, versus] [assume, max, parallel, averaging, smoothing, large, combining] [random, block, theorem, provided, weighted, independent, product, randomly, error, estimation, denote, consider, statistical, covertype]
Fast Lifted MAP Inference via Partitioning
Somdeb Sarkhel, Parag Singla, Vibhav G. Gogate

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #45
[map, ground, mln, lifted, inference, partition, domain, grounding, equivalence, markov, search, mlns, predicate, formula, propositional, ipp, argument, atom, logical, probabilistic, yield, logic, tuffy, partially, assignment, corresponding, quality, unable, three, alchemy, exchangeable, work, yielding, group] [set, approach, cost, class, conference, respect, example, lattice, return, integer, improve] [weight, network, described, processing, truth] [true, figure, approximate, cell] [algorithm, number, time, size, partial, complexity, lower, bound] [step, second] [solution, theorem, denote, consider, smaller, weighted, idea]
Sample Efficient Path Integral Control under Uncertainty
Yunpeng Pan, Evangelos Theodorou, Michail Kontitsis

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #42
[state, theory, search, probabilistic, constraint, work, transition, belief, propagation] [control, optimal, based, policy, learned, learning, cost, pilco, dxt, approach, pddp, desirability, system, trajectory, uold, reinforcement, law, terminal, fgp, conference, existing, compositionality, machine, pde, task, international, framework, uncertain] [forward, neural, representation] [integral, sample, stochastic, gaussian, uncertainty, proposed, computational, sampling, approximation, model, computation, distribution, equation, computed, nonlinear, analytic, kernel, dynamic, data, standard, covariance, applied] [path, time, exp, algorithm, comparison, unknown] [method, composite, function, linear, optimization, compute, update, problem, generalized] [iterative, noise, order, ieee, independent, expression, sampled]
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
Jaya Kawale, Hung H. Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #43
[particle, probabilistic, work, current, key, agent, move] [set, datasets, system, approach, real, conference, optimal] [dataset, movie, baseline, learn, training, better, feature, performance, evaluate] [user, posterior, latent, sampling, data, bayesian, synthetic, model, recommend, mse, recommendation, icf, rating, sample, parameter, estimate, point, full, typically, observed, rit, proposed, log, prior, figure] [item, regret, algorithm, bandit, time, setting, thompson, pmf, number, movielens, cumulative, cummulative, rated, probability, action, chooses, expected, bound] [online, problem, update, method, note, linear, assume] [matrix, factorization, random, popular, row, collaborative, design, high]
Spatial Transformer Networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, koray kavukcuoglu

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #3
[grid, map, work, module, mechanism, accuracy] [transformed, multiple, allows, learning, class, task, location, showing] [spatial, transformation, transformer, feature, network, input, output, neural, localisation, cnn, convolutional, image, attention, training, mnist, single, trained, learn, table, transform, regular, deep, predicted, distorted, object, architecture, include, bilinear, baseline, perform, parameterised, previous, recognition, forward, cnns, visual, producing, thin, plate, unm, pixel, layer, warping, dataset, resolution, projective, street, vic, train] [sampling, model, data, applied, digit, kernel, invariant, test, generative, sample] [number] [differentiable, parallel] [error, subsequent, result, achieves]
A Reduced-Dimension fMRI Shared Response Model
Po-Hsuan (Cameron) Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James Haxby, Peter J. Ramadge

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Wed Dec 9th 02:50 - 03:30 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #23
[group, accuracy, xit, form, factor, probabilistic] [response, space, segment, average, learned, collected, learning, datasets, basis, individual, approach, respect, informative, uninformative, allows] [shared, subject, srm, fmri, training, brain, experiment, learn, dataset, feature, voxel, spatial, movie, half, human, seg, cognitive, image, neural, raider, wit, anatomical, performance, alignment, removing, voxels, temporal, original, topography, hyperalignment, ventral] [data, model, functional, test, estimated, stimulus, held, distinct, figure, series, latent, cortical, standard, aggregation, multivariate] [time, number] [problem, objective, method, projected] [correlation, error, analysis, matrix, residual, orthogonal, component, overlapping, statistical, random, independent, dimension, application, solution]
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments
Dane S. Corneil, Wulfram Gerstner

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Wed Dec 9th 02:50 - 03:30 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #10
[state, position, rapid, transition, intermediate, rapidly, initial, corresponding, decoded, current, animal, move, represents] [goal, successor, attractor, environment, representing, bump, hippocampus, space, learning, location, hippocampal, reward, planning, stimulated, based, active, wik, sin, rec, set, metric, provide, preplay] [network, activity, place, representation, input, spatial, neural, encoding, recurrent, slow, represent, feature, neuron, decoding, memory, generate, generated, wij, weight, dorsal, plasticity, tend] [computational, model, approximation, cell, observed, point, figure] [path, time, shortest] [coordinate, function, mapping, large, gradient] [arbitrary, consider, eigenvectors, role, analysis, matrix, vector, stable, recovered, result]
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin, Tomas Mikolov

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #9
[list, discrete, work, current, state, count, counting, term] [learning, algorithmic, set, example, machine, learned, binary, multiple, based, allows, structured, capacity, approach, goal] [stack, rnn, recurrent, pop, memory, push, learn, hidden, neural, network, sequence, generated, lstm, table, long, deep, training, language, correctly, layer, complex, predict, longer, generalize, rnns, previous, input, represent, short, predicted, stored, validation, turing, representation] [model, continuous, standard, figure, test, computational, data] [simple, time, number, study, element, focus, action, probability] [top, second, memorization, gradient, linear, note] [matrix, consider, random, studied]
Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-Julien, Brian McWilliams

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #78
[updated, reference, current] [learning, machine, evaluation, based, experimental, allows, science, provide] [memory, sharing, relevant, previous] [stochastic, data, variance, approximation, point, expectation, approximate, family] [number, size, algorithm, lemma, case, corollary, neighborhood, uniform, choice, regime, setting, choosing] [saga, step, gradient, sgd, note, suboptimality, rate, convergence, update, function, memorization, svrg, descent, regression, constant, requires, lyapunov, freshness, reduced, iterates, apply, chosen, cst, linear, correction, optimization, guaranteed, regularized, convex, additional, large, method, call, variant, main] [small, geometric, analysis, consider, condition, special, theorem]
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Josh Tenenbaum

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #6
[work, represented] [learning, set, machine, static, approach, respect, conference, intrinsic, propose] [network, encoder, representation, training, image, decoder, face, disentangled, deep, azimuth, learn, latents, trained, output, single, code, neural, rendering, represent, convolutional, chair, reconstruction, convolution, train, object, lighting, input, pose, dataset, interpretable, consists, generate, scene, elevation, force, ability, angle, arxiv, preprint, transformation, produce, generating, ztrain, architecture, render] [latent, model, figure, data, variational, procedure, light, proposed, test, stochastic, correspond, approximate, generative, distribution, approximation, varying] [algorithm] [batch, inverse, gradient, function] [random, error, ieee]
Learning to Segment Object Candidates
Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #8
[box, inference, scoring, bounding, edgeboxes] [recall, set, geodesic, approach, score, average, learning, multiple, prediction, label, predicts, location] [object, segmentation, image, deepmask, patch, proposal, network, mask, convolutional, branch, detection, input, output, selectivesearch, fully, trained, mcg, layer, pascal, rigor, connected, coco, generate, training, iou, pixel, performance, single, feature, deepmaskzoom, scale, architecture, generating, neural, deep, generates, auc, densely, previous, generated, convnet, train, imagenet, table, voc, vgg, evaluate] [model, figure, full, applied, test, proposed] [number] [large, fast, method, rely, apply, note] [high, positive, centered, achieves, well, dimension, small]
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors
Dan Rosenbaum, Yair Weiss

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #12
[inference, performing, assignment, michael, factor, visually] [learning, learned, based, approach, cost, conference, set, machine, naive, paper] [image, gating, network, training, restoration, discriminative, denoising, trained, performance, patch, natural, epll, clean, computer, discriminatively, pattern, neural, successful, vision, deblurring, perform, psnr, magnitude, architecture, stefan, learn, better, consth, layer, combine] [generative, full, gmm, gaussian, model, posterior, figure, log, computational, computation, prior, mixture, latent, comparable, difference, expensive, covariance, proposed] [probability, number, best, side, seek] [method, advantage, step, speedup, fast, top, local] [ieee, noise, component, modularity, noisy, smaller, eigenvectors]
Associative Memory via a Sparse Recovery Model
Arya Mazumdar, Ankit Singh Rawat

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #74
[message, coherence, store, correct, associated, soft, mutual] [set, basis, recall, learning, based, capacity, approach, binary, space] [dataset, neural, memory, performance, described, stored, network] [model, gaussian, exponential] [algorithm, number, probability, feasible, property, graph, proposition, size, edge, failure] [linear, note, problem, large, constant, satisfy, iteration, arg, main, max, storage] [matrix, recovery, associative, sparse, vector, random, iterative, neurally, phase, noise, theorem, ist, bregman, consider, ieee, version, thresholding, signal, noisy, orthogonal, solution, bipartite, sparsity, subspace, spanned, orthonormal, min, error, small, pursuit, analysis]
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #73
[variable, inference, theory, term, exact] [score, maximization, propose, framework, optimal, respect, existing, based, approach, hypothesis, learning] [arxiv, preprint, level] [latent, log, parameter, mixture, estimator, asymptotic, sample, proposed, likelihood, gaussian, population, model, university, statistic, uncertainty, true, detailed] [algorithm, maximum, prove, size, bound, testing, upper] [rate, assumption, function, gradient, regression, large, step, converges, optimization, assume, max, implementation, local, ascent, convergence, global, linear, general] [dimensional, high, statistical, condition, error, decorrelated, sparsity, establish, estimation, low, version, theorem, order, analysis, journal, annals, init, attained, truncation, solution, appendix, geometric, theoretical, inferential, attains, iterative, nuisance, tensor, nsf]
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep K. Ravikumar, Inderjit S. Dhillon

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #76
[constraint, programming, corresponding] [system, cost, set, approach, active, machine, optimal, learning, precision, existing] [program, relation] [point, covariance, data, log] [algorithm, complexity, number, size, bound] [linear, dual, method, coordinate, solve, primal, iteration, descent, subproblem, convergence, lagrangian, problem, augmented, alm, inverse, simplex, quadratic, optimization, binding, newton, interior, constant, gradient, note, direction, proximal, rcd, function, iterates, ipm, projected, support, update, requires, satisfying, minimization, global, objective] [matrix, sparse, solution, solving, product, estimation, vector, iterative, nonnegative, min, analysis, high, random, denote, theorem, sparsity, journal, smaller]
Matrix Completion Under Monotonic Single Index Models
Ravi Sastry Ganti, Laura Balzano, Rebecca Willett

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #75
[work, discrete, performing, called] [set, learning, real, calibrated, datasets, effective, paper, approach, based, task, provide, distance, entire] [training, perform, single] [equation, estimate, model, observed, proposed, synthetic, kernel, gaussian, mse, sample, data] [algorithm, probability, best, bounded] [function, problem, optimization, loss, convex, squared, lipschitz, assume, gradient, solve, applying, def, linear, assumption, objective, large, call, descent, minimization, update, projected, euclidean] [matrix, completion, mmc, rank, monotonic, rmse, lpav, consider, min, high, estimation, error, low, solving, random, norm, order, lrmc, recommender, incomplete, studied, uniformly, singular, independent, well, analysis, sampled, clustering, journal]
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos, Larry Wasserman, james m. robins

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #69
[work, mutual, form, construct] [based, entropy, approach, learning, existing, framework, class, machine, paper, propose, empirical, nyi, require, computationally, multiple] [table, single, feature] [functionals, estimator, loo, estimating, divergence, density, nonparametric, distribution, functional, asymptotic, data, estimate, conditional, parametric, teaux, kde, tds, von, demonstrate, vme, semiparametric, derivative, hellinger, continuous, tloo, bandwidth, expansion, integral, compared, compare, differentiability, university, limiting, normal] [lower, bound, minimax, setting, bounded, focus, proof, prove, achieve] [rate, function, convergence, technique, assumption, method, splitting, satisfy, second, smoothness, correction] [estimation, statistical, appendix, analysis, order, ieee, knn, theorem, clustering, establish]
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #18
[work, directly] [learning, prediction, control, paper, based, space, predicts] [encoding, recurrent, deep, feedforward, controlled, predicted, predict, neural, atari, network, frame, temporal, object, dqn, video, future, layer, input, convolutional, learn, feature, movement, previous, evaluate, image, convolution, trained, hidden, informed, cnn, better, generate, lstm, naff, decoding, involve, training, performance, modeling, henc, transformation, multiplicative, baseline, pixel, architecture] [model, figure, predictive, proposed, data, true] [action, exploration, game, time, number, similarity, play] [squared, top] [random, small, error, vector, restricted]
Local Smoothness in Variance Reduced Optimization
Daniel Vainsencher, Han Liu, Tong Zhang

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #72
[theory, current, form, factor, proportion, reference] [empirical, locally, effective, set, risk, allows, provide, approach] [single, arxiv, relevant, preprint, half] [sampling, stochastic, figure, data, speed, variance, fewer] [algorithm, uniform, smoothed, dependent, number, expected, bound, size, lemma] [loss, sdca, local, gradient, smoothness, svrg, global, constant, duality, smooth, dual, hinge, ball, compute, strong, coordinate, convergence, svm, large, tong, gap, optimization, descent, problem, lipschitz, ascent, remark, apply, general, avg, proximal, regularized, step, optimum, certify, ill, larger, reduced] [small, solving, theorem, consider, naturally]
Bounding errors of Expectation-Propagation
Guillaume P. Dehaene, Simon Barthelmé

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #70
[quality, term, propagation, bounding, inference, interesting, work, corresponding, extension] [close, distance, changing, machine, learning, cost] [natural, better, higher, third, performance] [approximation, gaussian, cga, distribution, vep, variance, url, true, target, log, approximate, expectation, slowly, point, asymptotic, divergence, introduce, computed, approximating, posterior, applied, qkl, investigate, exponential, site, hybrid, computational, dehaene] [bound, exp, limit, prove, proof, isbn, probability, number] [note, compute, method, computing, technical, large, excess, call, sense, step] [order, mode, moment, error, theoretical, good, result, well, consider, fourth, offer, odd, independent]
Collaboratively Learning Preferences from Ordinal Data
Sewoong Oh, Kiran K. Thekumparampil, Jiaming Xu

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #74
[inference, logarithmic, discrete, multinomial] [learning, provide, approach, set, range, history, utility, subset] [predict, modeling, learn, hidden, category, ranked] [model, user, log, sampling, sample, proposed, dynamic, figure, parameter, data, estimate, drawn, distribution] [choice, bound, ranking, corollary, upper, number, preference, probability, lower, algorithm, case, proof, size, underlying, item, minimax, structure] [convex, presented, optimization, assume, ordinal, general, second, larger, solve, function, regularization] [error, mnl, norm, matrix, theorem, rank, collaborative, bundled, random, nuclear, purchase, denote, relaxation, appendix, solving, achieves, logit, suppose, order, fundamental, independent, rmse, analysis, noisy, row, provable]
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk
Guillaume Papa, Stéphan Clémençon, Aurélien Bellet

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #75
[tuples, form, term] [empirical, learning, risk, set, based, metric, generalization, machine, provide, distance, average, approach, paper, improve, respect, supplementary] [performance, auc, ability] [stochastic, variance, sampling, data, approximation, sample, conditional, computational, estimate, standard, distribution, estimator, proposed, asymptotic, test, figure, unbiased, kernel, xdk] [proposition, number, size, case, bound, complete, proof, probability, ranking, focus, degree, pairwise] [gradient, sgd, optimization, minimization, function, replacement, convex, batch, loss, convergence, rate, method, derive, implementation, xik, step, technical, large, generalized, descent] [incomplete, statistical, analysis, estimation, error, denote, theorem, order, independent, clustering, result, sketch]
Active Learning from Weak and Strong Labelers
Chicheng Zhang, Kamalika Chaudhuri

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #46
[work, negative, current, key, decision, implicitly, observation] [learning, active, label, weak, disagreement, set, labeler, hypothesis, class, multiple, provide, query, false, statistically, agnostic, empirical, errd, example, dbal, querying, incorrect, consistent, labelled, goal, based, close, determine, risk, differs, labelers, predicts, generalization, medical] [region, labeled, training, learn, labeling, unlabeled, dataset, predict, annotation, train, realistic] [difference, target, data, distribution, standard, model, sample, localized] [algorithm, number, complexity, probability, observe, notation, case, setting, learner, achieve] [oracle, strong, excess, assumption, large, second, general, linear, problem, main, note, overhead, erm] [error, low, order, theorem, random, high, good]
Fast Second Order Stochastic Backpropagation for Variational Inference
Kai Fan, Ziteng Wang, Jeff Beck, James Kwok, Katherine A. Heller

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #38
[inference, form, scalable, three, work] [learning, machine, cost, datasets, dimensionality] [deep, neural, train, vae, reconstruction, encoder, reduce, multiplication, hidden, james, natural] [variational, gaussian, stochastic, model, latent, backpropagation, generative, variance, parameter, expectation, approximate, computation, ada, bayesian, distribution, test, standard, continuous, computational, data, derivative, estimator, monte, approximation, carlo, prior, covariance, reparameterization, unbiased, figure, university, estimate] [lower, bound, algorithm, number, complexity, property, size] [gradient, hessian, optimization, function, method, hfsgvi, lipschitz, convergence, logistic, regression, linear, rate, fast, constant, apply, compute, problem, dsvi, note, technique, sgd] [order, matrix, theorem, small, consider]
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution
Yan Huang, Wei Wang, Liang Wang

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #6
[motion, current, work, three, denoted] [learning, conference, machine, propose, international, based, existing, learned] [recurrent, video, temporal, brcn, hidden, convolutional, layer, network, bidirectional, image, feedforward, convolution, psnr, input, frame, better, previous, super, forward, computer, neural, training, original, anr, pattern, connection, table, modelling, complex, bicubic, connected, backward, visual, feature, trbm, optical, timestep, output, spatial, represent, learn, turbine] [model, conditional, dependency, figure, proposed, computational, full, speed] [time, size, achieve, comparison, focus] [method, note, second, faster] [ieee, including, running, vector, high]
Model-Based Relative Entropy Stochastic Search
Abbas Abdolmaleki, Rudolf Lioutikov, Jan R. Peters, Nuno Lau, Luis Pualo Reis, Gerhard Neumann

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #40
[search, outperforms, considerably, form, state] [policy, entropy, surrogate, learning, task, robot, reaching, average, dimensionality, reward, control, machine, return, planar, premature, hole, algorithmic, xnes, beer, based, conference, reduction, evolutionary, evaluation, avoid, learned] [natural, learn, performance, higher, supervised] [distribution, stochastic, model, figure, parameter, standard, typically, gaussian, point, bayesian, equation, university, approximation, sample, pong, estimate, sampling, covariance, integral, approximate, posterior, test] [algorithm, bound, comparison] [objective, quadratic, function, optimization, gradient, linear, update, method, ball, problem, note, closed, dual, regression] [matrix, relative, order, power, noisy, vector, projection, dimensional, error, introduced]
Learnability of Influence in Networks
Harikrishna Narasimhan, David C. Parkes, Yaron Singer

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #49
[node, observation, opinion, work, corresponding, initial, interesting] [learning, set, threshold, based, class, learned, subset, approach, binary, provide, individual] [training, network, neural, layer, represent, learn, input] [sample, model, full, observed, estimated, parameter, process, likelihood, estimating, standard, diffusion, expectation] [time, learnability, complexity, seed, pac, partial, cascade, wuv, social, algorithm, setting, voter, probability, graph, number, learnable, proof, edge, case, structure, err, exists, prescribed] [function, local, linear, step, problem, loss, note, strong, assumption] [polynomial, error, consider, result, denote, estimation, independent, appendix, small, random]
Expectation Particle Belief Propagation
Thibaut Lienart, Yee Whye Teh, Arnaud Doucet

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #42
[belief, node, pbp, epbp, lbp, particle, propagation, muv, message, buv, mwu, form, grid, loopy, evaluating, potential, exact, nbp, current, michael, alan, tracking, tree, tractable, marginals, graphical] [consistent, approach, example, framework, optimal, set, propose, based] [proposal, image, original, denoising] [exponential, family, sampling, distribution, figure, expectation, estimated, nonparametric, mcmc, computational, approximated, continuous, volume, true, applied, approximation, deterministic, tilted, accurate, estimator, approximate] [number, algorithm, comparison, complexity, case, edge, alexander, observe, increasing, simple] [implementation, method, update, quadratic, compute, iteration, computing, step] [error, consider, good, random, projection, ieee, well]
Embedding Inference for Structured Multilabel Prediction
Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding, Dale Schuurmans

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Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #43
[inference, mutual, form, constraint, search, joint, logical, work, key, assignment, tractable, enforce] [prediction, structured, label, score, multilabel, set, learning, machine, exclusion, implication, tik, approach, conference, international, exist, allows, exploiting, wipo, enron, allow, relationship, predicting, consistent, learned, contradicts] [training, output, representation, feature, embedding, image, processing, table, text, neural, expressed, program] [model, test, standard, dynamic, prior, data, proposed, target, assumed, demonstrate] [implies, case, observe, lemma, proposition, structure, time] [large, max, margin, arg, function, loss, method, convex, linear, assumption, unconstrained, regularization, problem, assume] [consider, desired, matrix, constrained, journal]
Tractable Learning for Complex Probability Queries
Jessa Bekker, Jesse Davis, Arthur Choi, Adnan Darwiche, Guy Van den Broeck

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #44
[tractable, markov, sdd, sdds, inference, learnsdd, acmn, tractability, probabilistic, variable, parity, decision, van, timeout, mutex, graphical, search, negative, den, voting, sentential, candidate, add, supplement, exact, selected, conjunctive, group] [learning, query, learned, set, class, score, machine, cost, allows, approach, arithmetic, example, control, evaluation] [complex, feature, network, answer, learn, representation, circuit, answering, training, weight, table] [model, data, figure, compact, test, dynamic] [probability, size, time, complexity, number, structure, algorithm, best] [support, function, linear] [symmetric, boolean, positive, smaller, guarantee, weighted, random, including]
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar Bhadresh Shah, Denny Zhou

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #45
[mechanism, correct, strictly, quality, incentivized] [learning, set, machine, mechanical, based, select, expect, conducted, multiple, reward, threshold, paper, task] [answer, question, multiplicative, skip, amazon, labeled, gate, turk] [standard, proposed, distribution, figure, data, synthetic] [algorithm, setting, expected, proof, choice, lower, number, simple, observe, choosing] [payment, worker, crowdsourcing, gold, amount, incentive, attempted, satisfy, expenditure, function, assume, paid, identifying, desirable, nihar, large, golden, denotes, impose, option, objective, simply, dengyong, additional] [error, theorem, consider, additive, design, uniformly, requirement, result, unique, denote, condition, appendix, randomly, compatibility, popular]
Local Expectation Gradients for Black Box Variational Inference
Michalis Titsias, Miguel Lázaro-Gredilla

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #46
[inference, gibbs, belief, variable, exact, box, applicable, discrete, probabilistic, form, associated] [based, learning, set, approach, notice, control, multiple, conference, reduction, machine, international] [hidden, single, mnist, training, table, perform] [variational, stochastic, expectation, variance, log, distribution, qvi, estimate, sampling, model, legrad, sample, parameter, latent, sigmoid, continuous, conditional, approximation, ldgrad, difference, figure, eqv, black, david, approximate, posterior, draw, compare, derivative, introduce, standard, intractable, bayesian, monte] [algorithm, lower, bound, simple, case, remaining, number] [gradient, local, optimization, reparametrization, function, method, apply, trick, general, second, regression, logistic, differentiable] [random, consider, order, expression, exactly, independent, low]
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
Piyush Rai, Changwei Hu, Ricardo Henao, Lawrence Carin

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[gibbs, topic, inference, form, scalable, pkn, scalability, ukn, mln, gamma, bcs, mkn, bmlpl, compphys, document, mlkn, count, work, mlnk] [label, learning, framework, based, binary, set, space, dimensionality, eurlex, multilabel, prediction, cost, example, easily, maximization, allows] [table, feature, experiment, report, missing, embedding, embeddings, scale, auc, training, perform, better] [model, data, sampling, bayesian, latent, distribution, proposed, computational, test, poisson, estimating, likelihood, conditional, expectation, hyperparameters] [number, time, link, algorithm, depend] [denotes, note, closed, method, rate, linear, computing] [matrix, positive, vector, massive, column, compressed, running, sampled, sparsity]
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton, Soumith Chintala, arthur szlam, Rob Fergus

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Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #1
[conditioning, quality, equal, making, work, window, three, presentation] [approach, real, class, learning, set, framework, evaluation] [image, training, lapgan, pyramid, gan, level, laplacian, trained, deep, input, natural, generate, computer, generated, convolutional, train, produce, lsun, scene, network, modeling, human, goodfellow, convnet, boltzmann, texture, output, scale, discriminative, representation, realistic, generation, object, unsupervised, neural, mnist, resolution, synthesis] [model, generative, conditional, standard, sample, drawn, gaussian, procedure, figure, data, proposed, difference, sampling, parametric, full, distribution] [adversarial, structure, probability, size, simple] [note, larger, large, presented] [noise, vector, random, residual, subsequent, version, high, small]
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
Felipe Tobar, Thang D. Bui, Richard E. Turner

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Spotlight: Tue Dec 8th 05:30 - 06:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #32
[inference, tractable, form, mix, probabilistic, window, domain, considered] [learning, approach, machine, set, psd, conference, lat, imputation, system] [convolution, content, neural, output, learnt] [process, kernel, gaussian, model, variational, inducing, covariance, prior, nonparametric, data, dse, proposed, distribution, integral, posterior, true, latent, series, gpcm, exponential, approximation, frequency, approximate, bayesian, density, stochastic, university, kdse, generative, spectrum, periodogram, sampling, parametric, cambridge, figure, ime, estimate, drawn, imat, synthetic, mse, raw] [time, case, bound, stationary, structure, number] [function, linear, method, squared, regression, second, main] [spectral, signal, power, differential, error, design, order]
Learning Structured Output Representation using Deep Conditional Generative Models
Kihyuk Sohn, Honglak Lee, Xinchen Yan

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Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #3
[inference, negative, graphical, work, accuracy, ground, diverse, term] [prediction, structured, learning, multiple, provide, propose, database, framework, task] [output, deep, cvae, input, network, segmentation, training, neural, performance, recognition, convolutional, image, cub, lfw, baseline, cnn, semantic, trained, object, generated, table, modeling, pixel, gdnn, gsnn, labeled, labeling, boltzmann, face, report, evaluate, validation, train, vae, visual, challenging, cll, omission, cgms, recurrent] [model, conditional, stochastic, proposed, generative, latent, distribution, gaussian, variational, prior, process, figure, log, deterministic, hybrid, data, test, demonstrate] [partial, number, directed, lower, bound, setting] [objective, function] [noise, estimation, block]
Shepard Convolutional Neural Networks
Jimmy SJ Ren, Li Xu, Qiong Yan, Wenxiu Sun

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Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #2
[factor, group, form, current] [learning, multiple, based, indicating, learned] [interpolation, layer, image, shepard, network, neural, convolutional, cnn, translation, deep, shcnn, architecture, resolution, previous, tvi, mask, feature, inpainting, missing, psnr, convolution, visual, pixel, anr, super, srcnn, face, vision, bicubic, sensetime, regular, convolved, deeper, input, trainable, upscaling, generated, barbara, natural, learn, man, zebra, dirt] [figure, data, kernel, nonlinearity, applied, process, powerful, standard] [size, comparison, number, element] [variant, function, method, limited, note, avg] [sparse, column, design, high, including, well, low]
Visalogy: Answering Visual Analogy Questions
Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi

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Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #5
[negative, correct] [set, recall, learning, space, select, approach, task, generalization, close] [analogy, image, network, visual, question, training, alexnet, embedding, dataset, natural, quadruple, answering, view, chance, shared, style, trained, category, unseen, learn, siamese, double, performance, convolutional, attribute, feature, fully, architecture, object, connected, layer, input, baseline, analogical, reasoning, train, answer, generate, neural, vaqa, semantic, discovering, explored, representation, retrieved, build] [figure, test, proposed] [property, number, action, size] [mapping, top, loss, method, function, margin, problem, second, large] [positive, solving, retrieval, randomly, vector, explained, well]
Expressing an Image Stream with a Sequence of Natural Sentences
Cesc C. Park, Gunhee Kim

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Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #4
[coherence, denoted, candidate, associated, three, work, search, key, create] [query, approach, multiple, set, score, evaluation, coherent, learning, select, nyc, individual, based, propose] [image, text, sequence, sentence, blog, language, training, recurrent, convolutional, natural, neural, brnn, stream, single, performance, multimodal, better, quantitative, output, deep, paragraph, content, input, amt, bidirectional, crcn, table, description, representation, generation, previous, dataset, activation, learn, architecture, cnn, forward, semantic, consists, include, video, disneyland, visual, train, entity] [model, data, test, median, user, compare] [best, ranking, algorithm] [method, local, problem, large, parallel] [retrieval, vector]
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #40
[decision, node, state, tree, construct, associated, current, three, leaf, jointly, transition, internal] [sensor, learning, example, policy, cost, system, acquisition, subset, risk, set, average, conference, empirical, international, binary, learned, goal, computationally, approach, machine, acquired, csl, propose, space, cstc, astc, classifying, bayes, reward, entire, allows, wang, optimal, classify, submodular] [learn, performance, training, trained, feature, single, reducing] [data, test, approximation, sequential, compare] [dag, number, algorithm, graph, outgoing, adaptive, path, greedy, budgeted, simple, case, action] [problem, function, large, loss, assume, apply, linear] [error, small, consider, selection, ssc, min, solving]
A hybrid sampler for Poisson-Kingman mixture models
Maria Lomeli, Stefano Favaro, Yee Whye Teh

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #41
[marginal, sampler, corresponding, surplus, favaro, stick, inference, novel, variable, dirichlet, partition, joint, gibbs, dealing, markov, teh, gamma, breaking] [mass, class, measure, existing, material, supplementary, representing] [representation, weight, represent, length, table, rest, sequence, memory] [conditional, distribution, hybrid, mixture, density, sampling, mcmc, sample, process, bayesian, nonparametric, equation, normalized, model, computational, prior, parameter, university, likelihood, kth] [total, complete, algorithm, probability, exp, mixing, number, pitman, starting, chain, size] [main, step, function, large, method, base] [random, journal, cluster, running, component, dimensional, stable, positive, statistical, independent, ptq]
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach
Wenye Li

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #41
[ratio, ground, work, intersection, represented, initial, protein] [calibration, set, based, learning, approach, calibrated, reported, imputation, space, improvement, nearest, paper] [missing, truth, fully, image, benchmark, feature, better, sequence] [observed, data, proposed, sample, approximation, usps, figure, estimate, point, von, model, approximate, true] [number, algorithm, similarity, simple, element, unknown, meet, maximum] [method, problem, large, closed, improved, convex, xij, siam, computing] [matrix, jaccard, projection, knn, classification, error, square, deviation, jij, positive, frobenius, incomplete, journal, alternating, vector, analysis, requirement, result, denote, theorem, nonempty, carried, solution, statistical, investigates, unique, webspam, imputed]
Regularization Path of Cross-Validation Error Lower Bounds
Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama, Ichiro Takeuchi

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #69
[smallest, exact, search, current, novel, solved, represented] [set, framework, machine, optimal, learning, score, instance, supplementary, international, paper, generalization, conference, entire, provide] [validation, level, neural, input, dataset, table, training] [parameter, approximate, approximation, proposed, figure, tuning, computational, computed, bayesian] [lower, best, bound, algorithm, path, choice, upper, number, lemma, interval, time, size] [regularization, function, problem, optimization, sense, guaranteed, computing, setup, presented, support, wct, loss, compute, note, safe, obtaining, second, reasonable, theoretically, method, practical, main, greater, ionosphere, linear, convex] [error, solution, vector, theoretical, appendix, guarantee, min, screening, journal, smaller, good]
Supervised Learning for Dynamical System Learning
Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #41
[state, observation, belief, markov, represents, inference, work, three, initial] [learning, system, observable, framework, instrumental, history, machine, prediction, xtest, set, byron, conference, existing] [future, training, supervised, learn, predict, incorporate, represent, hidden, table, sequence, better, performance] [dynamical, model, predictive, distribution, estimate, figure, data, covariance, extended, estimated, prior, nonlinear, process, latent, kernel, geoffrey, kalman, conditional, assuming, university] [knowledge, probability, time, algorithm, bound, number] [regression, linear, compute, method, assume, absolute, denotes] [spectral, vector, error, matrix, singular, noise, solving, indicator, independent, lasso, theorem, statistical, idea, recover]
A class of network models recoverable by spectral clustering
Yali Wan, Marina Meila

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #76
[node, partition, markov, separation] [set, paper, based, easily, class, control, perturbation] [frame, laplacian, level, neural, processing] [model, stochastic, extended, log, parametrization, university] [graph, concentration, preference, proposition, algorithm, degree, probability, admits, prove, number, expected, case, bound, depend, proof, dmax, dependent, edge] [assumption, note, constant, call, main, general, problem] [matrix, spectral, clustering, dmin, pfm, recovery, random, cluster, grow, hpfm, result, theorem, eigenvalue, block, denote, perr, sij, condition, spurious, rlk, sbm, community, eigenvectors, rkl, hold, dtot, cmax, row, theoretical, finding, principal, dcl, introduced]
Monotone k-Submodular Function Maximization with Size Constraints
Naoto Ohsaka, Yuichi Yoshida

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #77
[constraint, ratio, outperform, topic, lazy, evaluating] [maximizing, set, submodular, entropy, return, sensor, individual, maximization, marketing, machine, diminishing, learning, evaluation, kind, gain, selecting, active, select] [subject, single, baseline] [log, approximation, figure, process, diffusion, modeled, sampling] [algorithm, size, monotone, number, probability, spread, greedy, total, placement, time, social, pair, edge, graph, element, assign, seed, greedily, suppi, bound, orthant, implemented] [function, problem, note, large, choose, technique, apply, linear, arg, chosen] [random, solution, vector, consider, disjoint, analysis, theorem, appendix, suppose, journal, running, product, order]
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
Alaa Saade, Florent Krzakala, Lenka Zdeborová

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #72
[negative, initial, corresponding, belief, exact, state, inferred, transition, propagation, graphical, energy, correct, theory] [approach, cost, paper, existing, achieved, set, detect] [neural, performance, detection, reconstruction] [model, density, observed, figure, approximation, parameter, estimate, estimated, distribution, point, computation, gaussian, standard, population, spectrum, computed] [algorithm, number, graph, setting, case, critical, direct, size, exists, choice] [hessian, large, function, optimization, problem, free, local, minimization, method, note] [matrix, rank, bethe, spectral, random, completion, macbeth, retrieval, revealed, condition, phase, small, singular, rmse, eigenvectors, mtrue, low, paramagnetic, sparse, optspace, consider, row, statistical, spurious, analysis, diag, positive, ieee]
Robust PCA with compressed data
Wooseok Ha, Rina Foygel Barber

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #73
[term, ratio, reweighted, sum, iid] [set, john, examine, existing] [missing, original, program, processing, neural, performance, generated] [data, model, observed, figure, multivariate, sampling, simulation] [total, bound, access, case, partial, upper, write, probability, setting, structure] [squared, convex, note, problem, linear, regression, method, max, assume, maxi] [matrix, sparse, compression, component, error, compressed, random, robust, dimension, noise, rank, theorem, result, scaling, pca, zpost, zpre, theoretical, decomposition, column, consider, chlorine, recover, sparsity, zmissing, condition, solution, plotted, projection, subgaussian, recovering, compress, principal, analysis, nonzero, spikiness, span, orthogonal, version, additive, frobenius, order, suppose, zmodel, signal, low, row]
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #74
[partition, factor, work, accuracy, scalable, balancing, ground, called] [submodular, set, average, based, machine, existing, instance, submodularity, provide, propose, learning] [image, training, unsupervised, neural, deep, generalize, segmentation, better, network, mnist] [approximation, data, log, test, proposed, approximate, parameter] [algorithm, partitioning, case, greedy, tight, omb, number, bound, welfare, simple, graph, allocation, lower, setting] [problem, function, round, general, convex, objective, solve, parallel, scheme, admm, optimization, maxi, large] [reed, distributed, homogeneous, asz, guarantee, theorem, eneral, heterogeneous, random, robust, modular, block, solving, slb, relaxation, solution, achieves, hardness, including, sfa, solves, multiway, leading, mixed, clustering, idea]
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector
Chao Qu, Huan Xu

[pdf] [rank by tf-idf similarity to this]
[abstract]

[corresponding, work, motion, proportional, exact] [set, machine, optimal, international, based, notice, conference] [detection, clean, segmentation, future, performance, region] [data, log, figure, model, proposed, numerical, true, sample, demonstrate] [bound, number, property, upper, case, lower, algorithm, lemma, increasing] [problem, method, dual, linear, regression, convex, large, solve, chosen, denotes, remark, larger] [subspace, irrelevant, robust, clustering, ssc, dantzig, condition, inner, solution, sparse, min, denote, product, matrix, dimension, selector, analysis, lasso, column, corrupted, idea, trivial, ieee, consider, establish, recovery, decompose, relviolation, journal, uniformly, norm, vector, replace, analyzing, theoretical]
Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu, Alexander T. Ihler

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #68
[marginal, map, inference, form, sum, wmb, trw, gdd, elimination, joint, graphical, partition, counting, reordering, clique, wni, decoded, node, monotonically, belief, spanning, mbe, probabilistic, three, reduces, variable, markov, work, making] [set, class, provide, learning, entropy, based] [representation, hidden] [log, figure, conditional, approximate, variational, matching, full, computation, applied] [bound, upper, exp, algorithm, number, graph, maximum] [dual, optimization, primal, descent, gradient, update, local, coordinate, max, free, convex, general, convergent, function, large, optimize, involves, optimizing, derive, note, method, parallel] [decomposition, order, power, block, monotonic, including, theorem, weighted]
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks
Kevin Scaman, Rémi Lemonnier, Nicolas Vayatis

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #69
[node, anytime, key] [behavior, maximization, international, conference, provide, set, empirical, machine, learning] [network, connected, sequence, temporal] [model, diffusion, process, exponential, laplace, figure, parameter, data] [time, critical, contagion, transmission, lim, pij, corollary, bound, inf, proposition, upper, hazard, tight, sir, cascade, size, infected, maximum, radius, case, number, totally, influence, social, epidemic, lower, knowledge, infection, discovery, edge, manuel, regime, outgoing, explosion, met, probability, sigkdd, reached] [large, derive, general, assume, note] [spectral, matrix, theoretical, order, random, phase, role, small, adjacency]
Estimating Mixture Models via Mixtures of Polynomials
Sida Wang, Arun Tejasvi Chaganty, Percy S. Liang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #70
[observation, corresponding, theory, key, solved, extraction, constraint, variable] [learning, measure, example, framework, approach, easily, representing, machine, set] [computer, table, extract, modeling] [mixture, model, data, parameter, gaussians, true, latent, observed, drawn, equation, expectation, point, distribution] [degree, structure, simple, algorithm, probability] [problem, method, linear, generalized, solve, general, optimization, global, note, mathematical, simply] [moment, polynomial, matrix, polymom, solving, solution, component, monomials, recover, tensor, random, eigenvalue, consider, spectral, appendix, guarantee, statistical, weighted, estimation, relaxation, recovery, idea, diagonal, monomial, handle, spherical, theorem, noise, column, sdp]
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
Eunho Yang, Aurelie C. Lozano

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #71
[graphical, negative, corresponding] [set, approach, provide, precision, propose, minimize] [network, weight, modeling, generated, pathway] [gaussian, parameter, log, data, model, sample, estimator, standard, figure, estimate, simulated, drawn, likelihood, tuning, covariance] [number, corollary, bound, probability, concentration, case] [local, optimum, note, problem, optimization, method, regularization, guaranteed, regularized, assume, linear, regression, strong, max, choose, gradient, function, descent] [robust, lasso, statistical, trimmed, gene, matrix, sparse, estimation, error, consider, solving, expression, suppose, corrupted, condition, positive, norm, selection, random, theorem, kegg, sensitivity, provided, glasso, ggm, frobenius, analysis, arbitrary]
Learning to Linearize Under Uncertainty
Ross Goroshin, Michael F. Mathieu, Yann LeCun

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #7
[corresponding, work, three, pool, variable] [learning, prediction, learned, set, space, locally, average, manifold] [architecture, feature, deep, code, pooling, video, training, representation, network, natural, frame, input, decoder, trained, linearize, encoder, generated, temporal, predicted, unsupervised, linearized, magnitude, shallow, convolutional, sequence, learn, spatialpadding, computer, predict, arxiv, topology, conv, neural, preprint, introduces, spatial, train, activation, third, inherent] [figure, equation, latent, uncertainty, extrapolation, data, simulated, proposed, prior, explicit, introduce] [time, implicit] [linear, operator, curvature, minimizing, local, loss, max, assume, linearly, note, gradient] [phase, error, consider, dimensional, stable, order]
Skip-Thought Vectors
Ryan Kiros, Yukun Zhu, Ruslan R. Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #6
[christopher, state, composition] [learning, task, learned, machine, evaluation, set, score, andrew, describe, existing] [sentence, word, encoder, image, semantic, table, neural, training, relatedness, vocabulary, paraphrase, decoder, trained, embedding, deep, learn, perform, sick, train, predict, feature, man, translation, semeval, previous, rnn, sequence, dataset, costume, richard, recursive, representation, girl, performance, pot, generic, evaluate, woman, kyunghyun, encode, motorcycle, hidden, vrnn, extract, sentiment, recurrent, person, coco] [model, test, computation, difference] [pair, ranking] [linear, additional, large, compute, method, objective, loss] [vector, well, consider, matrix, result, denote]
Natural Neural Networks
Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, koray kavukcuoglu

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #9
[conditioning, canonical, initial, form, work, term, initialization, directly, closely] [learning, improve, set, cost, distance, approach, impact, space, respect] [natural, neural, deep, training, layer, network, convolutional, imagenet, better, architecture, connection, validation, performed, yann] [model, normalization, compared, estimating, stochastic, figure, parameter, covariance, data, computed, full] [number, algorithm, simple, size, nature] [gradient, whitening, prong, descent, whitened, fisher, mirror, batch, reparametrization, method, update, sgd, projected, online, rni, large, fim, optimization, dual, function, convergence, faster, fwi, remains, regularization, rate, problem, simply, amortization, proximal] [error, matrix, diagonal, block, vector, version, order, well]
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #8
[current, inference, term, potential, negative, probabilistic, state] [learning, framework, allows, goal, optimal, machine, set, approach] [synaptic, network, hidden, input, neural, spiking, plasticity, neuron, performance, wta, learn, inherent, weight, visual, synapse, slow, previous, postsynaptic, excitatory, brain, better, sensory] [distribution, log, parameter, sampling, model, stochastic, posterior, likelihood, prior, rewiring, bayesian, lesion, process, dwi, spike, pfp, auditory, functional, stimulus, approximation, temperature, spine, maass, generative, diffusion, written, drawn] [time, stationary, structural, probability, simple, maximum] [online, rate, denotes, presented, assume, assumption, rule, gradient, second, local] [vector, small, theoretical, positive, random]
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian SHI, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun WOO

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #11
[state, three, ground, represented] [prediction, learning, based, machine, average, propose, set] [convlstm, radar, precipitation, nowcasting, network, sequence, spatiotemporal, forecasting, lstm, convolutional, echo, input, hidden, dataset, optical, future, spatial, rainfall, weather, neural, better, training, frame, layer, hong, rover, challenging, build, region, image, long, deep, encoding, predict, kong, recurrent, complex, moving, output, truth, caused, memory, train, convlst] [model, cell, data, kernel, figure, test, extrapolation] [structure, time, number, setting, size, testing, algorithm] [problem, local, larger, rate, chosen, reasonable] [error, correlation, suitable]
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David K. Duvenaud, Dougal Maclaurin, Jorge Iparraguirre, Rafael Bombarell, Timothy Hirzel, Alan Aspuru-Guzik, Ryan P. Adams

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #10
[atom, depth, work, making, inference, sum] [learning, hash, predicting, machine, task, existing, chose, andreas, analogous] [neural, circular, feature, network, molecular, convolutional, performance, layer, training, activated, operation, deep, chemical, arxiv, preprint, bond, organic, molecule, solubility, single, architecture, input, activate, drug, dataset, represent, toxicity, encode, fps, natural, hidden, indexing, length, pooling, bottom, photovoltaic, richard, processing, predict] [predictive, standard, figure, computational, model, measured, david, log, computation, distinct] [graph, size, number, algorithm] [large, differentiable, top, apply, linear, optimized, function, local, limited, method] [random, vector, small, journal, design]
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
Been Kim, Julie A. Shah, Finale Doshi-Velez

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #13
[group, mgm, extraction, variable, distinguishing, associated, ing, wnd, formula, tgk, topic, dirichlet, list, three, logical, work, distinguishable, domain, directly, interesting, observation, unimportant, comprehensive, assist, cartoon, inference, distinguishes, graphical, determinantal] [set, approach, provide, learning, goal, hypothesis, based] [feature, interpretable, unsupervised, perform, dataset, consists, benchmark, indicates, future, face, report, human, described] [data, model, generative, latent, figure, distribution, process, variational, drawn, indicate, equation, parameter, mixture, point, exponential] [number, distinguish, exploration, probability, lower] [gap, simply] [clustering, selection, cluster, dimension, extracted, consider, high, small, random]
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #12
[state, beam, current, inference, search, represented] [learning, prediction, approach, conference, set, machine, propose, task, international] [sequence, training, neural, token, scheduled, recurrent, previous, image, trained, baseline, input, captioning, output, fed, speech, generated, better, network, recognition, parsing, performance, lstm, report, table, validation, decoding, train, language, curriculum, learn, acoustic, dictionary, mscoco, long, vision, frame, pattern, generating, truth, computer, predict, produce] [model, sampling, log, target, proposed, true, test, process, likelihood, dynamic, continuous, stochastic, figure, sample] [time, best, probability, number, expected, coin] [step, gradient, problem, linear, function, inverse, rate] [ieee, order, decay, well, error]
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #15
[represented, domain, document, canonical, consisting, topic, correct, directly] [instance, set, space, measure, precision, international, learning, tag, conference, respect, relationship, machine, flickr, datasets, dimensionality, framework] [embeddings, embedding, shared, feature, input, patent, neural, represent, representation, training, processing, validation, learn, matched] [kernel, latent, proposed, matching, target, source, distribution, difference, test, data, gaussian, cca, bilingual, kcca, wikipedia, figure, japanese, paired, hilbert, parameter, correspondence, tomoharu, jth, employ, measuring, estimated, bernhard, hiroshi, japan] [similarity, exp, probability, number] [method, gradient, assumes] [vector, ith, correlation, journal, consider]
Max-Margin Deep Generative Models
Chongxuan Li, Jun Zhu, Tianlin Shi, Bo Zhang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #14
[work, inference, markov, joint, belief, topic] [learning, prediction, improve, learned, address] [deep, recognition, cmmva, missing, input, discriminative, mmva, mnist, network, svhn, dgms, cva, convolutional, learn, training, performance, table, generating, neural, cnn, layer, fully, unsupervised, dgm, dataset, capability, ability, cnns, feature, generate, mmdgms, supervised, svms, supervision] [generative, variational, data, latent, model, stochastic, distribution, estimate, log, posterior, doubly, predictive, variance, expectation, compare, intractable, mmdgm, monte, carlo, prior, unbiased] [algorithm, bound, structure, competitive, upper] [subgradient, loss, hinge, problem, linear, function, regularization, initialize] [consider, random, vector, error, appendix]
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur, Ruslan R. Salakhutdinov, Nati Srebro

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #33
[balanced, equivalent, corresponding, initialization] [learning, respect, set, datasets, measure] [training, deep, network, hidden, neural, input, output, better, relu, unit, natural, mnist, performance, dropout, appropriate, single, activation, initialized, trained, weight, viewed] [invariant, test, figure, stochastic, computed, approximate, compared, compare] [edge, outgoing, choice, path, implicit, minimum, number, lemma] [rescaling, optimization, gradient, descent, unbalanced, sgd, update, regularization, function, incoming, geometry, steepest, vin, adagrad, objective, epoch, rule, method, vout, nathan, step, tied, applying, arg, stepsize, momentum, desirable, behnam] [norm, error, regularizer, consider, min, randomly]
Learning Continuous Control Policies by Stochastic Value Gradients
Nicolas Heess, Gregory Wayne, David Silver, Tim Lillicrap, Tom Erez, Yuval Tassa

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #31
[state, form, ratio] [policy, learning, control, environment, reinforcement, experience, reward, learned, bellman, respect, trajectory, real, svg, planning, framework, replay, capacity, based, database, impact, swimmer, machine, goal, provide, reacher, system, approach] [neural, tested, train, performance, learn, hidden, network, training, learns] [model, stochastic, deterministic, estimate, continuous, equation, generative, figure, derivative, likelihood, observed, backpropagation, applied, target, expectation, sampling, distribution, dynamic] [algorithm, time, action, simple, total] [gradient, function, compute, problem, step, advantage, apply, optimize, body, ball, solve, update] [noise, error, appendix, consider, random]
Preconditioned Spectral Descent for Deep Learning
David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #30
[accuracy, belief] [learning, set, approach, improve, cost, machine, propose] [deep, neural, training, performance, convolutional, boltzmann, layer, rbm, mnist, feedforward, hidden, rbms, dataset, reconstruction] [test, figure, model, stochastic, approximation, log, data, approximate, parameter, applied, proposed, estimated, normalized, standard, tuning, computational, demonstrate] [algorithm, adaptive, bound, supplemental, upper] [gradient, function, rmsprop, rmsspectral, objective, improved, descent, adagrad, sgd, ssd, preconditioned, optimization, preconditioner, adaspectral, linear, curvature, majorization, local, method, note, fast, convergence, lipschitz, geometry, euclidean, loss, second] [error, spectral, matrix, norm, restricted, order, consider, denote, svd, solution]
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
Ye Wang, David B. Dunson

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #29
[probabilistic, three, initial, corresponding, novel, variable, joint] [learning, manifold, curve, machine, based, set, dimensionality, allow, easily] [performance, missing, original, video, frame] [electrogp, process, gaussian, data, latent, figure, repulsive, distribution, model, posterior, observed, electrostatic, bayesian, coulomb, corp, compared, estimate, uncertainty, point, xtk, poor, multivariate, estimating, predictive, simulation, prior, ppxz, left, proposed, shading, conditional, volume, variety, assuming] [case, algorithm, spread, focus, structure, uniform, lemma] [denotes, problem, smooth, mapping, step, linear, function, presented, note, optimization, solve, coordinate, spiral] [dimensional, row, good, principal, well, including, denote, order]
The Population Posterior and Bayesian Modeling on Streams
James McInerney, Rajesh Ranganath, David Blei

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #28
[inference, dirichlet, probabilistic, topic, lda, form, current] [set, machine, international, conference, bayes, based, learning, science] [stream, natural, hidden, better, performance, traditional, modeling] [data, population, variational, posterior, distribution, bayesian, stochastic, latent, model, log, likelihood, svi, mixture, predictive, york, conjugate, conditionally, held, monte, approximation, carlo, conditional, approximate, figure, process, expectation, classical, true, family, geolife, parameter, divergence, coast, exponential, develop, ivory, svb, nonparametric] [number, algorithm, study, best, allocation, choosing, complete, setting] [function, gradient, local, objective, global, method, online, optimization, optimize, updating, analyze, compute, problem, update] [streaming, noisy, appendix]
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression
Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #27
[state, markov, progression, transition, glaucoma, soft, qij, expm, hard, conditioned, unif, discrete, ctmc, successive, observation, joint, nij, current, challenge, work, deterioration, rnfl, eigen, hmm, qii, degeneration, represents, directly, intermediate, key] [disease, learning, approach, average, based, set] [hidden, future, visualize, modeling, dataset, table, predict, performance, visualization, level, temporal] [model, data, functional, parameter, likelihood, posterior, distribution, computation, continuous, bayesian, observed, distinct, process] [time, algorithm, chain, structural, complete, total, complexity, expected, interval, probability, number, best] [computing, method, compute, rate, linear, regression, additional, problem] [matrix, estimation, error, leverage]
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin, Chunhua Shen, Ian Reid, Anton van den Hengel

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #22
[message, inference, potential, passing, extra, variable, dpf, node, factor, directly, conventional, crfs, marginal, formulate, joint, loopy, work, energy, denoted, unary, excluding] [learning, crf, based, structured, set, prediction, approach, propose, learned, goal, label] [voc, cnn, training, network, learn, deep, output, feature, cnns, convolutional, connected, image, semantic, segmentation, neural, train, neighboring, input, fully, table, pascal, performance, spatial, coco, evaluate, generate, pattern] [estimator, log, model, test, proposed, computed] [number, exp, pairwise, dependent, case, simple, strategy] [method, function, gradient, general, large, requires] [vector, estimation, consider, order, ieee, depends, result, dimension]
Unlocking neural population non-stationarities using hierarchical dynamics models
Mijung Park, Gergo Bohner, Jakob H. Macke

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #21
[trial, state, inference, propagation, group, term, message, hierarchical, joint] [experimental, set, approach, address] [neural, slow, activity, visual, neuron, spiking, training, single, described, multiplicative, scale, neuronal, sensory] [latent, model, population, plds, data, posterior, gaussian, covariance, laplace, log, approximate, distribution, process, bayesian, poisson, variability, cortical, estimated, prior, capture, modulator, stimulus, dynamical, modulatory, predictive, parameter, hyperparameters, simulated, compared, test, varying, figure] [stationary, time, algorithm, exp, structure, total, bound] [rate, compute, assume, fast, method, presented, note, derive] [well, statistical, rmse, analysis, matrix]
Inference for determinantal point processes without spectral knowledge
Rémi Bardenet, Michalis Titsias

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #54
[inference, determinantal, markov, marginal, corresponding, form, diversity] [learning, set, machine, evaluation, class, approach, example, measure, require, issue] [dataset, consists] [kernel, dpp, likelihood, point, variational, inducing, dpps, gaussian, diabetic, log, figure, continuous, process, prior, monte, carlo, sample, ideal, realization, determinant, fredholm, distribution, mcmc, investigate, det, pdf, correspond, parametrizing, model, posterior, draw, synthetic] [number, lower, case, bound, proposition, chain, upper, overdispersion, follow, maximum] [operator, note, large, base, iteration, assume, optimizing, main, optimized, squared, second] [spectral, consider, decomposition, matrix, positive, theorem, row]
Sample Complexity of Learning Mahalanobis Distance Metrics
Nakul Verma, Kristin Branson

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #55
[explicitly, quality, corresponding, work, theory] [metric, learning, class, intrinsic, weighting, generalization, distance, empirical, hypothesis, itml, provide, machine, lmnn, space, dist, prediction, conference, international, task, set, improve, showing, uninformative, risk, criterion, minimizes, framework, expect, hypoth, optimal, help, mahalanobis] [representation, performance, neural, dataset, feature, network, include, learn] [sample, data, distribution, prior, test, draw] [complexity, unknown, dependence, underlying, similarity, pair, bound, algorithm, probability, best, lower, number, size, notion] [regularization, optimization, loss, function, base, uci, regularized, linear, erm, margin, strong] [error, analysis, dimension, noise, good, theorem, random]
Matrix Manifold Optimization for Gaussian Mixtures
Reshad Hosseini, Suvrit Sra

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #56
[constraint, key, map, programming, separation, inferior] [manifold, riemannian, space, mvn, reformulated, geodesic, tangent, machine, learning, geodesically, gmms, set, transport, curve, based, metric, paper, average] [table, original, performance, neural, natural, single, performs] [mixture, gaussian, data, point, cholesky, log, gmm, speed, nonlinear, parameter, covariance, likelihood, exponential, figure, derivative, crucial] [time, algorithm, number, maximum] [optimization, problem, lbfgs, gradient, euclidean, convex, direction, descent, function, local, reformulation, convergence, convexity, usual, smooth, parallel, siam, note, wolfe, max, satisfying] [positive, product, matrix, theorem, journal, inner, estimation, consider, solution, version, introduction]
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie, Yingyu Liang, Le Song

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #58
[work, variable, key, list] [set, approach, machine, require, space, evaluation, empirical, international] [feature, scale, dataset, neural, processing, memory, training] [kernel, data, stochastic, true, sample, explicit, doubly, gaussian, latent, figure, fourier, estimated, covariance, nonlinear, computation, synthetic, difference, approximation, sliced] [algorithm, size, number, lemma, time, total, proof, case] [update, convergence, function, linear, top, problem, step, large, rate, gradient, method, eigenfunctions, regression, rule, generalized, operator, online, inverse] [random, analysis, component, pca, subspace, order, nystrom, principal, error, dimension, guarantee, result, small, eigenvalue, matrix, high, theoretical, solution, impractical, power, orthogonalization]
Parallel Correlation Clustering on Big Graphs
Xinghao Pan, Dimitris Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #66
[permutation, thread, ratio, remove] [cost, set, active, conference, control, international, wait, maximizing] [computer, processing] [approximation, log, data, median, difference] [number, algorithm, vertex, time, graph, annual, complete, acm, upper, bound, bounded, similarity, lemma, simple, knowledge, degree, adjacent, practice] [parallel, asynchronous, main, serial, loss, linear, speedup, objective, faster, rule, large, round, general] [clustering, bsp, cluster, correlation, kwikcluster, positive, synchronization, concurrency, random, bad, running, clustered, small, ieee, cdk, theoretical, symposium, denote, smaller, peeling, order, consistency, distributed, achieves, coordination, blocked, relative, francesco, analyzing, establish, runtime, min, indexed]
Fast Bidirectional Probability Estimation in Markov Models
Siddhartha Banerjee, Peter Lofgren

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #67
[markov, state, transition, node, sum, accuracy, refer, search] [set, threshold, based, terminal, return, approach, average] [length, bidirectional, forward, push, natural, perform, sequence, operation, generate] [estimate, source, target, distribution, monte, sample, estimating, carlo, equation, kernel, figure, unbiased] [algorithm, starting, chain, probability, time, heat, pagerank, graph, walk, stationary, number, reverse, hitting, social, concentration, neighborhood, proof, doeblin, choice, minimum] [max, local, note, large, iteration, peter, compute, method, choose, main] [random, power, estimation, running, theorem, truncated, analysis, relative, consider, small, residual, error, sampled, vector, desired, order]
Evaluating the statistical significance of biclusters
Jason D. Lee, Yuekai Sun, Jonathan E. Taylor

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #68
[submatrix, largest, biclustering, selected, search, inference, exact, sum, initialization, submatrices, localization, form, evaluating, polyhedral, type, work, scan, egrs, equivalent, jlas, selective, xej, tractable, clas, falling, performing, pivotal] [framework, set, average, computationally, hypothesis, based, control] [strength, perform, embedded, intelligent, output, valid, hidden, arxiv, detection, preprint, biclusters] [test, event, gaussian, statistic, distribution, asymptotic, correspond, computational, data, procedure, log, parameter] [greedy, algorithm, minimax, corollary, mij] [problem, max, large, second, amount, main, practical, linear] [selection, power, random, signal, theorem, result, statistical, constrained, expression, error, consider, truncation, matrix, high, gene, planted, snr, required]
Learning with Group Invariant Features: A Kernel Perspective.
Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #38
[group, map, decision, accuracy, work, equivalent, type, induced, explicitly, three, form, variable] [set, learning, risk, space, paper, empirical, class, averaged, subset, measure, distance, generalizes, label, reduction] [feature, training, invariance, speech, representation, unseen, learn, previous, supervised] [invariant, kernel, sample, sampling, rls, distribution, data, gaussian, test, drawn, model, integral, tidigits, hks, approximate, raw, cdf, classical, approximating, log, applied, rkhs] [number, expected, complexity, probability, cumulative] [function, core, linear, large, reduced, remark, assume] [random, theorem, error, consider, uniformly, well, statistical, sampled, dense, positive, order, approximates, result, introduced, cardinality, norm]
A Dual Augmented Block Minimization Framework for Learning with Limited Memory
Ian En-Hsu Yen, Shan-Wei Lin, Shou-De Lin

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #83
[term, form] [framework, learning, maintain, produced, set, approach, risk, empirical] [memory, original, sequence] [data, proposed, parameter, conjugate, model, point] [algorithm, time, number, size, simple, setting] [dual, minimization, convergence, convex, function, descent, method, problem, augmented, linear, online, proximal, global, solver, admm, objective, coordinate, smooth, loss, regularized, primal, erm, note, solve, storage, onlinemd, lagrangian, regression, subproblem, constant, requires, rate, convergent, fopt, general, limited, large, strong, denotes, adapt, separable, logistic, optimum, support, fast, compute, globally, update, mirror] [block, distributed, min, vector, theorem, random, solution, statistical, solving]
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #84
[width, work, atom, appearing, marginal, negative, argument] [set, active, require, polytope, machine, learning, mass, example, provide, submodular] [unit, weight] [point, standard, classical, conditional, figure, approximate] [algorithm, pairwise, bound, number, lower, case, feasible, proof, minimum, complexity, lemma] [linear, convergence, convex, rate, pyramidal, direction, gradient, optimization, pfw, global, step, function, correction, constant, gap, lmoa, general, method, minimization, oracle, mnp, directional, drop, fcfw, mathematical, call, swap, linearly, progress, afw, variant, dirw, possibility, base, iteration, note, cube, iterate, quantity] [condition, theorem, solution, appendix, min, analysis, consider, product, journal, sparse]
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
Zheng Qu, Peter Richtarik, Tong Zhang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #85
[directly, variable] [machine, learning, optimal, subset, risk, international, paper] [table, better, neural, processing] [sampling, stochastic, data, log, parameter, figure, standard, proposed, compare] [complexity, number, case, algorithm, bound, size, pair, analyzed, comparison, uniform] [dual, quartz, coordinate, primal, convex, serial, descent, method, gradient, spdc, maxi, asdca, accelerated, def, sdca, iteration, optimization, gap, ascent, function, note, satisfying, proximal, aji, large, larger, specialized, max, chosen, convergence, update, duality, parallel, main, gapg, denotes, linear] [result, random, arbitrary, condition, block, matrix, positive, solving, randomized]
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice
Tasuku Soma, Yuichi Yoshida

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #86
[quality, energy, ratio, lazy] [submodular, set, sensor, integer, threshold, return, diminishing, cost, lattice, naive, reduction, bicriteria, maximization, machine, optimal, subadditive, real, learning, water, generalization, pollution, based, experimental, submodularity, regard] [unit, natural, level, subject, output] [log, approximation, figure, approximate] [algorithm, greedy, cover, time, budget, monotone, property, allocation, degree, proof, number, worst, minimum, uniform, total, increase, placement, case, lemma, simple, observe, maximum] [function, problem, note, objective, decreasing, method, max, optimization, claim, main, assume, technique, large, curvature] [solution, running, guarantee, runtime, consider, version, relative, theorem, cmax]
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
Wei Sun, Zhaoran Wang, Han Liu, Guang Cheng

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #79
[graphical, initialization, work, reduces, corresponding, negative] [precision, optimal, set, learning, respect, machine] [previous] [model, log, estimator, covariance, true, normal, parameter, tuning, data, estimate, sample, population, distribution, estimating, proposed, gaussian] [algorithm, structure, achieve, graph, direct, prove, exists, existence] [rate, convergence, max, function, minimization, local, assume, minimizing, constant, method, remark] [tensor, matrix, estimation, statistical, sparse, theorem, tlasso, selection, norm, condition, consistency, glasso, frobenius, order, denote, consider, spectral, error, journal, alternating, result, desired, penalized, establish, product, lasso, kronecker, theoretical, tnr, tpr, annals, entry, nsf, row, establishes, positive, high, irrepresentability]
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Kamalika Chaudhuri, Sham M. Kakade, Praneeth Netrapalli, Sujay Sanghavi

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #80
[work, negative, directly, three, corresponding] [active, learning, label, optimal, class, provide, query, agnostic, unlabelled, binary, goal, example, respect, empirical, minimizes, space, multiple, set, close, essentially, realizable] [single, learn] [distribution, likelihood, model, log, sampling, sample, estimate, covariance, drawn, asymptotic, data, exponential, full, university] [algorithm, lower, maximum, lemma, number, bound, expected, probability, achieve, complexity, pac, observe] [linear, convergence, generalized, regression, fisher, rate, logistic, regularity, constant, function, general, step, problem, applies, large, round, interactively, main, assumption, second, minimizing] [matrix, error, order, estimation, theorem, condition, suppose, analysis, small, provided, random, min, consistency]
When are Kalman-Filter Restless Bandits Indexable?
Christopher R. Dance, Tomi Silander

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #81
[observation, corresponding, tracking, tree, associated, discrete, state, sum, equality, belief] [policy, optimal, mechanical, cost, supplementary, paper, control, threshold, conference] [word, scalar, natural, attention, relevant] [figure, kalman, continuous, expensive, point, data, variance] [proposition, restless, arm, bandit, christoffel, action, bius, whittle, prove, sturmian, number, orbit, majorisation, indexable, proof, write, ascending, indexability, palindrome, increasing, sorted, intuition, notation, case] [problem, function, main, claim, convex, linear, assumption, note, choose, general] [suppose, error, consider, matrix, result, solution, ieee, theorem]
Policy Gradient for Coherent Risk Measures
Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #82
[markov, formula, state, decision, programming, corresponding, variable, refer] [risk, coherent, policy, static, measure, approach, mdp, set, cvar, cost, space, envelope, class, supplementary, asset, paper, trajectory, learning, selecting, based, mdps, example, optimal, return, reinforcement] [style, trained] [dynamic, standard, sampling, log, estimate, stochastic, approximation, point, sample, expectation, numerical, conditional, estimator, explicit, variability, variance, extended, model] [algorithm, probability, case, proposition, proof, structure, time, exists, expected] [gradient, function, assumption, optimization, convex, problem, assume, large, max, saddle, involves, general, main, lagrangian, note, objective] [theorem, random, denote, consider, solution, suitable, studied, estimation]
A Universal Catalyst for First-Order Optimization
Hongzhou Lin, Julien Mairal, Zaid Harchaoui

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #87
[auxiliary, work, form, ratio, logarithmic] [machine, approach, optimal, learning, provide, criterion, deal, control] [dataset, sequence, table, generic] [point, stochastic, log, full, parameter, computational, classical, data] [algorithm, complexity, number, choice, proof, proposition] [convergence, convex, proximal, rate, accelerated, gradient, acceleration, method, objective, optimization, catalyst, incremental, linear, saga, descent, function, composite, sag, minimizing, global, duality, sdca, coordinate, inexact, iteration, constant, large, accelerate, minimization, iterates, problem, gap, variant, convexity, siam, strong, svrg, step, support, regularization, main, miso, quantity, applies, dual, nesterov, quadratic, presented, larger] [analysis, solving, consider, condition, appendix, theorem, journal, randomized, relative, theoretical, min]
Fast and Memory Optimal Low-Rank Matrix Approximation
Se-Young Yun, marc lelarge, Alexandre Proutiere

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #88
[term, store, remove] [set, optimal, space, supplementary, computationally] [memory, performance, extract, output, reduce] [approximation, observed, estimate, sampling, data, estimator, accurate, left, log, model, proposed, asymptotically, estimating] [algorithm, probability, lemma, time, bound, upper, number, case, remaining, bounded] [top, linear, step, requires, rate, compute, pass, note, constant, second, presented, chosen, denotes] [matrix, sla, singular, column, rank, streaming, error, random, entry, noise, span, running, theorem, required, analysis, orthonormal, denote, independent, arbitrary, spectral, high, approximates, result, sampled, signal, power, low, uniformly, small, design, projection, additive, pca, diagonal, revealed]
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy
Marylou Gabrie, Eric W. Tramel, Florent Krzakala

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #19
[energy, term, belief, theory, sum, accuracy, intelligence] [learning, set, machine, approach, based, propose] [training, rbm, emf, boltzmann, hidden, wij, visible, neural, deep, performance, rbms, pcd, caltech, mnist, fantasy, dataset, unsupervised, magnetization, evaluate, tap, silhouette, generated, unit, tested, train, weight] [expansion, deterministic, model, procedure, persistent, extended, test, approximation, contrastive, data, estimate, panel, stochastic] [algorithm, number, pseudo, adaptive, undirected] [free, function, epoch, presented, practical, inverse, iteration, note, logistic] [order, restricted, iterative, statistical, well, introduced]
The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions
Sebastian Bitzer, Stefan Kiebel

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #20
[decision, drift, reliability, evidence, making, coherence, motion, probabilistic, perceptual, rdm, ddm, accumulation, depc, start, reaction, neurophysiological, behaviour, three, const, accuracy, behavioural, michael, buildup, trial, considered, represented, variable, implicitly, aligned] [based, consistent, experimental] [brain, neural, relation, experiment, level, previous, represent] [model, stimulus, diffusion, data, likelihood, parameter, distribution, gaussian, estimate, difference, generative, measured, left, assumed, change] [time, bound, bounded, depend, simple, increasing] [variant, direction, large, call, linear, free, constant] [measurement, noise, random, alternative, low, small, depends, consider, high, analysis]
Online Learning with Gaussian Payoffs and Side Observations
Yifan Wu, András György, Csaba Szepesvari

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #98
[considered, logarithmic, observation] [set, learning, optimal, observable, environment, paper, conference, provide, machine, international, control, weak, existing] [weakly, previous] [log, asymptotic, variance, full, gaussian, stochastic, parameter, asymptotically] [lower, algorithm, action, bound, minimax, feedback, regret, payoff, monitoring, partial, learner, side, case, corollary, upper, expected, time, number, achieve, bandit, inf, play, receives, csaba, exploration, structure, probability, observes, perturbing, deriving, depend, alberta] [problem, constant, presented, note, assume, setup, online, general, large, round, max, remark, linear, generalized] [achieves, theorem, random, consider, version, good, depends, hardness, min, denote, independent, well, provided, small]
The Pareto Regret Frontier for Bandits
Tor Lattimore

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #97
[work, argument, factor] [respect, optimal, supplementary, cost, empirical, reward, machine, prediction, exist] [single, natural, neural, processing] [log, prior, stochastic, standard, estimate, sampling] [regret, algorithm, moss, arm, bound, bandit, action, time, frontier, lower, upper, ucb, learner, proof, setting, pareto, lemma, thompson, adversarial, uniform, productlog, expert, strategy, choosing, implies, minimax, case, chooses, number, best, simple, expected, agrawal, observe, remaining, bubeck, suffers] [constant, assume, unbalanced, chosen, max, step, problem, assumption, gap, worse, technical, main, arg, improved] [theorem, noise, special, small, result, analysis, vector, hold, exactly, min, arbitrary]
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care
Sorathan Chaturapruek, John C. Duchi, Christopher Ré

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #96
[cache] [forest, optimal, plot, machine, average, set, essentially, empirical] [performance, memory, sequence, long, dataset, hardware, perform] [stochastic, data, approximation, figure, asymptotic, covariance, process, standard, meaning, synthetic, higgs, continuous, asymptotically] [number, study, size, exists, increasing, cover] [asynchronous, assumption, gradient, linear, speedup, convergence, optimization, regression, locking, convex, processor, function, parallel, problem, coordinate, core, main, logistic, epoch, iteration, compute, constant, counter, objective, stepsize, optimality, asynchronously, asynchrony, batch, rate, method, satisfy, backoff, lipschitz, hessian, implementation, degradation, gap, general, descent] [theorem, vector, noise, fraction, solution, sparsity, random, matrix, solving, theoretical, result]
Fighting Bandits with a New Kind of Smoothness
Jacob D. Abernethy, Chansoo Lee, Ambuj Tewari

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #95
[work, decision, term, theory] [learning, optimal, framework, entropy, prediction, perturbation, algorithmic, machine, kind, set] [sequence, table] [log, distribution, estimate, divergence, stochastic, full, unbiased, equation, process, university, wide, proposed, lead] [bandit, regret, algorithm, hazard, bound, adversarial, setting, choice, upper, learner, probability, tsallis, lemma, minimax, follow, gbpa, mab, expected, easy, audibert, bounded, neu, inequality, proof, adaptive, dani, notion, fact, ftpl, eit, cumulative] [function, penalty, loss, online, rate, convex, optimization, leader, note, linear, smoothness, gradient, abernethy, problem, perturbed, smoothing, unbounded] [analysis, theorem, journal, estimation, consider, vector, design, random, differential, geometric, denote, noise]
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, Keith Forsythe

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #100
[inference, dirichlet, growth, gamma, motivated] [class, set, learning, stability, expect, lin, approach, wang, propose, framework] [sequence, processing] [data, distribution, parameter, mixture, asugs, sequential, process, likelihood, bayesian, conditional, model, gaussian, posterior, prior, sva, innovation, variational, predictive, asymptotic, synthetic, sample, approximation, hyperparameters, log, nonparametric, variance, sampling, proposed, true, test, covariance] [number, concentration, probability, algorithm, adaptive, time, choosing, greedy, calculate, choice] [online, def, iteration, update, step, rate, fast, updating, function, large, method, derive] [clustering, random, streaming, matrix, theorem, selection, appendix]
Fast Rates for Exp-concave Empirical Risk Minimization
Tomer Koren, Kfir Levy

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #99
[domain, term] [stability, learning, risk, average, respect, empirical, generalization, machine, based, notice, locally] [training, neural, processing] [stochastic, sample, standard, estimator, expectation, point, crucial] [bound, expected, lemma, lower, proof, case, algorithm, upper, complexity, inequality, bounded, uniform, fact, implies, choice, prove, write, best, property, regret] [loss, erm, online, regularized, rate, fast, squared, convex, function, convergence, excess, optimization, local, minimizer, linear, strong, shamir, assume, convexity, bousquet, minimization, step, elisseeff, second, newton, regularization, main, gradient, open, claim, arg, euclidean, problem, proved] [theorem, norm, analysis, result, random, hold, statistical, establishes, min, solution]
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
Rafael Frongillo, Mark D. Reid

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #95
[market, trade, maker, state, trading, position, agent, trader, dri, surplus, cash, sum, current, key, rafael, work] [risk, prediction, machine, cost, set, learning, optimal, measure, conference, utility, paper, framework, subset, minimize, discussed, provide] [future, connected, network, long] [exponential, model, distribution, aggregation] [algorithm, outcome, expected, total, pay, graph, case, equilibrium, proof] [convergence, convex, descent, function, coordinate, optimization, rate, linear, call, general, objective, entropic, constant, assume, round, apply] [theorem, analysis, appendix, result, randomized, subspace, consider, random, condition, relative, literature, min]
Optimal Rates for Random Fourier Features
Bharath Sriperumbudur, Zoltan Szabo

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 10:10 - 10:35 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #95
[quality, map, probabilistic, bounding, logarithmic, considered] [learning, machine, set, optimal, empirical, measure, based, paper, space, behavior, provide, approach] [feature, better, representation, gram, long, performance] [kernel, approximation, compact, rff, log, fourier, proposed, computational, characteristic, approximate, explicit, exponential, approximating, gaussian, applied, estimator, family, growing] [uniform, dependence, bound, diameter, corollary, proof, probability, bounded, study, inequality, achieve, fact, best] [convergence, function, rate, remark, denotes, note, fast, technical, claim, interest, linear, improved] [theorem, random, result, dimensional, uniformly, positive, theoretical, order, suppose, analysis, provided, matrix, journal, norm, grow, consistency]
Submodular Hamming Metrics
Jennifer A. Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 10:10 - 10:35 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #71
[document, diverse, factor, constraint, work, current, accuracy] [submodular, hamming, distance, set, metric, learning, subadditive, ajor, maximization, class, score, example, provide, machine, task, average, paper, showing, ubmodular, card] [better, image, word, table, natural, described, segmentation] [approximation, standard, normalized, model, true, applied] [algorithm, case, monotone, greedy, size, lemma, simple, combinatorial, number] [function, unconstrained, optimization, minimization, problem, note, established, curvature] [theorem, positive, hardness, consider, constrained, modular, homogeneous, polymatroid, nion, cardinality, guarantee, plit, clustering, heterogeneous, vector, exactly, random, cluster, result, solution, summarization, weighted]
Top-k Multiclass SVM
Maksim Lapin, Matthias Hein, Bernt Schiele

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 10:10 - 10:35 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #61
[accuracy, corresponding, largest, constraint, sum, directly, reduces] [based, datasets, set, learning, propose, machine, optimal, evaluation, generalization, class] [training, scene, image, scale, caltech, recognition] [standard, proposed, continuous, figure, conjugate] [lemma, bound, upper, ranking, case, proposition, algorithm, number, increase, pair] [loss, multiclass, svm, problem, hinge, convex, simplex, optimization, function, large, method, dual, knapsack, sun, main, general, note, check, indoor, max, linear, implementation, coordinate, compute, ayi, duality, support, objective, mit, constant, gap, wyi] [projection, vector, solution, version, cone, theorem, journal, error, well]
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen, Emmanuel Candes

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Tue Dec 8th 10:55 - 11:35 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #64
[initialization, search, theory, initial, represents] [learning, empirical, success, stability, paper, system, real, guess, set, approach, conference] [performance, flow] [poisson, numerical, mse, data, log, computational, figure, sample, gaussian, applied, proposed, model, estimate, procedure] [number, complexity, algorithm, time, size, best] [quadratic, gradient, nonconvex, problem, rate, method, linear, descent, constant, convex, iteration, converges, step, main, large, objective] [twf, truncated, solving, phase, relative, snr, spectral, matrix, retrieval, wirtinger, random, recovery, alternating, mle, theorem, noise, noiseless, statistical, ieee, error, signal, noisy, truncation, consider, illustrated, vector, leading, completion, suppose, paradigm, sparse]
Sampling from Probabilistic Submodular Models
Alkis Gotovos, Hamed Hassani, Andreas Krause

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Tue Dec 8th 10:55 - 11:35 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #70
[gibbs, state, form, markov, sampler, inference, canonical, marginal, supermodular, probabilistic, construct, partition, ground, mark, performing, facility, called, exact, congestion, transition, three, marginals] [submodular, set, space, class, machine, based, location, andreas, binary, sensor, distance] [] [distribution, coupling, variational, model, log, point, sampling, conditional, approximate, written, proposed, approximating] [mixing, chain, time, path, ising, element, number, bound, probability, edge, easy, stationary, tmix, pair, var, bounded, graph, upper, proof, algorithm, starting] [function, fast, general, method, note, assume, max, problem, pmin] [theorem, consider, matrix, random, denote, modular, guarantee, journal]
On some provably correct cases of variational inference for topic models
Pranjal Awasthi, Andrej Risteski

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #48
[topic, document, inference, anchor, work, dirichlet, proportion, initialization, context, current, largest, tem, appears, position, variable, appear, theory, dominating, ground] [learning, set, machine, conference, paper, heuristic, range, science, optimal] [word, multiplicative, dictionary, neural, long, weight] [variational, latent, distribution, model, log, dynamic, posterior, prior, family, likelihood] [number, algorithm, case, common, focus, study, prove, probability, setting, proof, clear] [large, constant, minimization, support, assume, global, initialize, local, convergence, update] [matrix, phase, consider, alternating, fraction, small, recover, analysis, sparse, popular, provable, dominant, journal, theoretical, high]
Extending Gossip Algorithms to Distributed Estimation of U-statistics
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #72
[node, observation, auxiliary, propagation, work, quality, associated] [average, set, supplementary, scatter, area] [network, connected, dataset, original, auc, performance, generated, memory, represent] [data, estimate, figure, point, sample, computation, standard, numerical, draw, difference] [graph, gossip, algorithm, decentralized, number, complete, degree, probability, size, access, edge, setting, time, focus, devavrat, upper, wine, action] [convergence, synchronous, local, asynchronous, averaging, rate, problem, communication, global, iteration, compute, gap, computing, update, swap, clock, converge, interest, step, faster, usual] [matrix, distributed, random, estimation, denote, error, relative, ieee, randomized, spectral, analysis, design]
The Self-Normalized Estimator for Counterfactual Learning
Adith Swaminathan, Thorsten Joachims

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #59
[conventional, called, type] [risk, learning, propensity, hypothesis, poem, empirical, counterfactual, control, rsn, crm, generalization, space, set, logged, blbf, yeast, evaluation, crf, tmc, system, john, hoverf, lyrl, policy, historical, hamming, analogous, principle, averaged, avoid, based, capacity, avoids, translated] [supervised, training, performance, table, scene, better, report, multiplicative] [estimator, variance, equation, sample, sampling, estimate, unbiased, data, monte, stochastic, carlo, test, true, expectation, distribution, university, observed, drawn] [bandit, feedback, probability, lower, algorithm, choice, case] [loss, problem, large, objective, improved, batch, optimization, note, erm, regularization] [random, positive, well, theorem, journal]
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
François-Xavier Briol, Chris Oates, Mark Girolami, Michael A. Osborne

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #57
[probabilistic, map, form, marginal, state, supported, inference] [space, paper, machine, approach, based, conference, international, optimal, polytope, select, provide, learning] [hull, performance] [numerical, posterior, quadrature, fwbq, model, bayesian, fwlsbq, uncertainty, fwls, approximation, estimate, kernel, integration, sbq, mmd, numerics, distribution, integral, full, carlo, computational, true, monte, prior, rkhs, minimise, university, point, classical, herding, sensible] [probability, algorithm, element, number, rigorous, selects, case] [function, convergence, convex, problem, method, converges, computing, rate, linear, note, faster, minimisation, xfw, chosen, objective, optimization] [error, design, theoretical, contraction, appendix, selection, theorem, journal, establishes, statistical, literature, solution]
A Market Framework for Eliciting Private Data
Bo Waggoner, Rafael Frongillo, Jacob D. Abernethy

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #56
[mechanism, market, participant, arket, form, trade, bet, associated, current, trader, add, sum, work, state, marginal, jacob, template, continual] [prediction, hypothesis, learning, set, space, framework, query, cost, provide, approach, conference, machine, goal] [natural] [data, kernel, log, exponential, family, distribution, test, conditional, point, true, sample, parameter, nonparametric, stochastic, divergence, gaussian, reproducing] [partial, price, total, number, underlying, acm, bound, time, choice, size] [function, loss, gradient, large, general, update, simply, logistic, amount, incentive, chosen] [privacy, private, noise, differential, noisy, small, idea, sensitivity, consider, design]
Online F-Measure Optimization
Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, Eyke Hüllermeier

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #54
[root, current, negative, probabilistic, considered, form] [ofo, optimal, threshold, learning, set, binary, prediction, based, label, datasets, maximization, measure, instance, science, provide, machine, close, approach, maximizing, formal] [performance, training, sequence, trained, table, validation] [data, stochastic, posterior, distribution, applied, true, estimate, observed, written, difference, estimated, university, test] [algorithm, learner, probability, case, proof, regret, setting, time] [online, optimization, convergence, optimizing, rate, assume, batch, round, note, problem, step, method, sense, gradient, main, converges, general, update, rule] [analysis, consistency, appendix, theorem, positive, result, statistical, depends, error, well, provided]
Fast Distributed k-Center Clustering with Outliers on Massive Data
Gustavo Malkomes, Matt J. Kusner, Wenlin Chen, Kilian Q. Weinberger, Benjamin Moseley

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #58
[work, assigned, outperforms, partitioned, search, intermediate, partition] [set, machine, distance, optimal, datasets, submodular, goal, maximization] [memory, perform, dataset, single, input, weight, output, performance] [point, sequential, data, approximation, figure, parameter, computation, compare] [algorithm, number, lemma, case, proof, best, proposition] [problem, objective, large, fast, computing, round, parallel, choose, compute, method, amount, greater] [distributed, clustering, mapreduce, utliers, cluster, consider, small, random, opt, center, reedy, solution, massive, well, achieves, denote, closest, dci, bxj, luster, bxi, theorem, power, streaming, studied, triangle, fundamental, covertype, mirzasoleiman, communicates, farthest]
Optimal Ridge Detection using Coverage Risk
Yen-Chi Chen, Christopher R. Genovese, Shirley Ho, Larry Wasserman

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #57
[three, straight] [risk, distance, optimal, select, curve, allows, measure, set, detect, propose, learning] [level, dataset, represent] [density, data, bandwidth, estimated, figure, parameter, kernel, estimator, estimating, point, panel, diagram, estimate, left, proposed, shift, asymptotic, nonparametric, university, tuning, simulation, log] [algorithm, lemma, smoothed, bounded, bound, prove, expected, structure] [qqq, qqqq, coverage, qqqqqq, qqqqq, smoothing, scms, rate, ridge, function, method, splitting, note, spiral, hausdorff, apply, qqqqqqq, cosmic, generalized, helix, qqqqqqqqqqqqqqqq, qqqqqqqqq, mellon, gradient, integrated, second, minimizing, local, qqqqqqqqqq, support, smooth, carnegie] [random, estimation, consistency, square, principal, row, selection, result, theorem, journal, annals, dimensional, error, department]
Differentially private subspace clustering
Yining Wang, Yu-Xiang Wang, Aarti Singh

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #51
[gibbs, sampler, mechanism, exact, work] [utility, based, distance, framework, agnostic, optimal, cost, machine, stability, learning, set, basis, perturbation, wasserstein, propose] [dataset, output, face, input, unit] [data, sampling, stochastic, sample, figure, model, distribution, proposed, exponential, parameter, log, user, gaussian, synthetic] [algorithm, lemma, setting, number, graph] [global, assume, presented, solver] [subspace, clustering, private, privacy, random, ssc, lrr, noise, analysis, matrix, theorem, tsc, cluster, uniformly, differential, sensitivity, sparse, denote, sulq, sampled, differentially, appendix, guarantee, pca, min, well, principal, provable, high, robust, dimension, consider, condition, version, ieee, orthonormal]
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
James R. Voss, Mikhail Belkin, Luis Rademacher

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #50
[work, form, complicated, recovers, contribution] [optimal, based, preprocessing, approach, require] [perform, unit, bias, higher, white] [source, gaussian, model, data, latent, estimate, observed, point, covariance, proposed, sample, compare, figure] [algorithm, mixing, access, unknown, case, setting, choice, designed] [iteration, gradient, free, step, convergence, practical, note, second, technical] [ica, matrix, demixing, noisy, signal, noise, recovery, sinr, pegi, independent, order, blind, component, recovered, recovering, column, additive, analysis, orthogonal, fourth, fastica, random, positive, cumulant, product, diagonal, recover, popular, consider, sinrk, jade, underdetermined, voss, arbitrary, decomposition, presence, solution, vector, sign, ieee, scaling, square, tensor, theorem]
Generalization in Adaptive Data Analysis and Holdout Reuse
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toni Pitassi, Omer Reingold, Aaron Roth

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #53
[accuracy, variable, selected, consisting, work] [set, generalization, learning, adaptively, example, machine, allows, approach, stability, based, range, datasets, query, address, multiple, individual, predictor, formal] [dataset, description, training, output, length, validation, input, answering, previous, answer, single] [data, distribution, approximate, estimate, log, standard, full, drawn, true, applied, sample, difference] [holdout, algorithm, adaptive, analyst, thresholdout, number, simple, bound, probability, esh, reusing, implies, cynthia, budget, access, prove, sparsevalidate, case, validate, setting, independently, depend] [chosen, general, problem, function, large] [differential, analysis, privacy, statistical, private, random, differentially, selection, theorem, noise, denote, randomized, moritz, result, independent, est]
Compressive spectral embedding: sidestepping the SVD
Dinesh Ramasamy, Upamanyu Madhow

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #52
[exact, corresponding, inference, work] [dimensionality, based, approach, set, reduction] [embedding, embeddings, reduce, network] [approximation, approximate, normalized, log, derived, proposed, computational, computation, data, median, drawn, numerical, figure] [algorithm, number, pairwise, partial, complexity, time, graph, similarity, starting, structure, probability, cascading] [compute, function, method, large, general, parallel, iteration, implementation, linear, euclidean] [matrix, percentile, spectral, polynomial, compressive, svd, random, singular, eigenvectors, clustering, order, adjacency, symmetric, denote, error, row, norm, vector, correlation, uniformly, small, nystrom, modularity, randomized, leading, randomly, journal, eigendecomposition, consider, commute, smaller, component, ecol]
Fast Classification Rates for High-dimensional Gaussian Generative Models
Tianyang Li, Adarsh Prasad, Pradeep K. Ravikumar

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #60
[term, theory, directly, corresponding, conditioned, lda] [bayes, risk, naive, response, approach, evaluation, learning, machine, optimal, based, springer, science, set, binary] [discriminative, feature, training, neural, performance] [log, generative, model, gaussian, conditional, covariance, figure, parameter, estimate, sample, proposed, equation, classical] [lemma, number, proof, bounded, independence, probability, simple, case, lower, bound, structural] [linear, discriminant, logistic, rate, regression, excess, note, regularized, assume, fast, constant, covariates, problem, slower, intercept, bickel, assumption, liu, quantity] [error, theorem, analysis, statistical, denote, sparse, high, annals, sparsity, random, result, journal, consider, matrix, estimation, eigenvalue, restricted, shrunken, dimensional]
Orthogonal NMF through Subspace Exploration
Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros G. Dimakis

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #59
[factor, accuracy, jointly, work, novel, candidate] [real, optimal, datasets, set, conference, international, existing, machine, multiple, maximization, close, learning] [input, processing, neural, performance, higher, output, image, single] [approximation, data, target, variance, parameter, approximate, synthetic] [algorithm, time, number, best, total, complexity] [problem, note, second, objective, compute, arg, solve, main, support, arbitrarily, constant] [nonnegative, matrix, onmf, nnpca, orthogonal, rank, solution, dimension, nmf, factorization, relative, error, low, desired, additive, analysis, theorem, solving, nnspan, onmfs, row, appendix, tsvd, eptas, despite, achieves, polynomial, extracted, sketch, clustering, orthogonality, pca, randomly, running, captured, truncated, denote, component, provable]
Bandits with Unobserved Confounders: A Causal Approach
Elias Bareinboim, Andrew Forney, Judea Pearl

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #60
[associated, variable, appear, appears, superior, represents] [machine, experimental, based, optimal, learning, set, reward, evaluation, counterfactual] [natural, table, experiment, better, traditional, perform, drug] [sampling, distribution, standard, data, model, figure, lead, sequential, computed, assuming, parameterization, stochastic, university] [bandit, unobserved, arm, causal, payout, observational, thompson, casino, play, confounders, regret, choice, mab, predilection, strategy, player, maximize, algorithm, action, best, mabuc, choosing, time, structural, slot, treatment, gambler, decided, coin, knowledge, ett, rdc, win, winning, payouts, prescribing] [problem, note, oracle, general, support, function, rate] [random, literature, randomized, consider, idea]
Sample Complexity Bounds for Iterative Stochastic Policy Optimization
Marin Kobilarov

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #61
[state, decision, constraint, search, probabilistic, initial, theory, work, updated, directly, considered, ratio, position] [control, policy, cost, system, empirical, learning, goal, approach, vehicle, robustness, collision, robot, environment, based, optimal, trajectory, navigation, quadrotor, class, controller, uncertain, obstacle, renyii] [future, performance, previous] [stochastic, model, computed, nonlinear, employ, density, standard, figure, estimate, adaptation, sample, divergence, likelihood, simulated, proposed] [expected, bound, probability, pac, feedback, simple, bounded, time] [optimization, iteration, compute, denotes, function, general, global, problem, providing, minimizing] [robust, iterative, consider, randomized, random, analysis, sampled, design, statistical, matrix, journal, vector, desired]
Online Prediction at the Limit of Zero Temperature
Mark Herbster, Stephen Pasteris, Shaona Ghosh

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #58
[tree, mark, marginal] [label, example, prediction, set, learning, respect, optimal, approach, conference, provide, machine, predicts, predicting] [sequence, predict, labeling, labeled, regular, single] [figure, log, model, target, source, temperature, computation] [graph, bound, algorithm, mistake, vertex, strategy, path, cover, connectivity, directed, number, diameter, edge, ising, structure, minimum, iff, proposition, upper, probability, exists, maximum, limit, subgraph, time, player, nature, implies, incurred, complexity, adversary, cutsize, learner, prove] [online, computing, step] [theorem, cluster, appendix, analysis, denote, random, smaller, cardinality]
Lifted Symmetry Detection and Breaking for MAP Inference
Timothy Kopp, Parag Singla, Henry Kautz

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #59
[term, symmetry, theory, equivalent, relational, evidence, lifted, ground, inference, partition, breaking, predicate, permutation, map, group, work, ptp, sbp, maxsat, rockit, domain, preserving, advisor, context, appearing, exact, markov, mws, shatter, formulation, node, pigeon, isomorphism, break, argument, php, list, search, marginal, tequiv, sbps, literal, probabilistic, corresponding, soft, constraint, van, propositional, hard, formula] [set, based, respect, vanilla, optimal, instance, hole, space] [weight, table, original] [model] [number, ordering, graph, time, size, case, best, algorithm] [problem, max, constant, linear, satisfy, solver] [weighted, running, denote, order, special, well, consider, solving]
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen, Nan Ding, Lawrence Carin

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #64
[theory, corresponding, exact, belief] [optimal, real, average, learning, measure, based, weak] [bias, sequence, backward] [stochastic, integrator, sgld, sghmc, mse, invariant, numerical, euler, test, asymptotic, posterior, langevin, approximation, sample, data, equation, model, proposed, figure, diffusion, synthetic, ehl, true, poisson, correspond, mcmc, xlh, asymptotically, bayesian, approximate, compared, hamiltonian] [size, bounded, time, kolmogorov, stationary] [step, convergence, splitting, gradient, decreasing, general, rate, operator, function, plh, assumption, minibatch, local, faster, scheme, smooth, assume, large, remark] [theorem, symmetric, appendix, theoretical, error, analysis, denote]
An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching
Xiao Li, Kannan Ramchandran

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #65
[node, associated, hypergraph, observation, work, theory] [learning, query, framework, set, active, ensemble, based, respect, real, success, existing, example, membership, propose] [detection, pattern, performance, dataset, computer, learn, hidden, generator, decoding] [left, log, computational, fourier, introduce] [graph, probability, algorithm, complexity, number, size, time, hypergraphs, simple, offset, unknown, learngraph, pair, edge, supplemental] [scheme, function, problem, large, step, apply, chosen, choose, communication, linear, derive, modern] [sketching, polynomial, random, sparse, cut, subsampling, bin, sparsity, matrix, bipartite, runtime, noise, presence, small, boolean, consider, vector, design, well, sgn, peeling, exactly]
Basis refinement strategies for linear value function approximation in MDPs
Gheorghe Comanici, Doina Precup, Prakash Panangaden

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #62
[state, equivalence, markov, corresponding, construction, map, hard, denoted, partition, decision, associated] [bisimulation, basis, set, metric, based, space, provide, policy, framework, respect, reinforcement, reward, optimal, subset, prototype, mdp, approach, bellman, determine, existing, mdps, consistent, distance, measure, algorithmic, kantorovich, paper, machine, easily] [feature, relation, sequence, representation, represent, concept] [approximation, model, point, aggregation, process, approximate] [case, probability, property, action, element, pair, strategy, algorithm] [function, linear, operator, problem, note, general, convergence, assume, strong, main, local, constant, computing, large] [special, krylov, result, error, theoretical, iterative, denote, contraction]
Probabilistic Variational Bounds for Graphical Models
Qiang Liu, John W. Fisher III, Alexander T. Ihler

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #63
[trw, ztrw, probabilistic, partition, bernstein, graphical, markov, lbp, ibound, tree, inference, reweighted, loopy, accuracy, gogate, belief, construct, tighter, called, wmb, work, wainwright, directly, gbp, propagation, corresponding, yuan, form, dechter, term, induced] [based, empirical, provide, set, propose, allows] [proposal, strength] [variational, sampling, log, figure, monte, carlo, sample, variance, estimator, distribution, bayesian, accurate, deterministic, model, estimate, true, exponential] [bound, upper, lower, probability, size, pairwise, simple, algorithm, interval, easy, inequality, number, concentration, bounded, calculate, adaptive, complexity] [convex, method, large, optimization, function, note, strong, general, worse] [good, random, order, weighted, small, relative, result]
Discrete Rényi Classifiers
Meisam Razaviyayn, Farzan Farnia, David Tse

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #66
[decision, marginals, map, joint, discrete, mutual, variable, marginal, group, probabilistic, work, tree] [approach, set, nyi, optimal, based, hgr, machine, principle, computationally, separability, cpairwise, class, notice, learning, subset, dcc, average, chebyshev, argmax, binary, surrogate, entropy, pxi, naive] [feature, training, neural] [distribution, data, proposed, target, estimated, estimating, estimate, point, categorical] [probability, minimum, algorithm, case, worst, pairwise, minimax, maximum, proof, number, maximal] [problem, rule, rate, optimization, objective, method, satisfying, large, larger, max, linear, function, svm, minimizing, regression] [order, correlation, low, vector, randomized, selection, random, solving, min, robust, theorem, condition, error, argmin, consider, solution, statistical, result, lasso, idea]
GAP Safe screening rules for sparse multi-task and multi-class models
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #67
[multinomial, formulation, associated, work, called] [set, active, machine, learning, allows, sphere, optimal, framework, binary, easily, supplementary] [feature, previous, brain, relevant, dataset, sequence, consists] [dynamic, computation, sequential, figure, data, introduce, point, corresponds, log] [number, time, case, algorithm, proposition, radius, strategy] [safe, gap, regression, dual, rule, logistic, function, problem, regularized, convex, remark, regularization, coordinate, converging, primal, pbq, duality, linear, pzq, descent, solver, method, strong, generalized, support, pbk, ball, note, arg, simply, general, optimization, pyi, slores, large] [screening, lasso, matrix, norm, solution, dimensional, sparse, introduced, high, imaging, center, well, theorem, fraction, consider, small]
Particle Gibbs for Infinite Hidden Markov Models
Nilesh Tripuraneni, Shixiang Gu, Hong Ge, Zoubin Ghahramani

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #24
[sampler, beam, ihmm, transition, state, particle, gibbs, emission, sticky, markov, ancestor, inference, hmm, resample, construction, fox, pgas, joint, teh, extra, dirichlet, hdp, evidenced, jll, slice, initial, hierarchical, variable] [improve, machine, trajectory, empirical, mass] [hidden, proposal, performance, better, single, length] [latent, sampling, figure, sample, data, prior, model, synthetic, applied, distribution, standard, proposed, resampling, likelihood, predictive, normal, process, cambridge, mcmc, university, observed, bayesian, channel] [number, mixing, algorithm, time, probability, complexity, correlated, comparing] [step, convergence, note, iteration, converges, compute, problem] [matrix, consider, introduction, journal, good, deviation]
Sparse Local Embeddings for Extreme Multi-label Classification
Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #25
[accuracy, tree, preserving, outperforms] [label, prediction, set, learning, based, fastxml, nearest, ensemble, xml, space, distance, multiple] [embedding, embeddings, training, scale, learn, single, table, trained, predict] [data, figure, test, accurate, point, compared, approximation, wikipedia, model] [number, algorithm, time, learner, size, achieve] [sleec, large, wikilshtc, method, leml, local, problem, linear, loss, denotes, note, objective, optimizing, optimization, function] [matrix, error, knn, well, clustering, cluster, small, extreme, leading, svd, rank, min, vector, tail, including, dimensional, scaling, dimension, theorem, eigenvalue, popular, regressors, low]
Deep Visual Analogy-Making
Scott E. Reed, Yi Zhang, Yuting Zhang, Honglak Lee

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Wed Dec 9th 10:55 - 11:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #1
[work, factor, making, developed] [learning, query, manifold, set, prediction, space, propose, multiple, addition, task, transfer, learned] [analogy, image, deep, visual, disentangling, identity, ldeep, ladd, disentangled, pose, perform, encoder, rotation, training, lmul, embedding, decoder, car, animation, transformation, trained, learn, network, ldis, table, multiplicative, convolutional, pixel, performance, generating, neural, character, generate, video, discriminative, analogical, train, generated, auc, word, attribute, share, hidden] [model, figure, proposed, test] [variation, number, traverse, case, game, comparison, repeated] [function, objective, solve, requires, problem] [vector, tensor, scaling, error, additive]
Adaptive Online Learning
Dylan J. Foster, Alexander Rakhlin, Karthik Sridharan

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 10:10 - 10:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #100
[tree, form, theory, depth, admissible, probabilistic, corresponding] [learning, set, class, example, framework, conference, prediction, machine, respect, quantile, empirical, control, space, hypothesis] [sequence, supervised] [log, model, sequential, process, distribution, exponential, prior, university] [adaptive, bound, achievable, regret, lemma, complexity, inf, corollary, offset, algorithm, karthik, alexander, minimax, reln, uniform, strategy, expert, supremum, banach, inequality, size, predictable, bounded, proposition, achievability, concentration, exp, depend, upper, rakhlin, relr, exists, best, ambuj, expected] [online, rate, loss, rademacher, linear, function, oracle, optimization, problem, general, obtaining, large, chosen] [consider, selection, statistical, random, depends, result, relaxation, tail, norm, version, order, including]
Accelerated Mirror Descent in Continuous and Discrete Time
Walid Krichene, Alexandre Bayen, Peter L. Bartlett

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[abstract]

Spotlight: Wed Dec 9th 10:10 - 10:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #96
[argument, discrete, theory, equivalent, variable, interpreted, initial] [system, supplementary, entropy, analogous, distance, set, trajectory] [original, generating] [family, proposed, equation, parameter, speed, stochastic, divergence, written, numerical, difference, figure, dynamical] [algorithm, prove, existence, lemma, simple, size, case, time, study] [descent, mirror, ode, accelerated, function, method, convex, lyapunov, gradient, optimization, convergence, interpretation, discretization, restart, dual, rate, arg, step, converges, proved, general, lipschitz, scheme, converge, euclidean, unconstrained, uniqueness, combination, combining, mathematical, entropic, primal, problem, update, convexity, berkeley, remains, discretizing] [solution, consider, design, bregman, differential, theorem, ordinary, analysis, expression, uniformly, suppose, constrained, norm]
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
Ofer Dekel, Ronen Eldan, Tomer Koren

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 10:10 - 10:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #98
[decision, current, maker, theory, work, key] [set, learning, average, respect, optimal, perturbation, conference] [sequence, unit, bias, previous] [point, difference, estimate, variance, estimator, unbiased, parameter, drawn, log] [regret, algorithm, bandit, lemma, bound, lower, prove, kxt, proof, notation, exists, annual, bubeck, diameter, chooses, feedback, best, bounded, uniform] [convex, loss, gradient, barrier, optimization, averaging, dual, tewari, local, saha, online, smooth, problem, body, pretend, euclidean, technical, function, main, kxs, assume, rate, lipschitz, arg, flaxman, dikin, rft, kzkx, abernethy, round, chosen, note, constant, general] [norm, analysis, theorem, result, random, min, uniformly, vector]
Information-theoretic lower bounds for convex optimization with erroneous oracles
Yaron Singer, Jan Vondrak

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 10:10 - 10:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #97
[construct, ratio, work, factor, associated, sum] [query, maximization, optimal, polytope, return, maximizing, conference, exponentially, learning, recall, paper] [better, multiplicative, contrast, unit, june] [point, approximation, true, stochastic, model] [algorithm, probability, case, number, access, choice, proof, fact, distinguish, bandit, lower, bound, follow, achieve, implies, complexity] [function, convex, oracle, concave, optimization, erroneous, absolute, note, problem, constant, chernoff, subexponential, minimization, claim, gradient, xij, negatively, optimum, descent, returned, chosen, objective, minimizing, linear, method, belloni, greater] [random, relative, consider, theorem, error, additive, small, result, solution, hardness, noise, noisy, trivial, version]
Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents
Mithun Chakraborty, Sanmay Das

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 10:10 - 10:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #71
[market, agent, opinion, scoring, belief, logarithmic, trading, pool, subjective, strictly, msr, current, trade, lmsr, myopic, probabilistic, form, aversion, equivalent, wealth, updated, maker, work, aggregate, pennock, instantaneous, equivalence, inference, mechanism, state, trader, security, logop, effectively, domain, linop] [utility, risk, prediction, cost, proper, tolerance, measure, learning, supplementary, machine] [pooling, weight, sequence, valid, baseline, understanding, report] [aggregation, bayesian, parameter, event, family, log, continuous, distribution] [price, probability, equilibrium, budget, lemma, action, bounded, setting] [function, rule, linear, loss, absolute, constant, general, note, convex, decreasing] [theorem, vector, private, chen, principal]
A Gaussian Process Model of Quasar Spectral Energy Distributions
Andrew Miller, Albert Wu, Jeff Regier, Jon McAuliffe, Dustin Lang, Mr. Prabhat, David Schlegel, Ryan P. Adams

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #16
[energy, inference, directly, split, three, corresponding, observation, marginal, work, map] [basis, physical, range, multiple, set, supplementary, spec] [frame, rest, training, network, future, neural, modeling, described] [photometric, model, sed, redshift, posterior, quasar, spectroscopic, distribution, latent, figure, measured, seds, data, sample, spectroscopically, david, test, prior, estimate, observed, light, astronomical, xdqsoz, survey, left, accurate, source, broadband, full, patrick, normalized, mcmc, university, astrophysical, photometrically, sloan, likelihood, generative, mixture, scott, sampling, sky, digital] [band, probability, chain, upper, number] [method, note, function, compute, large, parallel] [spectral, random, error]
Neural Adaptive Sequential Monte Carlo
Shixiang Gu, Zoubin Ghahramani, Richard E. Turner

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #17
[particle, inference, marginal, state, work, developed, current] [learning, conference, international, supplementary, set, effective, system, approach, class, improve, based] [proposal, neural, recurrent, network, hidden, sequence, complex, rnn, performance, evaluate, previous] [smc, distribution, posterior, model, approximate, sample, prior, sequential, monte, carlo, log, variational, latent, nasmc, upf, approximation, ekpf, sampling, true, stochastic, gaussian, likelihood, variance, parameter, bootstrap, divergence, standard, adapting, inclusive, music, university, generative, unscented, target, pmmh, kalman, bayesian, proposed, resampling, nonlinear] [adaptive, algorithm, time, number, size, common, comparison] [method, gradient, iteration, additional, general] [including]
Convolutional spike-triggered covariance analysis for neural subunit models
Anqi Wu, Il Memming Park, Jonathan W. Pillow

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #18
[form, accuracy, biological, three] [multiple, response, provide, cost, average, set, hyper] [neural, performance, pooling, convolutional, visual, shifted, output, complex, processing, unit, sensory, scale, stage, receptive, single, jonathan, neuron, convolution, spatial] [subunit, model, nonlinearity, mele, data, gqm, estimator, stimulus, covariance, nonlinear, smoothmele, poisson, spike, computational, full, cmele, applied, kkh, dft, stc, sigmoid, exponential, macaque, proposed, speed, gaussian, true, wmi, cell, fourier, figure, frequency, cxi, prior, accurate] [time, size, expected, number, exp, simple] [quadratic, linear, assumption, note, generalized, smoothing] [matrix, mle, decomposition, small, analysis, journal, vector, theoretical, running, denote, well]
Rectified Factor Networks
Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner, Sepp Hochreiter

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #19
[factor, explain, scaled] [learning, datasets, based] [rfn, rfns, deep, input, reconstruction, code, hidden, coding, rare, pretraining, unsupervised, mnist, drug, neural, network, biclusters, representation, boltzmann, dropout, dataset] [posterior, data, model, covariance, gaussian, generative, variational, background, test, approximation, prior, nonlinear, point, log, panel] [algorithm, number, lowest, structure] [gradient, method, projected, quadratic, regularization, newton, step, objective, generalized, optimization, convergence, large, rate, problem, minimization, reduced, decrease, second, convex, update, requires] [sparse, error, projection, small, analysis, noise, matrix, expression, random, theorem, alternating, solution, gene, norm, restricted]
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter, Jost Springenberg, Joschka Boedecker, Martin Riedmiller

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #20
[state, transition, inference, work, corresponding, inferred, formulation, markov, directly] [control, space, system, trajectory, learning, optimal, locally, real, lat, pendulum, planar, soc, inverted, set, based, htrans, approach, task, cost, goal, rnz, embed, prediction, history] [representation, image, deep, network, neural, visual, performed, training, learn, reconstruction, encoding, transformation, hdec, valid, trained, hidden, plane] [latent, model, generative, approximate, dynamical, variational, stochastic, distribution, equation, figure, observed, data, raw, nonlinear, applied, log, true, dynamic, sample, gaussian] [starting, arm, action] [linear, problem, function, additional, local, loss, assume, variant] [well, consider]
Bayesian dark knowledge
Anoop Korattikara Balan, Vivek Rathod, Kevin P. Murphy, Max Welling

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #21
[toy, pbp, inference, store, work, scoring, probabilistic] [learning, approach, set, precision, average, based, hyper] [student, neural, table, training, train, network, better, deep, hidden, single, dataset, softmax, reduce, mlp, layer, mnist, trained, performance, report, dropout] [sgld, teacher, log, predictive, posterior, distilled, model, stochastic, data, bayesian, test, monte, carlo, approximation, distribution, approximate, prior, standard, estimate, bbb, figure, mcmc, likelihood, sample, gaussian, hmc, density, uncertainty, proposed, langevin, variational, boston, accurate, housing] [size, number, algorithm, probability, lower, simple] [sgd, method, gradient, rate, online, minibatch, regression, compute, problem, max, note, batch] [consider, noise, order, sampled, error]
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
Rie Johnson, Tong Zhang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #11
[three, context, outperform, document] [learning, task, effective, set, learned, framework, entire, label] [region, word, cnn, unlabeled, text, embedding, supervised, convolution, layer, trained, previous, input, embeddings, neural, training, sentiment, labeled, table, bow, feature, categorization, cnns, tested, learn, convolutional, elec, imdb, performance, learns, output, vocabulary, predict, produce, relevant, fun, representation, absence, language, tsvm, yoshua, network] [data, model, target, test, figure, predictive, compare] [best, size, comparison, exists] [additional, function, large, note, svm, linear, base, top, tong, loss] [vector, small, error, row, consider]
Where are they looking?
Adria Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #2
[grid, ground, map, position, work] [location, approach, average, learning, task, prediction, multiple, set, predicting, example, propose, evaluation] [gaze, saliency, people, head, person, image, pathway, network, predict, shifted, object, dataset, convolutional, conv, human, truth, evaluate, deep, auc, salient, output, scene, input, eye, train, performance, learns, attention, inside, single, picture, mask, predicted, computer, tend, ability, layer, recognition, gazefollowing, architecture, annotated, vision, spatial, visual, visualize, training] [model, test, figure, full, estimate, introduce, angular] [follow, size, social, action, interact] [problem, direction, method, large] [positive, product, order]
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong, Hyeonwoo Noh, Bohyung Han

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #17
[map, bounding, associated, box, accuracy, reduces, search, work, effectively] [learning, class, based, weak, label, set, binary, exploiting, employed, propose, space, existing] [segmentation, network, training, semantic, bridging, image, activation, annotated, convolutional, pascal, architecture, deep, input, performance, voc, trained, train, weakly, supervised, fcls, decoupled, object, fspat, validation, learn, supervision, neural, decouplednet, table, dataset, pooling, fully, reduce, relevant, layer, output, wssl, dnn, challenging, involve, foreground] [proposed, data, figure, full, standard, employ, compared] [number, algorithm] [strong, note, large, loss, denotes] [small, heterogeneous, iterative, well]
Regret-Based Pruning in Extensive-Form Games
Noam Brown, Tuomas Sandholm

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #68
[tree, michael, factor, reach, current, represented, negative, bet] [set, response, average, counterfactual, conference, improvement, history, allows, paper, approach, reaching, belonging] [pruning, prune, sequence, magnitude, described, single, pruned, performance] [speed, neil] [player, action, regret, strategy, cfr, game, best, rbp, algorithm, nash, calculate, partial, probability, played, play, equilibrium, bound, imperfect, tuomas, traversal, depend, number, size, leduc, path, increasing, traverse, payoff, upper, traversing, poker, playing, traversed] [iteration, convergence, large, variant, linear, minimization, round, averaging, larger] [positive, order, consider, leading, suppose, theorem, version, solving]
Learning spatiotemporal trajectories from manifold-valued longitudinal data
Jean-Baptiste SCHIRATTI, Stéphanie ALLASSONNIERE, Olivier Colliot, Stanley DURRLEMAN

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #31
[progression, timing, factor, denoted] [disease, individual, longitudinal, average, riemannian, manifold, geodesic, age, curve, trajectory, metric, experimental, tangent, allows, velocity, writes, saem, praxis, neuropsychological, propose, space] [spatiotemporal, temporal, memory, language, cognitive, consists, stage, hidden] [model, data, point, stochastic, figure, approximation, distribution, estimated, estimate, variability, multivariate, normalized, variance, simulation, parameter, mcmc, likelihood, onset, family, correspond] [algorithm, time, fact, concentration, complete, maximum, follow, number, ordering] [parallel, acceleration, step, assume, denotes, logistic, convergence, derive] [vector, random, statistical, independent, component, estimation, product, relative, analysis, version, measurement]
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #30
[term, accuracy, lda, three, form, selected, conventional, progression] [disease, set, learning, space, learned, class, acquired, adni, area, propose] [training, discriminative, brain, unlabeled, labeled, feature, xtst, build, baseline, experiment, incorporate, neuroimaging, image, better] [data, proposed, model, sample, compared, synthetic, introduce] [testing, algorithm, number] [method, discriminant, mapping, linear, function, update, geometry, optimization, regression, regularization, problem, ensure] [robust, matrix, diagnosis, noise, noisy, analysis, norm, ytr, mci, neurodegenerative, mri, rlda, singular, ieee, sparse, xtr, simultaneously, ppmi, good, ntr, small, great, iteratively, including, solving, initiative, solution]
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models
Michael C. Hughes, William T. Stephenson, Erik Sudderth

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #29
[state, inference, dirichlet, num, merge, sticky, markov, memoized, michael, birth, hierarchical, create, sampler, hdp, transition, motion, delete, lentropy, elapsed, factor, topic, lap, redundant, speaker, assigned, candidate, marginal, erik, current, reach, beta, remove] [hamming, entropy, distance, existing, require, multiple, set] [sequence, hidden, processing, neural, proposal, human, better, train] [variational, data, log, model, stochastic, bayesian, process, parameter, true, prior, figure, nonparametric] [bound, time, algorithm, lower, probability, number, adaptive, simple] [local, objective, global, update, pass, batch, step, method, top] [vector, matrix]
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
Scott Linderman, Matthew Johnson, Ryan P. Adams

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #28
[multinomial, inference, gibbs, topic, auxiliary, augmentation, state, lds, sampler, construction, dirichlet, joint, binomial, lnm, news, lda, variable, discrete, ctm, dna] [machine, system, learning, conference, paper, approach, international, based, elliptical, class] [modeling, text, training, performance, neural, dataset, fully, spatiotemporal] [gaussian, model, latent, sampling, distribution, dynamical, bayesian, figure, conditional, likelihood, david, data, continuous, normal, density, prior, variational, develop, standard, predictive, conjugate, applied, process, introduce, mcmc, categorical, observed] [correlated, probability, algorithm, structure, time, number] [logistic, linear, top, applying, limited, scheme] [vector, correlation, block, random]
Infinite Factorial Dynamical Model
Isabel Valera, Francisco Ruiz, Lennart Svensson, Fernando Perez-Cruz

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #35
[markov, xtm, particle, inference, ifdm, state, pgas, ffbs, stm, ifhmm, inferred, ancestor, tracking, position, separation, factorial, multitarget, cocktail, bnp, inactive, consumption, observation, gibbs, multiuser, disaggregation, transition, device, propagation, initial, current, transmitted, considered, radio, reference] [approach, active, set, based, space, sensor, system, individual, average] [hidden, memory, place, table, consists, performance, evaluate] [model, target, figure, source, sampling, sample, proposed, prior, gaussian, data, dynamical, bayesian, dynamic, true, monte, carlo, nonparametric, likelihood, channel, applied, distribution] [algorithm, number, time, chain, complexity] [assume, general, linear, step] [power, signal, consider, noise, order, party, distributed, ica]
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
Amir Dezfouli, Edwin V. Bonilla, Edwin V. Bonilla

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #33
[inference, scalable, term, joint, corresponding, work, negative] [multiple, learning, automated, datasets, approach, framework, set, goal, machine] [dataset, output, performance, training, input, scale, original, mnist] [gaussian, variational, log, process, latent, likelihood, posterior, approximate, inducing, equation, lell, full, data, figure, model, approximation, mixture, covariance, prior, warped, gps, univariate, conditional, distribution, sparser, cox, mog, sarcos, edward, david, wrt, carl, savigp] [number, lower, property] [method, large, regression, problem, function, rate, main, optimization, larger, note] [error, sparse, sparsity, statistical, diagonal, high, matrix, order, result]
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks
Minhyung Cho, Chandra Dhir, Jaehyung Lee

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #32
[depth, corresponding, sum] [label, learning, set, machine, experimental, respect, conference] [sequence, neural, ctc, network, output, recurrent, performance, mdrnn, recognition, phoneme, handwriting, deep, training, ggn, softmax, mdrnns, table, alex, deeper, speech, input, weight, multidimensional, hlc, initialized, jnt, layer, multiplication, temporal, length, connectionist, lstm, mapped, memory, hidden, utilized] [approximation, log, proposed, data, computation, written, applied, standard] [best, number, time, path, probability, algorithm, element] [function, optimization, loss, objective, convex, hessian, rate, fisher, gradient, mapping, quadratic, advantage, large, sgd, curvature, linear, adopted, iteration] [matrix, vector, error, block, positive, condition, product, diagonal]
Copula variational inference
Dustin Tran, David Blei, Edo M. Airoldi

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #37
[inference, tree, variable, reduces, marginal, work, joint, box, node] [set, structured, space, require, sensitive, example, generalizes, learning, international, machine, approach, respect] [learn, generic, neural, perform, better, processing] [copula, variational, latent, stochastic, model, posterior, vine, log, distribution, lrvb, bivariate, gaussian, approximation, family, standard, figure, covariance, dependency, multivariate, mixture, likelihood, data, black, density, applied, series, bayesian, procedure, conditional, true] [pair, structure, probability, edge, dependence, uniform, case, algorithm, complexity, strategy] [gradient, method, function, step, apply, note, local, general] [random, factorization, product, independent, order, consider, alternating, selection, estimation, robust, low]
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
Shakir Mohamed, Danilo Jimenez Rezende

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #36
[empowerment, agent, mutual, state, optimisation, internal, maximisation, scalable, room, exact, theory, behaviour, current, transition, directly, predator, currently, decision, box, making] [learning, approach, environment, planning, reinforcement, intrinsic, reward, measure, allows, policy, external, allow, describe, machine, require] [neural, deep, decoder, representation, network, convolutional, visual, future, sequence, reasoning, learn] [variational, distribution, figure, source, model, computation, stochastic, data, true, continuous, develop, computational, log, monte, approximation, carlo, channel, exponential, dynamic, maximising] [algorithm, action, bound, number, complexity, lower, maximum, exploration, horizon, probability, choice] [function, large, problem, compute, computing, core, max] [appendix, solution]
Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani, Tara Sainath, Sanjiv Kumar

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[abstract]

Spotlight: Wed Dec 9th 05:40 - 06:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #34
[form, associated, inference, reference, denoted, accuracy, rectangular] [displacement, structured, transforms, toeplitz, learning, circulant, set, approach, fastfood, respect, false, class, cost, sylvester, vandermonde, paper, spotting, cauchy, ght, hankel, task] [neural, deep, training, mobile, layer, convolutional, input, sharing, multiplication, forward, network, bottleneck, hidden, weight, performance, modeling, complex] [parameter, figure, computed, model, standard, kernel] [structure, time, size, proposition, number] [gradient, fast, linear, operator, function, rate, larger, note, siam, acceleration, generalized, speedup] [matrix, rank, theorem, vector, consider, product, fft, keyword, random, low, denote, special, randomly, result]
Learning visual biases from human imagination
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #9
[template, work, canonical, internal] [system, learning, approach, real, transfer, class, space, mechanical, help, average, label, hyperplane, provide, classify, generalization] [human, visual, feature, bias, car, white, object, computer, orientation, vision, recognition, cnn, training, image, pascal, category, dataset, observer, person, voc, caltech, train, people, performance, bottle, mental, red, hydrant, visualize, chance, trained, hog, extract, turk, build, incorporate, psychophysics, learn, united, natural, conic, predicted, imagine, tvmonitor, television, color] [estimate, data, figure, estimated, standard, sample, prior, estimating, test, procedure, target] [common] [svm, method, top, large, note] [noise, positive, popular]
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
Heiko Strathmann, Dino Sejdinovic, Samuel Livingstone, Zoltan Szabo, Arthur Gretton

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #46
[markov, induced, form, energy, potential, marginal] [score, based, history, set, approach, empirical, require, surrogate, space, basis] [feature, performance, proposal] [kmc, kernel, hamiltonian, monte, target, log, model, mcmc, hmc, carlo, acceptance, density, estimator, approximate, gaussian, exponential, kamh, matching, data, figure, computation, family, bayesian, metropolis, rkhs, covariance, lite, computational, posterior, true, synthetic, stochastic, fourier, estimating, standard, likelihood, abc, constructing, point, adaptation] [chain, adaptive, probability, size, walk, algorithm, proposition, number, mixing, exp] [gradient, convergence, function, update, assume, requires, objective] [random, dimensional, appendix, estimation, solution, scaling, order]
A Complete Recipe for Stochastic Gradient MCMC
Yi-An Ma, Tianqi Chen, Emily Fox

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #47
[markov, term, correct, sampler, topic, dirichlet, state, auxiliary, theory, potential, form, supplement] [framework, space, learning, machine, international, conference, based, account, provide, system, physical, naive, riemannian] [place] [stochastic, distribution, target, continuous, mcmc, monte, hamiltonian, process, proposed, sghmc, recipe, carlo, sgld, langevin, hmc, posterior, gsgrhmc, riemann, data, wikipedia, sgrhmc, diffusion, devising, invariant, sampling, equation, deterministic, latent, written, sgrld, log, demonstrate, figure, simulating] [stationary, probability, algorithm, chain, prove, exists] [gradient, method, correction, fisher, large, simply, momentum, practical, function, variant, interpretation] [noise, matrix, theorem, positive, desired, consider, analysis, small]
Barrier Frank-Wolfe for Marginal Inference
Rahul G. Krishnan, Simon Lacoste-Julien, David Sontag

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #48
[map, marginal, marginals, trw, inference, exact, trbp, tree, ground, rho, spanning, sontag, discrete, graphical, performing, node, work, outer] [polytope, set, entropy, close, learning] [truth, boundary, perform, chinese, better] [approximate, log, synthetic, variational, continuous, computed, conditional] [algorithm, bound, upper, edge, vertex, bounded] [objective, optimizing, optimization, correction, convergence, function, gap, optimize, linear, convex, solver, gradient, loop, iterates, convergent, method, jaakkola, lipschitz, local, arg, large, rate, duality, compute, tightening, fast, max, variant, primal, minimization, constant, update, global, realizes] [error, opt, inner, solution, min, random, vector, contraction, order]
Practical and Optimal LSH for Angular Distance
Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ilya Razenshteyn, Ludwig Schmidt

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #49
[search, work, theory, quality] [lsh, hash, hyperplane, distance, multiprobe, nearest, query, optimal, set, hashing, sphere, probing, collision, space, paper, evaluation, measure, real, nyt, close, essentially, piotr] [unit, feature, single, table, memory, sift] [data, family, log, point, gaussian, approximate, angular, full, parameter, standard, proposed, compared] [time, neighbor, lower, bound, probability, number, algorithm, structure, practice, similarity] [function, scheme, note, fast, linear, euclidean, large, apply, arg, practical, problem, faster] [random, order, consider, theorem, spherical, version, analysis, theoretical, appendix, running, achieves, vector, matrix, closest, dimension]
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions
Jonas W. Mueller, Tommi Jaakkola

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #50
[marginal, largest, constraint, challenge] [wasserstein, distance, set, empirical, approach, machine, measure, supplementary, framework, learning, produced] [feature, relevant, original] [univariate, divergence, procedure, multivariate, density, matching, difference, cell, figure, data, distribution] [probability, algorithm, underlying, number, exp, comparison, maximum, focus] [projected, problem, linear, direction, tightening, max, method, objective, general, large, subgradient, chosen, dual, greater, gradient, convex, convergence, global] [sparse, sparda, relaxation, analysis, projection, pnq, pda, ptq, journal, relax, principal, sparsity, solution, pca, min, random, zij, pmq, expression, theorem, cardinality, high, statistical, xpnq, nonzero, pwm, eigenvector, power, vector, small, component]
Kullback-Leibler Proximal Variational Inference
Mohammad E. Khan, Pierre Baque, François Fleuret, Pascal Fua

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #51
[inference, term, subproblems, equivalent, equivalence, equal] [approach, machine, set, based, propose, existing, international, framework, hyperparameter, conference, basis, supplementary, datasets] [natural, table, sequence, better, arxiv, rest, feature, neural, slow, report] [variational, bayesian, gaussian, posterior, model, log, stochastic, approximation, latent, conjugate, distribution, data, kernel, laplace, process, divergence, likelihood, predictive, vnk, cholesky, approximate, computation, family, compare, introduce, david, emtiyaz, dkl] [algorithm, lower, bound, time, easy, switzerland] [proximal, method, function, linear, gradient, optimization, convergence, geometry, note, logistic, max, step, general, arg] [vector, consider, matrix, running, result]
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring
Gunwoong Park, Garvesh Raskutti

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #52
[node, graphical, candidate, accuracy, recovers, variable] [set, learning, hamming, based, distance, score, exploiting] [performs, generated] [poisson, sample, model, computational, true, conditional, standard, distribution, data, bayesian, numerical, figure, estimate, parameter, log, conditionally, equation, estimated] [dag, causal, algorithm, ordering, complexity, size, graph, undirected, overdispersion, moralized, directed, time, number, degree, prove, glmlasso, neighborhood, yang, sjk, edge, choice, element, maximum, structure, proof] [step, main, large, assumption, function, note, regression, general, linear, glm, larger] [statistical, idea, random, theorem, consider, theoretical, condition, small, well, denote]
Streaming Min-max Hypergraph Partitioning
Dan Alistarh, Jennifer Iglesias, Milan Vojnovic

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #53
[partition, assignment, balanced, assigned, hypergraph, load, balance, topic, big, proportional, balancing, polya, represented, associated, prefer, work, considered, parsa, connects, ratio] [set, cost, provide, based, allows, goal, submodular] [hidden, input, memory, performance, single] [data, log, computation, model, process, figure, stochastic, approximation, normalized, asymptotic, distinct] [number, item, greedy, graph, partitioning, maximum, probability, algorithm, urn, strategy, time, acm, prove, proof, assign, size, lemma, exists, focus, total] [problem, online, large, limited, constant, decreasing, chosen, main] [component, recovery, cluster, streaming, random, bipartite, consider, small, order, uniformly, arrive, distributed, community, studied, block, clustering, solution]
Efficient Output Kernel Learning for Multiple Tasks
Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #54
[formulation, corresponding, jointly, accuracy, constraint, solved, variable] [learning, task, set, generalization, class, paper, multiple, employed, approach, supplementary, binary, range, prediction, allows] [output, table, better, scene, feature, performance, previous, input, benchmark, learn, training] [kernel, data, proposed, stochastic, figure, standard, alternate, explicit, maximizer] [algorithm, number] [problem, dual, optimization, convex, function, fmtlp, loss, okl, convexokl, primal, squared, regularizers, max, note, unconstrained, coordinate, mit, solve, ascent, minimization, faster, solver, large, main, analytical, regularized, mtrl, ten, duality] [matrix, positive, theorem, result, well, expression, denote, regularizer, runtime, solution, frobenius]
Gradient Estimation Using Stochastic Computation Graphs
John Schulman, Nicolas Heess, Theophane Weber, Pieter Abbeel

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #55
[node, sum, inference, work, probabilistic, term, variable, called, formalism] [learning, policy, reinforcement, respect, score, surrogate, cost, set, machine, environment, multiple, allows] [neural, input, arxiv, preprint] [stochastic, log, computation, estimator, deterministic, depsv, variational, backpropagation, expectation, derivative, equation, latent, distribution, variance, estimate, continuous, parentsv, unbiased, computed, prior, derived, deterministically, likelihood, pathwise, model, monte, sample, differentiate, carlo, differentiation, parameter, depsw] [algorithm, graph, probability, write, simple, expected, case, corollary, path] [gradient, function, loss, compute, general, objective, differentiable, note, requires, apply, generalized] [random, appendix, consider, condition, estimation, denote]
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors
Andrea Montanari, Daniel Reichman, Ofer Zeitouni

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #87
[clique, submatrix, largest] [respect, hypothesis, law, measure, set, recall, sphere, paper, subset] [hidden, detection, unit, sequence] [gaussian, distribution, test, variance, standard, log, model, computational, invariant, detecting, asymptotic, derivative, university, gaussians, realization] [lim, exp, proof, case, algorithm, probability, lemma, testing, time, exists, distinguish, bounded, implies, uniform, size, bound, setting, graph, upper] [problem, large, second, general, main, technique, note] [random, matrix, tensor, symmetric, spectral, independent, consider, theorem, contiguous, denote, orthogonal, planted, result, polynomial, reliable, statistical, distributed, norm, vector, noisy, measurable, order, goe, moment, uniformly, version, product, eigenvalue, special, consequence]
Beyond Convexity: Stochastic Quasi-Convex Optimization
Elad Hazan, Kfir Levy, Shai Shalev-Shwartz

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Dates n/a. @ 210 C #86
[sum] [learning, machine, paper, average, international] [neural, deep, training, performance, activation] [stochastic, point, equation, normalized, university, figure, sigmoid] [algorithm, size, lemma, prove, exists, property, bound, implies, proof, number, case, unimodal, corollary, upper] [gradient, optimization, minibatch, function, sngd, ngd, descent, convex, assume, slqc, glm, convergence, global, assumption, objective, presented, rate, sgd, problem, note, arg, method, requires, msgd, large, provably, lipschitz, iteration, generally, setup, linear, converges, arbitrarily, step, errm, idealized, faster, subgradient, feasibility] [theorem, analysis, consider, error, small, solution, order, running, dimension, noisy, denote, required, version]
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms
Christopher M. De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré, Christopher Ré

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #85
[christopher, construct, statement, state] [learning, precision, machine, success, arithmetic, allows, writes, multiple, approach, easily] [hardware, single, produce, training, neural] [stochastic, sequential, process, data, compared, parameter, standard, log, point, model] [algorithm, time, probability, bound, corollary, bounded, case, proof, size, expected, failure, write, exists, horizon] [asynchronous, rate, sgd, ogwild, convergence, convex, uckwild, supermartingale, assume, update, gradient, descent, coordinate, function, parallel, analyze, step, succeeded, main, technique, alecton, speedup, logistic, derive, peter, problem, rule, method, lipschitz, choose, general, optimization, wild] [matrix, result, running, random, theorem, denote, version, including, analysis, noise, completion, error]
Fast Randomized Kernel Ridge Regression with Statistical Guarantees
Ahmed Alaoui, Michael W. Mahoney

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #84
[michael, work, construction, statement, factor, context] [learning, dimensionality, machine, effective, algorithmic, conference, prediction, recall, paper, risk, optimal] [input, performance, dataset, natural] [kernel, approximation, sampling, data, distribution, parameter, sample, estimator, approximate, synthetic] [time, number, bound, notion, case, proof, best, uniform, prove, concentration, setting, algorithm, maximal, probability] [problem, method, fast, improved, ridge, regression, main, squared, chosen, linear, note, regularization] [matrix, leverage, statistical, result, deff, theorem, random, running, sampled, rank, dmof, error, journal, randomized, analysis, sketching, version, bach, petros, positive, appendix, sharp, mahoney, improving, order, gittens, column, vector, diagonal, randomly]
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #83
[depth, search, joint, largest, auxiliary, tree] [learning, machine, set, conference, evaluation, maintains, international] [better, third, performance] [bayesian, exponential, point, figure, estimated, parameter, gaussian, kernel, procedure, process, diagram, hyperparameters, deterministic, sampling, considering, test, prior, data, correspond, computed] [bound, algorithm, regret, interval, imgpo, number, ucb, unknown, ngp, tight, bamsoo, soo, division, upper, exp, best, case, hyperrectangle, direct, increasing, selects, side, knowledge, exploration, simple] [optimization, function, global, step, convergence, method, lipschitz, assumption, rate, objective, additional, problem, iteration, assume, second, mit, local] [center, consider, theoretical, achieves]
Robust Portfolio Optimization
Huitong Qiu, Fang Han, Han Liu, Brian Caffo

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #82
[factor, three, allowed, theory, michael] [portfolio, asset, risk, return, elliptical, qne, based, stock, ogk, scatter, optimal, shrink, empirical, heavy, quantile, exponentially, management, sharpe, approach, wopt, allowing, financial] [scale, table, short] [covariance, sample, proposed, data, distribution, log, multivariate, standard, matching, process, estimating, university, estimator, gaussian, compared, xtk, introduce, estimate] [dependence, size, stationary, number, degree] [optimization, rate, convergence, constant, oracle, large, max, method, serial, shrinkage] [matrix, robust, journal, high, vector, theorem, tail, statistical, random, consistency, principal, estimation, independent, analysis, norm, condition, annals, order, unique, projection, positive]
Differentially Private Learning of Structured Discrete Distributions
Ilias Diakonikolas, Moritz Hardt, Ludwig Schmidt

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #81
[domain, discrete, work, corresponding, logarithmic] [learning, empirical, distance, set, hypothesis, structured, goal, class, computationally, agnostic, range] [output, input, performance, natural] [distribution, sample, data, approximation, piecewise, synthetic, cdf, density, family, target, point, higgs, figure, standard, log, approximate, wide, approximating, rror] [algorithm, size, probability, time, unknown, kolmogorov, number, maximum, total, monotone, dtv, histogram, variation, complexity, dependence, interval, aximum, best, simple, basic, unimodal, underlying, choosing, minimax, focus, implemented, access] [large, problem, linear, function, rule, constant, step, note, method, rate] [private, privacy, error, differentially, estimation, differential, running, theorem, statistical, arbitrary, denote, theoretical, appendix, design]
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis Bach

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #80
[formulation, intersection, suggests, interesting, yield] [optimal, multiple, set, learning, labelled, generalization, class, existing, propose, majority] [embedding, transduction, table, embeddings, laplacian, scale, unit] [sample, proposed, approximate, kernel, estimate, log, approximation, standard, computed, point] [graph, algorithm, pac, simple, complexity, choice, study, number, feasible, probability, lemma, edge] [spore, proximal, function, convex, inexact, compute, problem, iip, note, solve, derive, operator, large, method, interest, support, convergence, optimization, fista, rate, subgradient, posed, step, presented, iteration, minimizing, descent, infeasible] [orthonormal, projection, analysis, theorem, spectral, norm, min, denote, matrix, random, error, solution, kij, noisy, design, positive, diagonal]
StopWasting My Gradients: Practical SVRG
Reza Harikandeh, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konečný, Scott Sallinen

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #79
[work, fit, form, initial] [set, learning, machine, require, heuristic, allows, effective, experimental, datasets] [performance, training, neural, processing, reduce, skip, natural, better, evaluate, sequence] [stochastic, full, variance, sampling, test, data, approximate, compared, approximation, indicate, typically, proposed, log] [algorithm, number, strategy, size, proposition, case, implies] [svrg, gradient, convergence, rate, support, method, batch, iteration, regularized, problem, assume, linear, classic, optimization, update, large, regression, early, practical, requires, converges, logistic, ski, loss, step, compute, faster, slower, depending, objective, progress, psi, function, constant] [error, consider, mixed, appendix, result, random, grow, condition, solving, required]
Smooth and Strong: MAP Inference with Linear Convergence
Ofer Meshi, Mehrdad Mahdavi, Alex Schwing

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #78
[map, inference, term, adding, soft, programming, factor, form, minor, add] [optimal, based, score, approach, notice, propose, existing, cost] [program, better, segmentation, table] [proposed, compare, point, model, conditional, synthetic, applied, log, stochastic] [algorithm, number, bound, case, study, maximum, upper] [dual, objective, smooth, primal, convergence, gradient, rate, coordinate, linear, strong, subgradient, max, convexity, optimization, descent, agd, convex, accelerated, minimization, smoothing, requires, function, problem, optimize, converge, convergent, proximal, global, method, lagrangian, penalty, guaranteed, quadratic, globally] [solution, min, relaxation, appendix, cardinality, order, projection, high, ieee, analysis, theoretical, norm]
Spectral Learning of Large Structured HMMs for Comparative Epigenomics
Chicheng Zhang, Jimin Song, Kamalika Chaudhuri, Kevin Chen

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #35
[tree, state, chromatin, observation, biological, hmm, node, hmms, three, smf, graphical, variable, markov, type, work, symmetrization, skeletensor, key, root, transition, construct, accuracy, corresponding, novel, conditioned, construction, chromosome] [learning, set, multiple, range, approach, empirical, naive, provide, individual, prediction] [hidden, human, single, learn, third, biologically, sequence] [cell, model, data, latent, figure, background, standard, variational, constructing, full, computational, applied] [algorithm, structure, number, path, time, complexity, notation] [large, method, assumption, main, technique, second] [spectral, tensor, matrix, product, rank, denote, order, independent, recover, provided, version]
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels
Purnamrita Sarkar, Deepayan Chakrabarti, peter j. bickel

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #53
[node, counting, work, accuracy] [prediction, query, precision, recall, average, score, set, heuristic, predicting, empirical, based, goal, space, threshold] [network, perform, complex, higher, auc, dataset, understanding, better] [stochastic, log, latent, standard, simulated, parameter, data, university, observed, empirically] [common, number, link, degree, graph, probability, algorithm, cleaning, blockmodel, social, expected, identify, simple, dqa, katz, proof, bound, connect, regime, calculate, intuition] [problem, large, step, assume, fast, note] [cluster, clustering, spectral, random, theoretical, good, order, well, popular, theorem, condition, high, fraction, sparse, broad, denote, solves, result]
Community Detection via Measure Space Embedding
Mark Kozdoba, Shie Mannor

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #52
[partition, ground, three, node] [set, cost, provide, evaluation, measure, space, based, empirical, evaluated, supplementary, paper, average, approach] [detection, performance, generated, better, truth, reconstruction, length, benchmark, evaluate] [model, figure, mixture, log, stochastic, standard, distribution, introduce] [algorithm, graph, number, probability, walk, best, vertex, structure, started, proof, size, case, degree, simple, edge] [function, large, note, step, second, linear, improved, optimization] [community, der, random, overlapping, lfr, spectral, theoretical, clustering, good, enmi, well, denote, high, political, analysis, santo, nmi, block, andrea, version, matrix, sbm, result, infomap, provided]
Learning Bayesian Networks with Thousands of Variables
Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #45
[search, list, node, outperforms, novel, variable, negative, swapping, mutual, explores, current, effectively, scoring] [set, approach, learning, score, conference, space, allows, optimal, learned, machine, effective, propose, based] [network, higher, table, interaction] [data, bayesian, log, sequential, difference, computed, uncertainty, compared, test, approximated] [parent, structure, bic, asobs, number, independence, algorithm, ordering, size, time, gobnilp, structural, todo, maximum, favor, complexity, greedy, corollary, best, setting, graph, element] [optimization, chosen, large, rule, solver, open, note, larger, constant] [selection, theorem, positive, consistency, consider, order, matrix, randomly]
Planar Ultrametrics for Image Segmentation
Julian E. Yarkony, Charless Fowlkes

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #44
[hierarchical, constraint, corresponding, cycle, perfect, add, explicitly, term, quality, partition] [set, planar, distance, approach, threshold, allows, optimal, space, cost, collection, based] [segmentation, image, layer, connected, valid, boundary, level, generated, represent, benchmark, generation, length, plane] [figure, introduce] [edge, graph, algorithm, number, lower, pair] [dual, problem, objective, convergence, solve, linear, additional, function, solver, local] [ultrametric, cut, closest, multicut, clustering, solution, ucm, denote, vector, multicuts, indicator, min, relaxation, residual, cutting, slack, column, small, julian, violated, correlation, introduction, expanded, bsds, weighted, matrix, fred, superpixels, relative, finding]
Reflection, Refraction, and Hamiltonian Monte Carlo
Hadi Mohasel Afshar, Justin Domke

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #43
[position, move, energy, markov, potential, exact, intersection, state, probabilistic, correct, three, balance] [trajectory, andrew, polytope, rarely] [baseline, boundary, plane, proposal, transformation, traditional, simulate] [hamiltonian, leapfrog, monte, hmc, piecewise, volume, carlo, distribution, refraction, point, rhmc, change, sample, continuous, sampling, rejected, period, detailed, australian, figure, till, located, preservation, leave, numerical, standard, pakman, tuned, simulation, applied, fewer, full, changed, proposing, simulating, evolution, acceptance, conservation] [time, algorithm, chain, probability, lemma, stationary, total, proof, prove, number, size, easy] [momentum, step, method, def, absolute, iteration, large, main, note, national] [error, random, component, exactly, high, leading]
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models
Juho Lee, Seungjin Choi

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #42
[gibbs, tgmcmc, tree, split, marginal, inference, partition, ibhc, nrmm, sampler, bhc, potential, hierarchical, subtree, slice, merge, three, nrm, inserted, merged, novel, dirichlet, transition, toy, explain, corresponding, leaf, developed, iter, built] [set, measure, propose, average, binary, existing, international, machine] [dataset, single, better, initialized] [data, mcmc, posterior, mixture, normalized, bayesian, proposed, procedure, compared, sample, likelihood, log, computed, point, deterministic, figure, process, written, synthetic, generative] [probability, time, algorithm, case, number, complexity, pair] [global, local, step, incremental, splitting, max, base, top] [random, cluster, journal, clustering]
Policy Evaluation Using the Ω-Return
Philip S. Thomas, Scott Niekum, Georgios Theocharous, George Konidaris

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #51
[state, type, ground, suggests, work, making, absorbing] [rst, return, empirical, approx, app, conference, reinforcement, policy, learning, emp, set, notice, international, marketing, account, control, weighting, propose, machine, allows, evaluation, relationship, false] [length, complex, temporal] [approximate, estimate, variance, difference, model, covariance, estimator, true, estimating, monte, carlo, unbiased, approximating, family, approximation, estimated, figure, university, computed, parametric, proposed, sample, parameter, data] [number, expected, best, algorithm] [assumption, squared, linear, function, problem, compute, large, method, reasonable, scheme, generalized] [error, diagonal, matrix, correlation, independent, small, consider, theoretical, high, statistical]
On the Accuracy of Self-Normalized Log-Linear Models
Jacob Andreas, Maxim Rabinovich, Michael I. Jordan, Dan Klein

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #50
[associated, supported, work, hard, accuracy, corresponding, evidence, constraint, form] [set, empirical, close, class, provide, machine, expect, respect, exist, example, paper, conference] [input, output, natural, training, neural, feature, language, network, described] [likelihood, model, distribution, normalizer, log, figure, parameter, data, normalizable, conditional, normalization, computational, concerned, continuous, predictive, observed, variance, approximate, true, computation, applied] [case, uniform, probability, proposition, lower, bound, easy, bounded] [gap, large, function, general, linear, constant, problem, generalized, loss, choose, open, quantity] [theoretical, result, good, characterization, suppose, theorem, exactly, norm, small, random, alternative]
Large-scale probabilistic predictors with and without guarantees of validity
Vladimir Vovk, Ivan Petej, Valentina Fedorova

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #49
[probabilistic, scoring, merged, corresponding, extra, equal] [calibration, set, ivap, prediction, cvap, brier, paper, ivaps, platt, proper, machine, empirical, cvaps, learning, labelled, vladimir, based, label, ntrain, gcm, venn, conference, bagging, consistently, validity, bayes, predictor, average, notice, experimental, multiprobability] [training, neural, output, object, produce] [log, data, test, full, standard, figure, procedure, computational, predictive, applied] [underlying, probability, case, algorithm, proposition, number, minimax, size, time, referred] [isotonic, loss, regression, method, function, logistic, svm, large, advantage, second, apply, regularization, main] [random, order, precise, vector, version, geometric]
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
Amar Shah, Zoubin Ghahramani

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #46
[search, map, key, evaluating, discrete, belief] [approach, entropy, set, based, respect, select, robot, location, machine, query, evaluated, learning, gain, selecting] [previous, performance, evaluate, neural, single, input] [appes, gaussian, ppes, predictive, bayesian, posterior, process, maximizer, approximation, sample, point, whilst, kernel, sampling, approximate, distribution, expectation, regretregret, rocket, synthetic, figure, hydrogen, university, ucbpe, smucb, median, expensive, bucb, model, test, amenable, approximated, estimate] [regret, greedy, best, maximize, algorithm, size, strategy, expected, choosing, upper] [function, objective, optimization, batch, global, parallel, method, compute, choose, problem, chosen, gradient] [consider, random, noisy, selection, well]
Logarithmic Time Online Multiclass prediction
Anna E. Choromanska, John Langford

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[abstract]

Spotlight: Thu Dec 10th 10:10 - 10:40 AM @ Room 210 A
Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #37
[tree, node, lomtree, logarithmic, partition, leaf, pure, split, decision, child, oaa, balanced, purity, maximally, root, quality, odp, work, construction, shannon, smallest, setnode, filter, factor, depth, sector, addressed] [class, example, label, hypothesis, approach, entropy, learning, set, reaching, prediction, reduction, criterion, weak, paper, binary, supplementary, measure, empirical, datasets, address] [training, train, imagenet, table, dataset] [test, left, data, equation, figure, difference, computational, distribution, applied] [time, number, algorithm, lemma, proof, inequality, best, probability] [objective, multiclass, problem, online, function, large, swap, denotes, boosting, note, loss] [theoretical, denote, consider, theorem, error, analysis, captured, vector]
Less is More: Nyström Computational Regularization
Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco

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[abstract]

Oral: Thu Dec 10th 09:50 - 10:10 AM @ Room 210 A
Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #63
[state, corresponding, considered, form, associated] [learning, optimal, based, set, empirical, space, approach, fastfood, allows, control, effective, paper] [training, plain, level, performance, scale, art, memory, benchmark] [kernel, computational, model, log, approximation, volume, test, sampling, rbf, derived, considering, figure, sample, data] [number, algorithm, probability, study, time, case, uniform, setting, achieve, basic] [regularization, regularized, large, incremental, assumption, main, note, compute, method, regression, operator, jmlr, krls, problem, chosen, tikhonov, function, batch] [subsampling, error, leverage, random, analysis, statistical, matrix, theorem, condition, consider, selection, solution, spectral, rmse, design, theoretical, min, small]
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
Vidyashankar Sivakumar, Arindam Banerjee, Pradeep K. Ravikumar

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #99
[width, group, work, argument, associated, form, called] [set, based, structured, relationship, paper, example, existing, distance, essentially, metric] [generic, unit, previous] [gaussian, exponential, log, sample, figure, parameter, compared, process, university] [bound, complexity, number, case, probability, inf, corollary, size, element, inequality, upper, fact, lower] [constant, problem, regularization, note, linear, satisfy, general, regularized] [error, design, norm, estimation, analysis, result, consider, condition, recovery, random, lasso, noise, matrix, sparse, vector, suitable, depends, theorem, establish, order, high, noiseless, isotropic, atleast, independent, denote, sharp, ieee, chaining, dantzig]
Finite-Time Analysis of Projected Langevin Monte Carlo
Sebastien Bubeck, Ronen Eldan, Joseph Lehec

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #93
[motion, box, potential, markov, outer, supported, contribution, work] [measure, paper, distance, wasserstein, set, close, dxt, learning, hand] [boundary, unit, viewed] [lmc, process, stochastic, langevin, volume, monte, carlo, sampling, continuous, diffusion, distribution, gaussian, standard, normal, point, bayesian, posterior, approximation, sample, dws] [brownian, time, chain, dwt, case, bound, mixing, starting, total, variation, skorokhod, lemma, observe, dalalyan, uniform, study, proof, tanaka, inequality, discretized, algorithm, path, probability, simple, walk, prove] [constant, convex, ball, problem, main, function, gradient, note, smooth, projected, vempala, unconstrained, euclidean, support, inverse, convexity, body, max] [result, theorem, random, analysis, solution, projection, orthogonal, theoretical, order]
On the consistency theory of high dimensional variable screening
Xiangyu Wang, Chenlei Leng, David B. Dunson

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #92
[variable, marginal, extra] [consistent, relationship, set, supplementary, framework, class, notice, example, provide] [article, performance, feature] [covariance, estimator, sample, log, model, computational, data, gaussian, distribution] [lemma, size, proof, prove, probability, independence, focus, corollary, study, exp, case, implies] [strong, linear, large, max, assume, assumption, regularized, technique, chosen, usual, regression, second, method] [screening, condition, matrix, rdd, consistency, restricted, diagonally, dominant, theorem, selection, sparsity, holp, random, min, statistical, design, high, dimensional, ancillary, journal, asis, consider, correlation, irrepresentable, stronger, annals, aholp, lasso, noise, sign, compressed, ordinary, eigenvalue, special, requirement, vector, projection, theoretical, hold, verify]
Exactness of Approximate MAP Inference in Continuous MRFs
Nicholas Ruozzi

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #91
[map, graphical, discrete, decomposable, scaled, tightness, negative, potential, decomposability, propagation, belief, factor, corresponding, closure, continuously, node, hypergraph, assignment, inference, mrfs, equal, wald, globerson, extension, supx, homomorphism, ruozzi, appears, appropriately, marginal] [provide, optimal, set, machine, relationship, weak] [understanding] [continuous, log, gaussian, model, approximate, multivariate] [graph, case, proof, tight, exp, pairwise, probability, simple, maximum, number, prove] [function, local, problem, concave, general, differentiable, linear, applying, objective, convergence, computing, assume] [theorem, relaxation, positive, diagonally, matrix, vector, ieee, condition, dominant, characterization, solution, journal, consider, special, diagonal, result, consistency, theoretical]
Linear Multi-Resource Allocation with Semi-Bandit Feedback
Tor Lattimore, Koby Crammer, Csaba Szepesvari

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #90
[exploit, type, start, corresponding, work, hypercube] [optimal, task, supplementary, machine, optimism, set, learning, success, multiple] [sequence, bilinear, challenging, natural, experiment] [stochastic, log, variance, kth, estimator, computed, model, figure, data, thomas] [mtk, algorithm, regret, allocation, resource, ctk, time, ptk, case, bound, economist, gtk, probability, proof, number, unknown, optimistic, csaba, allocating, chooses, lemma, lattimore, ytk, bandit, setting, rusmevichientong, fact, corollary, learner, action, vps, feedback, completed, maxk] [linear, problem, max, step, arg, main, second, chosen, large, assumption, computing, linearly, note, implementation] [min, weighted, estimation, theorem, small, high, unweighted, analysis, theoretical, depends, matrix]
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
Tian Lin, Jian Li, Wei Chen

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #89
[decision, exploit, marginal, exact, selected, work, largest, pure] [reward, set, learning, optimal, return, propose, minimize, class, environment, maximization, policy, system, instance, supplementary, submodular] [sequence, unit, stage, memory, arxiv, preprint, performance] [stochastic, log, process, classical] [greedy, algorithm, time, regret, bound, combinatorial, feasible, arm, exploration, maximal, bandit, maxoracle, minimum, subroutine, player, upper, accessible, lower, horizon, element, unknown, radt, expected, ucb, exploitation, implement, total, size, achieve, maximum, lucb, seed, cumulative, bounded] [online, problem, gap, function, arg, constant, epoch, assume, objective, max, linear, update, china, call, general, step] [solution, phase, theorem, denote, random, journal, consider]
Efficient and Parsimonious Agnostic Active Learning
Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu, John Langford, Robert E. Schapire

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[abstract]

Spotlight: Thu Dec 10th 10:10 - 10:40 AM @ Room 210 A
Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #61
[constraint, term, three, microsoft] [label, active, learning, query, disagreement, oac, set, passive, example, agnostic, improvement, empirical, aucbase, generalization, based, querying, realizable, datasets, risk, provide, nyc, maintains, john, conference, minimize] [region, predicted, unlabeled, labeled, single, previous, perform, better, weight, table] [test, log, data, median, drawn, distribution, variance, sample, computational] [algorithm, probability, best, complexity, number, regret, bound, setting, learner, cover] [erm, problem, epoch, arg, errm, optimization, second, oracle, max, online, dual, schedule, main, objective, solve] [error, appendix, good, solving, theorem, solution, small, relative, achieves, including, analysis]
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
Nikhil Rao, Hsiang-Fu Yu, Pradeep K. Ravikumar, Inderjit S. Dhillon

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Thu Dec 10th 10:10 - 10:40 AM @ Room 210 A
Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #62
[considered, corresponding, partially, context, equivalent, form] [based, set, framework, learning, machine, propose, conference, real] [laplacian, feature, fully, table, multiplication, magnitude, neural, incorporate, dataset] [observed, figure, data, sample, standard, kernel, proposed] [graph, algorithm, complexity, case, time, social, comparison, proof, greedy] [assume, method, gradient, minimization, convex, note, regularized, problem, generalized, regularization, additional, derive, solve, general, large, compute, descent, admm] [matrix, norm, weighted, nuclear, atomic, rank, completion, factorization, consider, alternating, diagonal, min, kzka, grals, theoretical, statistical, solving, rmse, random, consistency, low, collaborative, row, vec, power, appendix, singular, lie, recommender, result, analysis, regularizer, block, journal]
Learning structured densities via infinite dimensional exponential families
Siqi Sun, mladen kolar, Jinbo Xu

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #70
[graphical, group, markov, node, probabilistic] [score, learning, set, based, machine, material, space, supplementary] [performance, pattern] [model, exponential, log, true, fij, kernel, density, matching, hij, procedure, data, estimated, gaussian, family, rkhs, estimate, normalization, parametric, distribution, sample, nonparametric, truepositiverate, nonparanormal, conditional, university, proposed, estimator, detailed] [structure, graph, probability, edge, underlying, prove, falsepositiverate, undirected, neighborhood, encoded, size, unknown] [function, qqq, constant, minimizing, operator, method, objective, assume, problem, main, rate, penalty, optimization] [denote, theorem, kij, estimation, random, positive, matrix, lasso, sparsity, norm, vector, statistical, journal, solution, penalized, order, min, dimensional, chicago, condition, glasso, high, selection, independent, sparse]
Lifelong Learning with Non-i.i.d. Tasks
Anastasia Pentina, Christoph H. Lampert

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #71
[corresponding, work, theory, form, quality, gibbs] [task, learning, set, lifelong, eri, environment, transfer, based, machine, empirical, ert, fractional, goal, allow, conference, observing, allows, austria, framework, respect, hand, minimal] [future, previous, training, performance, bias, feature, weight, learn] [observed, distribution, data, prior, log, difference, change, sample, model, dependency, inductive, posterior, gaussian, applied] [bound, exp, algorithm, probability, expected, learner, case, chromatic, graph, complexity, inequality, cover, setting, depend, lemma, study, unobserved, prove, side, size, identify] [assumption, assume, limited, note, second, linear, amount, loss] [theorem, error, sampled, uniformly, order, result, journal, subsequent, well, odd]
Secure Multi-party Differential Privacy
Peter Kairouz, Sewoong Oh, Pramod Viswanath

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #68
[accuracy, decision, theory, formulation, exact] [optimal, interactive, measure, response, average, multiple, cost, allow, manifold, goal] [observer, level, output, single, computer, program] [data, central, computation, computed, distribution, equation] [simple, annual, fact, adversary, probability, acm, case, setting, correlated] [function, rule, communication, main, linear, compute, optimality, problem, computing, general, optimization, strong, convex, universal, requires, max] [privacy, party, protocol, differential, randomized, private, symposium, result, transcript, bit, consider, xor, secure, tensor, solution, ieee, differentially, arbitrary, condition, desired, studied, simultaneously, order, matrix, rank, broadcasted, journal, version, award, accave, solving]
Adaptive Stochastic Optimization: From Sets to Paths
Zhan Wei Lim, David Hsu, Wee Sun Lee

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #69
[observation, equivalence, marginal, gibbs, ipp, agent, search, work] [submodular, set, rac, location, history, policy, mlrb, uav, planning, pointwise, space, cost, reduction, hypothesis, scenario, active, learning, mlb, aso, instance, informative, consistent, goal, submodularity, sensor, class, orienteering, task, wee, grasping, subset] [recursive, performance, movement] [stochastic, prior, true, likelihood, approximation, figure, uncertainty, distribution, david] [adaptive, algorithm, path, monotone, bound, expected, proposition, item, probability, greedy, identify, time, pair] [function, optimization, problem, objective, constant, solve, satisfy, loss, sun, max, assume, optimizing, generalized, general] [error, version, noisy, condition, polynomial, solution, depends]
Smooth Interactive Submodular Set Cover
Bryan D. He, Yisong Yue

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #66
[vary, decision, diverse] [submodular, set, cost, fmax, interactive, multiple, threshold, learning, issc, conference, utility, goal, hypothesis, plausible, fhi, tolerance, international, active, machine, distance, approach, andrew, curve, andreas, class, plausibility, fhmax, response, carlos, rational, require, minimal, submodularity, query, allows, generalization] [previous, sequence, neural] [figure, approximate, continuous, approximation, target, data, true] [cover, algorithm, setting, monotone, greedy, basic, adaptive, knowledge, covering, prove, unknown, mining, discovery, acm, action, feedback, maximum] [problem, function, smooth, convex, solve, optimization, satisfy, general, satisfying, optimize, max, note, provably, large] [version, appendix, condition, noisy, solving, theoretical, application]
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number
Janne H. Korhonen, Pekka Parviainen

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #67
[node, inference, intelligence, ilp, construct, programming, tractable, solved, treewidth, variable, called, formulation] [learning, set, optimal, score, conference, integer, instance, international, machine, class, task] [network, input] [bayesian, figure, data, david, parameter, university, uncertainty, computational] [vertex, cover, bounded, number, dag, time, graph, structure, algorithm, size, parent, lemma, complexity, moralised, bound, edge, combinatorial, zsv, directed, maximum, best, degree, arc, covered, undirected, choice, moral, yuv, fpt, practice, periphery] [core, assume, linear, problem, practical, note, function, general] [polynomial, running, theorem, consider, restricted, alternative]
Predtron: A Family of Online Algorithms for General Prediction Problems
Prateek Jain, Nagarajan Natarajan, Ambuj Tewari

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #64
[relevance, discrete, group, theory] [prediction, space, subset, learning, multilabel, label, framework, set, score, machine, based, binary, conference, existing, ndcg, easily, rep] [representation, input, dataset, generated, natural, training, sequence, abstract, predicted, supervised, unit, neural] [classical, standard, data, figure, test] [algorithm, bound, ranking, mistake, number, lemma, notion, corollary, learner, maximum, choice, iff, increasing] [loss, margin, pred, lndcg, perceptron, general, function, multiclass, online, predtron, note, decreasing, linear, separable, linearly, max, gradient, modern, convex, assume, large, convert, crammer, koby, derive, choose] [vector, norm, matrix, suppose, consider, order, error, low, appendix]
On the Optimality of Classifier Chain for Multi-label Classification
Weiwei Liu, Ivor Tsang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #65
[search, aaai, developed, represents] [label, optimal, set, generalization, prediction, learning, conference, instance, propose, based, binary, real, supplementary, eurlex, machine, locally, international, achieved, multilabel] [performance, training, input, computer, output, image, answer, correctly, represent] [data, model, proposed, capture, cca, distribution, drawn, log, deterministic] [chain, algorithm, lemma, bound, number, time, complexity, ecc, probability, achieve, exists, corollary, yahoo] [gcc, margin, globally, problem, augmented, denotes, generalized, minimization, mmoc, support, function, applying, assume, requires, large, erd] [error, order, random, theorem, suppose, ieee, vector, result, analysis, theoretical, square]
Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits
Huasen Wu, R. Srikant, Xin Liu, Chong Jiang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #73
[context, agent, logarithmic, programming, constraint, correct, work, term, decision] [reward, cost, based, optimal, conference, system, average, empirical, set, propose, computationally, learning, threshold, supplementary, international] [boundary, performance, benchmark] [distribution, log, proposed, approximation, university, expectation] [regret, algorithm, budget, contextual, alp, expected, action, remaining, achieve, ucb, study, total, probability, ranking, bandit, unknown, case, bound, time, adaptive, property, lemma, upper, ordering, concentration, best, bounded, focus, number, referred] [linear, problem, general, oracle, round, note, method, online, assume, desirable] [constrained, achieves, analysis, consider, design, estimation, theorem, random, solution, heterogeneous]
From random walks to distances on unweighted graphs
Tatsunori Hashimoto, Yi Sun, Tommi Jaakkola

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #74
[motion, work, discrete, three, equivalent, drift] [distance, metric, consistent, based, conference, transformed, prediction, measure, set, international, machine] [spatial, network, word, boundary, connected] [continuous, process, laplace, stochastic, latent, full, family, compare, limiting] [hitting, time, graph, walk, ltht, expected, shortest, brownian, similarity, path, lemma, edge, limit, directed, simple, proof, probability, prove, link, vertex, neighbor, pij, degeneracy, stationary, cgn, number, underlying, corollary, neighborhood, degree, continuum] [large, converges, general, local, step, convergence, ball] [random, theorem, consistency, scaling, robust, unweighted, small, result, analysis, consider, statistical, geometric]
Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci, Philipp Hennig

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Tue Dec 8th 02:50 - 03:30 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #40
[search, probabilistic, initial, three, form, effectively] [learning, machine, evaluation, empirical, existing, cost, international, set, conference, optimal, weak, kind, close, approach, task] [neural, scale, interpolation, mnist, performed] [stochastic, gaussian, process, extrapolation, point, deterministic, bayesian, posterior, computation, test, figure, standard, variational, typically, univariate, approximation, likelihood, bivariate] [algorithm, size, probability, time, adaptive, expected, choice] [gradient, optimization, function, wolfe, sgd, step, rate, pwolfe, strong, direction, cubic, descent, overhead, objective, requires, local, lightweight, convergence, large, batch, linear, method, acceptable, chosen, ktt, note] [noise, error, positive, good, noisy, low, estimation, journal, design, ensures]
Distributed Submodular Cover: Succinctly Summarizing Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Ashwinkumar Badanidiyuru, Andreas Krause

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #65
[ground, constraint, selected, marginal, smallest] [set, submodular, utility, machine, approach, subset, maximization, cost, active, select, learning, andreas, based, optimal, return] [natural, performance, perform, scale] [data, approximation, computation, approximate, applied, varying, standard] [algorithm, greedy, cover, size, number, vertex, graph, monotone, element, access, amin, seek, simple] [function, problem, agd, large, communication, optimum, round, note, assume, coverage, requires, parallel] [solution, distributed, centralized, ree, discover, ard, adc, small, massive, aoc, cardinality, constrained, running, solving, mapreduce, summarization, theorem, desired, selection, well, exemplar, smaller, impractical, baharan]
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #63
[work, factor, state] [learning, consistent, system, select, machine, multiple, paper, existing] [shared, memory, network, computer, deep, arxiv, preprint, neural, read, training, single, architecture] [stochastic, parameter, kth, proposed, asymptotic, university, applied] [algorithm, number, bounded, time, total, achievable, corollary, bound, upper] [asynchronous, parallel, gradient, convergence, speedup, optimization, rate, convex, linear, implementation, coordinate, con, assumption, nonconvex, liu, worker, descent, smooth, iteration, incon, ogwild, denotes, assume, serial, ergodic, agarwal, niu, constant, zhang, steplength, lmax, proved, parallelism, delay, synchronous, considers, additional, update, basically, lock] [analysis, distributed, result, component, denote, matrix, vector, studied, theoretical]
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma
Murat A. Erdogdu

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #73
[transition, form, current] [cost, learning, plot, optimal, based, provide, threshold, set] [natural, performance, generating, operation, arxiv, preprint, include] [estimator, covariance, sample, data, proposed, stochastic, figure, likelihood, multivariate, point, classical, approximate, gaussian, distribution] [algorithm, size, bounded, bound, lemma, probability, number, observe, upper, maximum, structure] [convergence, method, newst, linear, hessian, rate, newton, step, gradient, second, quadratic, optimization, function, problem, bfgs, logistic, agd, lbfgs, descent, covariates, curvature, main, generalized, update, inverse, glm, iterates, constant, assume, large] [matrix, estimation, order, phase, random, scaling, theorem, cumulant, glms, theoretical, rank, journal, consider, vector]
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width
Christopher M. De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré

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[abstract]

Spotlight: Tue Dec 8th 03:30 - 04:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #47
[factor, gibbs, width, hierarchy, hypertree, template, voting, hierarchical, logical, ratio, variable, inference, marginal, semantics, energy, markov, mix, instantiated, rapidly, probabilistic, christopher, bounding, exact, wfi, rapid, work, statement, wti, assignment, sampler, treewidth, called, motivated, belief, quality, exhibit] [class, set, example, behavior] [weight, object, single, dataset, produce, better, head, semantic, connected] [sampling, model, figure, distribution, synthetic, standard, estimate, david, exponential, true, prior] [graph, time, bounded, mixing, number, maximum, lemma, bound, property, tmix, path, focus, degree] [linear, function, max, convergence, base, fast] [polynomial, result, theorem, error, denote, depends, theoretical, high, min]
Latent Bayesian melding for integrating individual and population models
Mingjun Zhong, Nigel Goddard, Charles Sutton

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 03:30 - 04:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #25
[energy, melding, appliance, variable, disaggregation, aggregate, consumption, electricity, duration, represents, lbm, state, inference, xit, joint, cae, nde, dae, afhmm, interested, represented, sit, denoted, sitk, usage, logarithmic, sae, incorporating, markov, selected] [individual, approach, learning, based, machine] [modelling, table, bias, represent] [model, prior, bayesian, latent, data, distribution, population, posterior, deterministic, applied, employ, simulation, summary, log, modelled, source, approximate, synthetic, derived, conditional, gaussian, integrating] [number, total, time, case, study] [method, problem, assume, function, apply, regularization, generalized, improved] [error, signal, denote, statistical, random, moment, component, idea, application, additive]
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes
Ryan J. Giordano, Tamara Broderick, Michael I. Jordan

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[abstract]

Spotlight: Tue Dec 8th 03:30 - 04:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #39
[gibbs, form, inference, formula, marginal] [response, bayes, learning, machine, set, range, optimal, respect, plot, provide] [neural, boltzmann, mnist] [mfvb, lrvb, covariance, variational, data, model, posterior, exponential, log, standard, distribution, approximation, family, mcmc, uncertainty, bayesian, multivariate, gaussian, mixture, accurate, estimated, parameter, true, approximating, full, figure, estimate, normal, simulated, sampling, ept, point, simulation, demonstrate, indep, latent, prior, poisson, mcmcglmm] [time, number, focus, calculate] [linear, assumption, assume, inverse, method, fast, function, optimization, berkeley, linearly, call] [matrix, appendix, statistical, component, scaling, random, journal, consider, well, condition, solution, vector, design, dimension, denote]
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Rodriguez, Shuang Li, Hongyuan Zha, Le Song

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Tue Dec 8th 02:50 - 03:30 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #23
[node, joint, fit, term, corresponding, window, directly, occurrence, counting, created, explicitly, list] [history, empirical, historical, allows, set, destination, real] [network, temporal, modeling, dataset, generated, generate, performance, previous] [model, diffusion, retweet, intensity, source, process, event, point, creation, retweets, evolution, hawkes, figure, data, coevolutionary, triggering, observed, retweeting, log, survival, twitter, distribution, followees, stochastic, trf, poisson, sample, weng, simulation, conditional, synthetic, change] [link, time, social, number, cascade, diameter, algorithm, follow, degree, size, structure, probability, depend] [online, large, function, note, simply] [matrix, appendix, small, sparsity, consider, design]
Data Generation as Sequential Decision Making
Philip Bachman, Doina Precup

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 03:30 - 04:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #35
[state, search, decision, form, making, template, construct, observation, initial, work, interpreted] [policy, imputation, guide, learning, trajectory, guided, primary, minimize, conference, international, machine, based, supplementary, approach, material, mdp, determined, gpsi, existing, unconditional, tfd, set, sergey, interpret, guess, multiple, terminal] [indicates, train, training, missing, neural, deep, tested, trained, performance, trainable, autoregressive, lstm, mnist, vae, network] [distribution, model, generative, log, sequential, variational, process, test, data, stochastic, latent, standard, computed] [directed, bound, time, lower, complete, partial, selects] [step, objective, update, function] [diagonal, sampled, consider, random]
Automatic Variational Inference in Stan
Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman, David Blei

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 03:30 - 04:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #34
[inference, variable, probabilistic, hierarchical, joint, dirichlet, gamma, programming, discrete, explore, accuracy] [real, space, machine, average, learning, class, john, set, transforms] [dataset, original, transformation] [variational, advi, model, latent, log, gaussian, approximation, automatic, predictive, density, posterior, stochastic, figure, stan, mixture, nonconjugate, prior, standard, likelihood, approximate, data, elbo, bayesian, poisson, family, det, monte, carlo, david, exponential, expectation, university, continuous, hmc, approximating, mcmc, conjugate] [probability, algorithm, study, maximize, number, size] [support, regression, coordinate, linear, gradient, large, max, function, minibatch, logistic, arg, optimization, iteration] [appendix, factorization, matrix, consider, journal, statistical]
Adversarial Prediction Games for Multivariate Losses
Hong Wang, Wei Xing, Kaiser Asif, Brian Ziebart

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #54
[constraint, variable, pure, construct] [set, prediction, precision, response, approach, dcg, conference, mpg, learning, machine, structured, empirical, risk, international, vbr, measure, evaluation, based, score, predictor, adult] [performance, training, better, predicted, dataset, generation, table, neural, processing] [multivariate, data, employ, distribution, parameter, computational, approximation, test] [game, best, player, algorithm, equilibrium, payoff, adversarial, item, number, ranking, size, strategy, nash, action] [loss, lagrangian, optimization, convex, method, function, problem, large, reduced, support, max, minimization, optimizing] [vector, matrix, min, order, additive, positive, retrieval, solving]
Rate-Agnostic (Causal) Structure Learning
Sergey Plis, David Danks, Cynthia Freeman, Vince Calhoun

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #57
[three, add, search, equivalence, inference, candidate, corresponding, markov, singleton, tree, ground, key, graphical] [learning, system, conference, set, empty, provide, return, class] [stage, generated, single, learn, appropriate] [figure, density, dynamic, series, data, david, typically, uncertainty, model] [causal, graph, structure, algorithm, raslil, time, raslie, timescale, edge, vjt, raslre, size, undersampled, directed, focus, iff, number, simple, undersampling, occurs, rasl, vit, svar, unknown, underlying, path, bidirected, causality, constrain, underdetermination, annual, forall, sccs, utrue, scc] [assume, rate, stopping, faster, rule, loop, function, problem, core] [measurement, random, theorem, compressed, estimation, provided, consider, vector, order, result, journal, denote]
Halting in Random Walk Kernels
Mahito Sugiyama, Karsten Borgwardt

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #56
[accuracy, occur, denoted, contribution] [label, datasets, learning, machine, set, score, average, international, relationship, based, employed, close, conference, prediction, respective] [length, benchmark, longer, future, unseen, dataset, baseline] [kernel, parameter, figure, empirically, completely, equation, matching, distribution, compared, difference, data] [walk, graph, kgr, halting, vertex, maximum, kvh, number, edge, similarity, comparison, histogram, kveh, pair, keh, corollary, degree, phenomenon, tottering, kwl, simple, bound, occurs, upper, dominated] [linear, converges, theoretically] [random, geometric, theoretical, popular, small, product, theorem, matrix, vector, adjacency]
Fast Two-Sample Testing with Analytic Representations of Probability Measures
Kacper P. Chwialkowski, Aaditya Ramdas, Dino Sejdinovic, Arthur Gretton

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #53
[variable, song] [based, empirical, space, distance, real, hypothesis, metric, consistent, class, cost, measure, set] [embedding, embeddings, dataset, representation, single, challenging, better, performance] [test, characteristic, kernel, mmd, analytic, difference, distribution, sample, figure, higgs, data, fourier, integrable, hilbert, computational, rkhs, gaussian, frequency, covariance, reproducing, null, statistic, computation, modulated, parameter, metrization] [probability, number, testing, time, surely, proposition, size, choice, calculate, complexity, smoothed] [smooth, function, linear, inverse, presented, smoothing, advantage, larger, chosen, problem] [power, random, block, statistical, dimensional, vector, consider, matrix, distributed, result, theorem, journal, high, randomly]
M-Statistic for Kernel Change-Point Detection
Shuang Li, Yao Xie, Hanjun Dai, Le Song

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #52
[reference, form, theory, ratio, construct] [threshold, average, based, real, detect, hypothesis, computationally, empirical, machine, location] [detection, performance, speech, length, activity, level] [data, bmax, test, null, kernel, statistic, background, distribution, sample, estimate, gaussian, approximation, change, accurate, point, seismic, detecting, variance, corresponds, parameter, typically, arl, sequential, skewness, nonparametric, normal, proposed, simulation, computational, edd] [size, time, probability, maximum, setting, case, algorithm, expected, graph] [online, function, max, large, larger, amount, stopping, compute, assume] [block, theorem, random, tail, signal, alternative, small, theoretical, well, order, characterize, design]
Regressive Virtual Metric Learning
Michaël Perrot, Amaury Habrard

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #55
[form, corresponding, associated, state, work] [learning, metric, virtual, approach, set, space, optimal, propose, example, distance, class, kernelized, transport, risk, learned, based, closer, landmark, empirical, close, priori, showing, psd, lmnn, allowing, llt, dissimilar, goal, provide, mahalanobis, yij, bring, respect, vvt, datasets, allows] [learn, input, training, representation, output, perform, better, art, table] [classical, point, kernel, true] [number, best, algorithm, probability, neighbor, similarity, case, competitive, access] [linear, problem, method, second, note, closed, margin, regression, main, presented, function, linearly] [matrix, consider, solution, high, idea, theorem, result, dimensional, dimension, selection, vector, version, consistency, small, theoretical]
Attention-Based Models for Speech Recognition
Jan K. Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, Yoshua Bengio

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #5
[mechanism, beam, work, considered, width, search, scoring, window] [learning, machine, location, set, based, issue, produced, propose, select] [attention, speech, sequence, neural, alignment, recurrent, input, baseline, phoneme, long, recognition, network, convolutional, training, decoding, sharpening, longer, feature, deep, single, generator, output, trained, weight, timit, arsg, previous, performance, rnn, generation, content, language, translation, transducer, encoder, handwriting, acoustic, image, glimpse, concatenating, ctc, windowing, memory, visual, attend, short, representation, better, caption, length] [model, proposed, hybrid, test, figure, applied, procedure] [focus, time, case, adaptive, clearly] [rate, step, smoothing, smooth] [error, vector]
Fast and Accurate Inference of Plackett–Luce Models
Lucas Maystre, Matthias Grossglauser

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #49
[markov, inference, transition, work, breaking, aggregating, formulation] [set, provide, supplementary, international, propose] [performance, table, dataset] [model, estimate, distribution, data, approximate, log, perspective, estimator, axiom, proposed, computational, centrality, figure, invariant] [pairwise, algorithm, stationary, choice, lsr, ranking, case, chain, partial, time, item, number, comparison, observe, erms, luce, simple, bound, graph, proof, sushi, chess, nascar, winning, hajek] [rate, convergence, method, converges, assumption, iteration, generalized, general, gap] [spectral, rank, statistical, running, consider, error, independent, azari, order, iterative, analysis, alternative, matrix, random, denote, journal, unique]
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
Vivien Seguy, Marco Cuturi

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #48
[map, three, supported] [optimal, wasserstein, geodesic, space, transport, velocity, measure, approach, propose, tangent, set, curve, displayed, distance, metric, mass, riemannian, marco, bigot, subset, empirical, mzt, gabriel, boissard, barycentric, agueh, dimensionality] [color, image, input, dataset, described, parameterized, mnist, single] [family, figure, variability, proposed, computation, hilbert, point, exponential, left, approximate] [probability, time, exists, simple] [compute, generalized, euclidean, problem, gradient, mapping, convex, second, projected, method, linear, objective, mathematical, regularized, step, operator, computing, update, splitting] [principal, pca, component, vector, projection, journal, analysis, min, consider, argmin, transportation, orthogonality, matrix]
Learning with Relaxed Supervision
Jacob Steinhardt, Percy S. Liang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #51
[constraint, inference, accuracy, tractability, tractable, rejection, relaxed, exact, relaxing, predicate, jointly, linguistics, association, affect, unrelaxed, dapt, factor] [learning, set, needed, learned, example, machine, framework, structured, approach, minimize] [supervision, semantic, sentence, input, output, word, learn, feature, subject, vocabulary, processing, translation, original, length, program] [model, computational, intractable, data, expectation, family, computation, figure, parameter, estimate, latent, sample, asymptotic, distribution, true, drawn, exponential, log, dynamic] [algorithm, number, exp, bound, probability, proposition, adaptive, budget] [loss, def, assume, optimizing, amount, optimize, note, large, penalty, minimizing, interest, general, ensure, function, inverse] [relaxation, statistical, suppose, well, consider, order, constrained, analysis, smaller]
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
Dominik Rothenhäusler, Christina Heinze, Jonas Peters, Nicolai Meinshausen

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #50
[ing, three, cycle, mechanism, variable, joint, intelligence, identical, strictly, called, equal, assignment] [learning, location, stability, conference, set, experimental, environment, recall, machine, precision, empirical] [hidden, strength] [data, estimate, model, covariance, figure, shift, variance, estimated, point, series, latent, population] [intervention, setting, hift, causal, equilibrium, shd, time, connectivity, graph, edge, observational, dax, case, plcg, jnk, number, nasdaq, radius, pkc, cytometry, structure, algorithm] [cyclic, linear, assumption, assume, method, problem] [matrix, diagonal, random, journal, noise, condition, smaller, appendix, product, selection, consider, solution, spectral, error, independent]
End-To-End Memory Networks
Sainbayar Sukhbaatar, arthur szlam, Jason Weston, Rob Fergus

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Wed Dec 9th 10:55 - 11:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #7
[joint, position, work, start, internal, form] [multiple, learning, set, approach, john, external] [memory, training, neural, output, embedding, hop, input, weight, network, layer, question, language, word, recurrent, sentence, trained, answer, supporting, rnn, attention, single, penn, hidden, representation, performance, arxiv, supervised, rnns, softmax, encoding, lstm, tying, mary, reasoning, temporal, sam, answering, memnn, treebank, architecture, modeling, table, sequence, vocabulary] [model, test, continuous, computational, proposed] [number, size, time] [linear, note, rate, large] [vector, matrix, random, version, error, norm]
SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals
Qing Sun, Dhruv Batra

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #7
[diversity, search, bounding, window, reference, marginal, box, priority, relevance, lazy, work, selective, largest, formulation, formulate, submodboxes, objectness, rectangular, enumeration, highest, augmentation, tree, diverse, ground, abo, key, edgeboxes, subwindow, mabo, group, rectangle, novel, split] [set, submodular, approach, gain, heuristic, queue, space, maximization, weighting, goal, generalization, score, structured, multiple, maximizing, learning, argmax] [object, proposal, performance, pascal, voc, sliding, detection, output, image, single, generation, perform] [proposed, figure, classical, speed] [greedy, number, edge, monotone, item, algorithm, best, bound, vertex, upper] [function, chosen, step, objective, problem, optimization, coordinate] [application, special, constrained]
Rethinking LDA: Moment Matching for Discrete ICA
Anastasia Podosinnikova, Francis Bach, Simon Lacoste-Julien

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #39
[lda, topic, document, joint, discrete, dirichlet, inference, variable, refer, multinomial, probabilistic] [set, real, learned, learning, based, evaluation] [length, performance, dataset, better, token] [model, sample, latent, sampling, parameter, data, variational, matching, figure, estimate, poisson, compare, standard, generative, expectation, variance] [algorithm, number, structure, comparison, expected, complexity, case, choice] [method, derive, note] [appendix, cumulants, matrix, diagonalization, tensor, error, vector, independent, ica, spectral, sampled, component, random, orthogonal, estimation, diagonal, dica, moment, analysis, theoretical, recovery, cumulant, blind, well, smaller, projection, order, pca, fastica]
Efficient and Robust Automated Machine Learning
Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum, Frank Hutter

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #20
[balanced, construction, work, cash, decision, joint, three] [learning, machine, automl, ensemble, datasets, hyperparameter, preprocessing, system, set, supplementary, framework, space, automated, select, dtrain, bayes, approach, vanilla, openml, individual, average, based, statistically, evaluated, preprocessors, material, evaluation, preprocessor, range, smac, forest, effective, measure, combined] [performance, feature, dataset, table, single, perform, previous, performed] [bayesian, data, hyperparameters, figure, test, kernel, model, median] [best, time, algorithm, number, study] [optimization, problem, method, note, optimizing, rate, svm, linear, strong, gradient, fast, boosting, general] [error, selection, random, robust, well, good, rank, pca]
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
Peter Schulam, Suchi Saria

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #21
[marginal, conditioned, hierarchical, making, hierarchy] [disease, individual, subtype, trajectory, prediction, marker, subpopulation, lung, clinical, structured, xip, approach, subtypes, course, heterogeneity, pfvc, xiz, kou, dynamically, learning, respect, basis, predicting, tij, rdp, plot, scleroderma, longitudinal, yij, year, set, decline] [baseline, activity, predict, predicted, strength] [model, population, data, observed, proposed, posterior, latent, figure, gaussian, expectation, predictive, dynamic, prior, measured, mixture, covariance, process, kernel, normal, variability, distribution, expansion] [time, number, probability, outcome] [function, covariates, linear, regression, note, compute, second] [noise, component, denote, matrix, analysis]
Equilibrated adaptive learning rates for non-convex optimization
Yann Dauphin, Harm de Vries, Yoshua Bengio

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 05:40 - 06:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #27
[negative, work, factor, equal, reduces, sum] [learning, success, provide, transformed, cost] [neural, deep, training, better, mnist, original, performance, arxiv, described, reduce, slow, preprint] [figure, point, stochastic, difference, change, estimator, proposed, approximation, numerical, computational] [adaptive, number, bound, proposition, proof, upper, element, observe, algorithm] [equilibration, hessian, jacobi, gradient, preconditioner, rmsprop, rate, preconditioning, function, curvature, saddle, optimization, equilibrated, large, method, descent, absolute, sgd, step, preconditioners, suited, momentum, problem, update, preconditioned, linear, direction, note, convex, esgd, inverse] [matrix, condition, diagonal, positive, row, well, theoretical, order, random, high, small, column, vector]
Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis Barbour, John P. Cunningham

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #19
[hearing, nihl, healthy, candidate, tone, correct, observation, patient, evidence, work, ground, making, selected, inference, inferred] [active, learning, approach, set, hyperparameter, machine, actively, entropy, criterion, clinical, query, learned, select, goal, space, medical] [detection, feature, human, performed, better] [model, audiometric, posterior, gaussian, notch, predictive, approximation, prior, distribution, bayesian, standard, process, log, typically, data, hyperparameters, normal, audiogram, figure, kernel, simulated, proposed, laplace, latent, parameter, gardner, approximate, test, covariance, university, frequency, mhealthy, intensity, uncertainty, diagnostic, mgp] [probability, algorithm, testing, number] [function, method, loss, compute, note, requires, linear, iteration] [selection, random, journal, arbitrary, diagnosis]
Streaming, Distributed Variational Inference for Bayesian Nonparametrics
Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #31
[inference, node, dirichlet, bnp, solved, intermediate, updated, michael, quality, hierarchical, work, topic] [set, paper, framework, learning, conference, based] [processing, neural, dataset, methodology, feature] [posterior, variational, central, model, mixture, data, process, bayesian, figure, proposed, matching, log, nonparametric, test, likelihood, prior, david, parameter, latent, true, computation, synthetic, stochastic, approximation, sequential, minibatches, distribution, varying, airplane] [number, bound, time, lower, ordering, size, algorithm, increasing, complexity] [minibatch, optimization, regularization, parallel, problem, objective, asynchronous, mapping, update, online, cpu, compute, sun, max] [component, distributed, decomposition, cluster, streaming, journal, application]
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
David I. Inouye, Pradeep K. Ravikumar, Inderjit S. Dhillon

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #32
[topic, lpmrf, multinomial, partition, pmrf, lda, gibbs, mrf, perplexity, library, timing, term, interesting, domain, negative, outperforms, document, form, sum, apm, tpmrf, admixture, joint, novel, binomial, work] [generalization, set, empirical, propose, allows, provide, based, weighting] [word, length, boundary, layer, dataset, described] [distribution, model, poisson, log, sampling, likelihood, parameter, test, estimate, dependency, approximation, proposed, prior, estimating, sample, drawn, develop, parametric, estimated, compare, figure] [number, simple, algorithm, upper, bound, time] [function, top, optimization, base, compute, quadratic, linear, problem, constant] [positive, estimation, independent, small, good, scaling, matrix, truncated, vector]
Gaussian Process Random Fields
David Moore, Stuart J. Russell

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #29
[marginal, inference, exact, partition, intelligence, variable, belief, work, loopy, corresponding] [machine, learning, set, location, precision, international, approach, conference, paper] [training, spatial, input, neural] [gaussian, gprf, process, full, likelihood, gps, model, approximation, inducing, latent, event, qgp, synthetic, figure, covariance, bayesian, log, approximate, seismic, distribution, data, test, committee, neil, bcm, fitc, hyperparameters, standard, predictive, typically, kernel, lengthscale, prior] [pairwise, time, number, edge, complexity, best, probability, case] [local, function, large, objective, optimization, regression, global, involves, fast, requires] [random, matrix, error, independent, sparse, block, noise, noisy, jij, well, consider, solution]
MCMC for Variationally Sparse Gaussian Processes
James Hensman, Alexander G. Matthews, Maurizio Filippone, Zoubin Ghahramani

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #30
[inference, gibbs, sampler, grid, form, appears, three, decision, work, term] [optimal, based, approach, improvement, effective, paper, binary, learning] [performance, initialized, single, neural, mnist] [gaussian, inducing, variational, approximation, covariance, log, posterior, process, point, sampling, hmc, data, latent, figure, bayesian, mcmc, distribution, approximate, estimate, likelihood, stochastic, proposed, full, sample, tuned, true, model, prior, lengthscale, monte, computation, poisson, whilst, pine, university, divergence, standard, rbf] [number, strategy, clear, expected, case] [function, scheme, large, free, method, optimized, optimization, general, additional] [sparse, vector, matrix, well, solution, ard]
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar, Zoltan Szabo, Lars Buesing, Maneesh Sahani

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #29
[probabilistic, variable, corresponding, construct, extension, current, inference, map] [manifold, space, locally, dimensionality, tangent, query, set, approach, average, reduction, based, example, provide] [weather, laplacian, representation, embedding, evaluate] [latent, data, model, variational, posterior, log, likelihood, digit, neighbourhood, prior, gaussian, distribution, process, isomap, point, figure, lle, maximising, jth, true, neighbouring, estimate, generative, drawn, monthly, rdy, multivariate, introduce] [lower, bound, graph, algorithm, structure, exp, expected, discovery, depend, element] [linear, local, mapping, global, step, function, assume, chosen, computing, method] [matrix, vector, ith, error, random, norm, high]
A fast, universal algorithm to learn parametric nonlinear embeddings
Miguel A. Carreira-Perpinan, Max Vladymyrov

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #28
[auxiliary, term, nested, evaluating, solved] [learning, based, existing, dimensionality, set, entire, cost] [embedding, neural, embeddings, training, net, code, deep, laplacian, input, dataset, learn] [parametric, nonlinear, data, family, approximate, log, stochastic, conjugate, test] [algorithm, direct, path, number, time, chain, feasible, neighbor, increasing] [mapping, objective, free, gradient, linear, optimization, step, function, mac, optimizing, method, local, elastic, fast, minimizer, direction, optimize, problem, faster, descent, apply, iteration, regression, compute, second, regularization, derive, eigenmaps, solve, quadratic, computing, rule, multipole] [spectral, error, runtime, relative, constrained, theorem, well, solution, small, der]
Space-Time Local Embeddings
Ke Sun, Jun Wang, Alexandros Kalousis, Stephane Marchand-Maillet

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #27
[corresponding, represented, negative, project, discovered, dissimilarity, represents] [space, snest, learning, dimensionality, distance, based, metric, real, caij, sne, knds, manifold, eet, nearest, curve, sensitive, reduction, range, proximity, school, preserved, approach, faithful] [embedding, input, embeddings, representation, visual, word, better, concept, represent, visualization, learn, red] [point, figure, model, mixture, data, divergence, kernel, proposed, meaning, light, university] [time, pij, number, similarity, interval, neighbor, common, basic, uniform, neighborhood, radius, maximum] [large, euclidean, absolute, mapping, local, direction, free] [matrix, small, positive, kij]
Robust Spectral Inference for Joint Stochastic Matrix Factorization
Moontae Lee, David Bindel, David Mimno

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #26
[anchor, topic, probabilistic, gibbs, psdn, inference, dominancy, jsmf, negative, quality, coherence, selected, joint, bab, corresponding, work, dissimilarity] [set, basis, example, space, based, learning, empirical, real, subset, separability, conference] [better, baseline, word, training, object, hidden, layer, original, corpus, neuron, table, third, rare, neural] [approximation, figure, model, latent, cell, data, distribution, doubly, david, posterior] [algorithm, number, probability] [convergence, convex, large, second, method, note] [matrix, cluster, diagonal, factorization, spectral, alternating, noise, small, projection, rank, positive, recovery, error, signal, random, provable]
M-Best-Diverse Labelings for Submodular Energies and Beyond
Alexander Kirillov, Dmytro Shlezinger, Dmitry P. Vetrov, Carsten Rother, Bogdan Savchynskyy

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #33
[diversity, energy, inference, corresponding, diverse, labelings, divmbest, quality, graphical, form, permutation, enforcing, ordered, formulation, called, initial, node, exact, considered, factor, joint, outperform, contrary, associated, markov, sum, formulated, challenge, work, map, applicable, discrete] [submodular, measure, set, hamming, submodularity, based, distance, label, structured, interactive, optimal] [segmentation, single, higher, pascal, better, voc, contrast] [model, sequential, proposed, procedure] [best, implies, case, pairwise, time, graph, ordering, algorithm, total, lemma, maximum, minimum] [problem, method, minimization, technique, function] [order, theorem, solution, consider, provided]
Max-Margin Majority Voting for Learning from Crowds
TIAN TIAN, Jun Zhu

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #32
[voting, inference, potential, gibbs, infer, directly, largest, probabilistic, work, accuracy] [majority, label, task, entropy, confusion, learning, score, datasets, vanilla, multiple, web, age, hyperplane, distance, set, improve] [discriminative, better, labeled, labeling, performance, effectiveness, ability, modeling, table] [true, bayesian, model, estimator, posterior, generative, data, aggregated, likelihood, distribution, prior, tsinghua, standard, estimate, point, considering] [minimax, algorithm, unknown, inf, item] [worker, crowdsvm, margin, problem, regularization, crowdsourcing, large, rate, method, note, dual, svm, iwmv, njkd, max, local, national, discriminant] [error, vector, weighted, estimation, solving, noisy, iterative, denote, alternative, provided, special]
Discriminative Robust Transformation Learning
Jiaji Huang, Qiang Qiu, Guillermo Sapiro, Robert Calderbank

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #31
[accuracy, work, denoted, balancing, partition, formulation, partitioned] [learning, metric, generalization, learned, set, robustness, transformed, framework, remp, distance, class, dml, discrimination, space, conference, empirical, example, achieved, deepface, subset, measure, drt, nearest, paper, experimental] [training, transform, face, deep, network, discriminative, neural, feature, computer, pattern, vision, table, recognition, labeled, original, performance, mnist, processing] [data, proposed, figure, test, compare, difference] [number, algorithm, pair, covering, testing, diameter, cover, pairwise, bound] [loss, local, objective, linear, function, compute, note, general, initialize] [error, robust, small, smaller, theoretical, ieee, denote, consider]
Local Causal Discovery of Direct Causes and Effects
Tian Gao, Qiang Ji

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #30
[variable, node, markov, directly, conditioned, equivalent, form, child, ancestor, accuracy] [set, learning, respect, existing, subset, learned, machine, propose] [represent, network, connected, single, labeled, fully, benchmark] [target, data, bayesian, figure, conditional, standard, latent] [causal, idt, discovery, cmb, algorithm, direct, identify, independence, structure, lemma, pair, meek, pct, blanket, path, number, edge, complete, unblocked, graph, ide, complexity, resolve, dag, mbx, directed, idd, reversed, parent, total, morgan, meet, divided, adjacent, alexander, mmhc, constantin, mining] [global, local, step] [condition, selection, order, theorem]
Closed-form Estimators for High-dimensional Generalized Linear Models
Eunho Yang, Aurelie C. Lozano, Pradeep K. Ravikumar

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 05:30 - 06:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #85
[variable, key] [class, response, subset, set, instance, consistent, framework, require, polytope, learning, goal, machine, optimal] [performance, include] [log, parameter, covariance, model, poisson, exponential, estimator, sample, distribution, family, standard, computational, written, sampling, conditional] [number, case, setting, exp, corollary, time] [regression, linear, logistic, regularized, glm, constant, generalized, function, strong, derive, optimization, interior, problem, mapping, general, satisfy, inverse] [mle, statistical, glms, condition, matrix, analysis, theorem, vector, estimation, denote, well, consider, thresholding, error, popular, solving, moment, lem, row, iterative, covariate, consistency, unregularized, required, design, journal, projection, mles]
Learning with a Wasserstein Loss
Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya, Tomaso A. Poggio

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #47
[ground, exact, work, novel, michael, relaxed] [wasserstein, distance, learning, transport, metric, optimal, cost, prediction, respect, set, risk, measure, flickr, empirical, space, based, label, semantically, tag, paper, earth, describe, mass] [output, semantic, baseline, auc, predicted, image, training, performance, described, encourage, natural, truth, segmentation] [figure, divergence, unnormalized, distribution, log, normalized, proposed, digit, approximation, standard, approximate, posterior] [probability, algorithm, smoothed, case, inf, proposition, similarity, institute, study] [loss, problem, linear, function, regularization, multiclass, smoothness, gradient, note, optimizing, dual, entropic, large, apply, subgradient, logistic, objective, fast, convergence] [matrix, noise, statistical, vector]
Calibrated Structured Prediction
Volodymyr Kuleshov, Percy S. Liang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #26
[map, marginal, decision, three, inference, perfect, accuracy, probabilistic, marginals] [calibration, structured, recalibration, prediction, crf, set, calibrated, forecaster, sharpness, binary, label, ocr, uncalibrated, framework, mrgyj, based, international, approach, conference, predicting, unstructured, cal, machine, space, require] [feature, predict, region, character, speech, train, better, scene, recognition, image, produce, natural, training, optical, predicted, decoding, perform, output, single, trained] [event, true, figure, model, university, raw, accurate, computational, data] [probability, setting, size, chain, depend, graph, number] [margin, multiclass, svm, loss, note, second, additional] [error, well, consider, good, journal, fraction]
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making
Koosha Khalvati, Rajesh P. Rao

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #27
[decision, accuracy, pomdp, state, maker, making, belief, perceptual, motion, coherence, equal, trial, observation, correct, initial, wagering, rsure, discount, reaction, probable, duration, pomdps, michael, markov, factor, partially, evidence, binned, experimenter, agent, hard, transition, terminate, rajesh] [reward, task, based, experimental, set, observable, optimal, discrimination, framework, consistent, environment, cost, control, prediction, history, policy, guess, planning] [subject, predicted, hidden, predict, strength, ability] [model, data, figure, true, bayesian, estimate, uncertainty] [time, probability, action, choice, number, choosing, access, maximize, waiting, dependent] [direction, option, function, choose] [random, journal]
Hidden Technical Debt in Machine Learning Systems
D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-François Crespo, Dan Dennison

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #24
[create, accuracy, directly, making, occur, term, hard] [system, learning, debt, machine, behavior, cost, software, engineering, prediction, external, abstraction, glue, paper, detect, approach, pipeline, automated, undeclared, production, help, costly, international, underutilized, team, live, example, provide, codepaths, static, tempting, response, set, individual, experimental] [code, input, feature, hidden, traditional, level, training, long] [data, model, change, dependency, full, maintaining, detecting, wide, convenient] [common, testing, feedback, case, easy, increase, strategy, monitoring, sigkdd] [technical, problem, strong, correction, strict] [design, small, signal, improving, consider, component, analysis, including, good]
Statistical Model Criticism using Kernel Two Sample Tests
James R. Lloyd, Zoubin Ghahramani

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #25
[belief, performing, inference, work] [hypothesis, class, demonstrated, learning, production, based, approach, consistent] [generated, deep, trained, modelling, rbms, network, generate, neural, learn, performed] [data, model, witness, distribution, criticism, test, mmd, sample, predictive, null, posterior, estimate, kernel, bayesian, density, discrepancy, statistic, abcd, estimated, gaussian, figure, applied, procedure, demonstrate, process, digit, generative, gas, internet, unemployment, mixture, observed, classical, conditional, solar, difference, prior, light, typical] [maximum, discovery, probability, identify] [function, regression, method, apply, large, attempt] [statistical, analysis, cluster, random, high]
Deep Knowledge Tracing
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #22
[state, accuracy, markov, marginal, work] [learning, task, prediction, paper, learned, science, response, datasets, based, conference, binary] [student, exercise, tracing, concept, hidden, khan, neural, dataset, bkt, input, recurrent, rnn, human, answered, predicted, deep, lstm, cognitive, sequence, education, intelligent, performance, modeling, single, rnns, predict, learn, academy, previous, assistments, graphing, answer, network, future, correctly, complex, educational, length, representation, training, interaction, grade, encoding, relevant] [model, latent, data, figure, test, synthetic, standard, user, simulated] [knowledge, time, number, probability, tutoring, best] [linear, problem, large] [dkt, solving, random, vector, order, well]
Deep Temporal Sigmoid Belief Networks for Sequence Modeling
Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson, Lawrence Carin

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #23
[inference, topic, belief, motion, state, sbn, scalable, work, graphical, markov, corresponding, sbns, denoted] [learning, prediction, binary, based, average, supplementary, approach, learned, walking, machine] [hidden, deep, tsbn, temporal, recognition, neural, recurrent, generated, modeling, table, training, layer, rbm, polyphonic, hmsbn, trained, previous, dataset, war, visible, network, described, expressed, bouncing, sequence, boltzmann, odel, learn] [model, variational, generative, sigmoid, data, stochastic, figure, log, dynamic, music, deterministic, capture, conditional, compared, sequential, approximate, sampling, proposed, posterior, distribution, parameter, vmt] [algorithm, lower, time, bound, implemented] [fast, gradient, top, linear] [order, provided, error, running, restricted]
Recognizing retinal ganglion cells in the dark
Emile Richard, Georges A. Goetz, E. J. Chichilnisky

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #20
[type, potential, accuracy, slice, emission, major, initialization, constraint, observation] [learning, prediction, approach, hand, automated, measure, distance, set] [performance, neural, spiking, dictionary, future, unlabeled, visual, labeled, neighboring, table, described, perform] [cell, data, electrical, polarity, figure, rgc, functional, ganglion, isi, retinal, coupling, voltage, eis, primate, parasol, recording, electrode, alternate, distinct, recorded, estimate, interspike, rgcs, midget, electrophysiological, spike, array, ccf] [action, time, size, radius, number, algorithm, pairwise] [method, minimization, minimizing, newton, large, loss] [matrix, completion, random, order, denote, small, positive, high, spectral, well, signal, noise]
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville, Yoshua Bengio

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #21
[state, transition, inference, variable, internal, joint] [learning, set, structured, conference, international, based, machine, consistent, propose, approach] [rnn, hidden, output, vrnn, neural, speech, modelling, recurrent, highly, sequence, natural, generation, handwriting, temporal, vae, network, rnns, blizzard, generate, training, complex, single, train, processing, feature, writing, input, dataset, generating, trained, style] [model, latent, data, standard, variational, distribution, prior, variability, conditional, observed, approximate, gaussian, stochastic, sequential, mixture, proposed, posterior, generative, accent, audio, figure, divergence, typically] [probability, simple, structure, case, lower] [function, mapping, note] [random, row, analysis]
A Theory of Decision Making Under Dynamic Context
Michael Shvartsman, Vaibhav Srivastava, Jonathan D. Cohen

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #18
[context, decision, theory, evidence, sprt, inference, incongruent, accuracy, making, term, ratio, trial, drift, perceptual, internal, congruent, appears, recovers, tof, flanker, type, greet, correct, qualitatively, work, princeton, reduces, congruence, form] [response, task, framework, threshold, space, behavior, psychological, external, existing, optimal, sensor] [neural, human, memory, performance, bias, cognitive] [model, target, log, prior, test, nonlinear, sequential, likelihood, process, continuous, sample, drawn, conditional, dynamic, figure, data, diffusion, bayesian, true, applied] [probability, time, ton, case, simple, focus] [assume, early, function, second, mapping, update, rate] [error, journal, friend, analysis, random, consider, condition, theoretical]
Bidirectional Recurrent Neural Networks as Generative Models
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha T. Karhunen

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #19
[inference, correct, probabilistic, evaluating] [learning, prediction, set, binary, machine, approach, conference, international, individual, task, structured, computationally, based, dimensionality] [missing, neural, rnn, hidden, training, recurrent, gsn, unidirectional, nade, bidirectional, output, rnns, trained, input, reconstruction, performance, unsupervised, evaluate, brnn, deep, train, finland, length, reconstructing, prnn, processing, text, propagated, speech, table, recognition, nll] [data, model, mcmc, test, point, bayesian, distribution, categorical, series, proposed, generative, music, stochastic, figure, wikipedia, reconstructed, sample, sampling, middle, computational] [time, number, probability, complexity, consecutive, structure, chain] [gap, step] [vector, random, order]
Convergence rates of sub-sampled Newton methods
Murat A. Erdogdu, Andrea Montanari

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #77
[form, current, corresponding, selected, largest] [set, based, learning, machine, close, plot, datasets, cost] [performance, arxiv, preprint, neural] [figure, stochastic, proposed, parameter, data, computation, approximation, point, sample] [size, algorithm, case, depend, number, bound, probability, lemma, uniform] [convergence, newsamp, linear, method, rate, hessian, step, gradient, quadratic, assume, iteration, second, optimization, descent, sgd, scheme, newton, large, bfgs, convex, hst, adagrad, note, constant, logistic, problem, curvature, lbfgs, support, agd, composite, absolute, loss, requires, murat, lipschitz] [matrix, order, eigenvalue, rank, theorem, condition, theoretical, analysis, vector, scaling, thresholding, denote, consider]
Consistent Multilabel Classification
Sanmi Koyejo, Nagarajan Natarajan, Pradeep K. Ravikumar, Inderjit S. Dhillon

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #39
[corresponding, marginal, work, joint, constructed, consisting] [multilabel, optimal, metric, binary, micro, consistent, label, bayes, threshold, averaged, learning, respect, instance, utility, machine, hamming, dta, framework, propose, krzysztof, international, conference, macro, eyke, based, set, confusion, existing, eum, measure, weiwei] [performance, training, table, dataset, validation, processing, benchmark, neural] [population, test, data, sample, proposed, distribution, true, synthetic, correspond, standard, computed, estimator, family, university] [algorithm, proposition, observe, focus, probability] [loss, note, general, averaging, multiclass, optimizing, main] [consider, result, theorem, jaccard, analysis, estimation, consistency, theoretical, rank, appendix, random]
Inverse Reinforcement Learning with Locally Consistent Reward Functions
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #38
[state, transition, agent, term, partition, grid, markov, selected, directly, associated] [reward, irl, learning, demonstrated, consistent, trajectory, locally, mlirl, switching, taxi, road, reinforcement, policy, average, optimal, set, multiple, behavior, intention, learned, allows, destination, origin, visited, empirical, produced, approach, improve, observable, driver, apprenticeship, achieved, representing, viterbi, generalization, jbm] [generated, feature, performance, learn, single, represent, modeling] [observed, model, stochastic, gaussian, estimate, estimated, process, log, figure, derived, parameter, bayesian] [algorithm, expert, number, time, unknown, probability, action] [function, generalized, inverse, problem, linear, gradient, iteration, step, denotes, method] [clustering, vector, random, component]
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
Ted Meeds, Max Welling

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #37
[inference, exact, observation, represents, rejection, anytime] [optimal, average, distance, manifold] [include, inside] [posterior, abc, bayesian, omc, monte, procedure, simulator, carlo, sample, jacobian, approximate, sequential, rum, distribution, sampling, figure, smc, variance, volume, embarrassingly, normal, mixture, summary, prior, population, indirect, simulation, deterministic, stochastic, approximation, change, erf, data, university, expensive, discrepancy, model, point, epsilon, draw, computation, jacobians, full, parameter] [case, number, algorithm, uniform, institute] [optimization, assume, problem, parallel, ball, function, large, derive, gradient, note, simply, rate, method, max] [random, independent, vector, small, weighted, journal, statistical, dimensional, error, order]
A Structural Smoothing Framework For Robust Graph Comparison
Pinar Yanardag, S.V.N. Vishwanathan

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #36
[node, discrete, accuracy, subtree, construct, child, work, occupied, outperform, hierarchical, multinomial] [framework, label, based, structured, set, relationship, datasets, statistically, mass, interpolated] [table, vocabulary, language, weight, dataset, original, wij, training, transformation, represent] [kernel, process, event, figure, distribution, draw, model, constructing, frequency, observed] [graph, graphlet, size, smoothed, dag, probability, edge, number, parent, customer, structural, similarity, pij, restaurant, graphlets, fallback, walk, algorithm, multiset, lij, directed, partial, append, total] [smoothing, base, problem, apply, denotes, simply] [order, noise, random, compressed, popular, vector, denote, consider]
Statistical Topological Data Analysis - A Kernel Perspective
Roland Kwitt, Stefan Huber, Marc Niethammer, Weili Lin, Ulrich Bauer

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #43
[map, work, context, refer, form] [metric, space, set, learning, hypothesis, respect, measure, based, distance, approach] [embedding, feature, lateral, brain, complex, scale, scalar, representation] [persistence, kernel, persistent, hks, data, topological, hilbert, homology, test, point, compact, diagram, summary, synthetic, rkhs, sample, continuous, surface, tda, reproducing, typically, signature, ventricle, reininghaus] [probability, time, testing, treatment, structure, banach, heat, proposition, choice, study, prove, case] [function, universal, support, problem, note, compute, limited] [statistical, positive, analysis, theorem, consider, vector, random, denote, solution, suitable, product]
Efficient Non-greedy Optimization of Decision Trees
Mohammad Norouzi, Maxwell Collins, Matthew A. Johnson, David J. Fleet, Pushmeet Kohli

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #42
[tree, decision, split, leaf, depth, inference, internal, node, accuracy, formulation, work, key, form, induction, oblique, term, joint, alg, bennett, formulate] [learning, binary, empirical, based, structured, prediction, machine, approach, surrogate, set, navigation, optimal, generalization, multiple, argmax] [training, better, single, input, computer] [latent, data, test, stochastic, parameter, model, procedure, computational, figure, introduce, log] [bound, upper, greedy, number, algorithm, time, path, complexity] [loss, optimization, function, gradient, max, objective, sgd, global, method, fast, regularization, problem, descent, note, larger, solve, computing, linear, optimized] [vector, norm, random, row]
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks
Cengiz Pehlevan, Dmitri Chklovskii

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #41
[three, corresponding, updated, form, biological, formulate, map, theory] [dimensionality, learning, plausible, reduction, optimal, threshold, set] [neural, output, input, network, activity, synaptic, sensory, neuronal, biologically, neuron, interneurons, normative, multidimensional, performance] [covariance, data, figure, derived, sample] [number, algorithm, time, setting, similarity, minimax, adaptive, implemented] [online, objective, optimization, problem, local, arg, function, assume, presented, linear, convex, max, derive, chosen, top, second] [principal, matrix, subspace, min, eigenvalue, error, diag, consider, analysis, hebbian, solution, projection, sparse, equalization, component, keeping]
Is Approval Voting Optimal Given Approval Votes?
Ariel D. Procaccia, Nisarg Shah

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #40
[voting, denoted, ground, accuracy, position, aggregating, opinion, aggregate, broken, type] [set, distance, displacement, optimal, framework, science, mechanical, learning, maximizing] [level, learn, training, boundary, generated, answer, truth] [model, true, likelihood, drawn, parameter, estimate, normalization] [best, ranking, number, probability, maximum, social, choice, case, voter, proof, implies, total, winner, exists, underlying] [note, rule, function, simply, minimizing, top, assumption, online, reasonable] [approval, alternative, mle, noise, dkt, dfr, vote, denote, theorem, approved, high, kendall, plurality, result, tau, dhm, dcy, noisy, condition, consider, theoretical, appendix, veto, exactly, popular]
Softstar: Heuristic-Guided Probabilistic Inference
Mathew Monfort, Brenden M. Lake, Brenden M. Lake, Brian Ziebart, Patrick Lucey, Josh Tenenbaum

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #45
[state, search, decision, inference, soft, probabilistic, priority] [set, softmin, optimal, hsoft, ioc, dsoft, cost, distance, heuristic, learning, control, entropy, softened, goal, ent, approach, international, behavior, planning, conference, machine, soccer, softstar, based, queue, subset, task, demonstrated, reinforcement, andrew, science, brian, fsoft, space, employed, uncovered] [character, training, feature, forward, single] [approximation, approximate, predictive, distribution, estimate, sampling, model, process, test, figure, data, log, sequential, mcmc, proposed] [path, algorithm, action, maximum, bounded, expected, bound, graph, number, edge, remaining, regime] [inverse, function, large, max, method] [error, theorem, min, estimation]
Variational Consensus Monte Carlo
Maxim Rabinovich, Elaine Angelino, Michael I. Jordan

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #44
[inference, work, form, relaxed] [bayes, entropy, machine, conference, learning, cost, structured, set] [processing, neural] [variational, aggregation, vcmc, data, monte, model, carlo, mcmc, approximation, cmc, gaussian, posterior, stochastic, subposterior, approximate, bayesian, figure, log, computational, mixture, scott, distribution, latent, sample, parameter, estimate, compared, full, probit, family, sampling, comembership, density, lvb, test, subposteriors, conditional] [algorithm, uniform, partial, concavity, lower, adaptive] [function, optimization, serial, objective, problem, consensus, parallel, averaging, second, concave, gradient, step, large, denotes, note, speedup, core] [error, relative, cluster, vector, matrix, suppose, including, wishart, moment]
Accelerated Proximal Gradient Methods for Nonconvex Programming
Huan Li, Zhouchen Lin

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #96
[accumulation, search, correct, reweighted, extend, form] [proper, machine, propose, supplementary, average, paper] [image, table, consists, include] [point, computed, continuous, computation, test, difference, proposed] [algorithm, monotone, critical, number, property, time, exists, case, lower, follow] [nonconvex, convergence, apg, convex, function, descent, gradient, proximal, nonsmooth, objective, general, nonmonotone, rate, accelerated, method, problem, ifb, beck, nmapg, lipschitz, gist, larger, assume, monitor, ensure, satisfy, iteration, penalty, optimization, accelerate, minimization, stepsizes, china, inertial, uag, mapg, mapping, siam, logistic, satisfying, desingularising, mgist, shrinkage] [theorem, sparse, result, journal, iterative, solving, good, rank, selection, bad, analysis, smaller]
Nearly Optimal Private LASSO
Kunal Talwar, Abhradeep Thakurta, Li Zhang

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #97
[constraint, width, mechanism, work, logarithmic, domain] [risk, set, optimal, empirical, learning, generalization, respect, select, polytope] [input] [data, gaussian, exponential, model, log, compared, approximate, classical] [algorithm, bound, dependence, case, bounded, prove, proof, number, probability, setting, depend, upper, study, fact, lemma, exists, corollary] [loss, convex, linear, function, consensus, excess, variant, problem, constant, strong, large, online, regression, general, remark, assumption, objective, optimization, quadratic, analyze, assume, randomness, apply, curvature] [private, privacy, lasso, theorem, differentially, error, min, differential, sparse, matrix, polynomial, vector, version, sign, column, small, design, row, norm, guarantee, achieves, depends, suppose, consider]
Combinatorial Cascading Bandits
Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvari

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #90
[agent, work, list, ground, three, novel, formulated] [learning, reward, set, conference, optimal, international, machine, based, binary, propose, goal] [network, weight, experiment, modeling, evaluate, learn] [stochastic, model, figure, observed, distribution, user, log] [combcascade, combinatorial, regret, cascading, item, time, feasible, routing, feedback, probability, algorithm, upper, expected, path, kveton, partial, chooses, link, observe, monitoring, number, prove, branislav, suboptimal, independence, azin, observes, csaba, lower, bound, zheng, bounded] [problem, function, linear, arg, chosen, max, optimization, assumption, step, assume, online] [solution, min, analysis, studied, theorem, random, ieee, maximizes]
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
Tom Goldstein, Min Li, Xiaoming Yuan

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #91
[scaled, form, involving, formulation, theory, term] [set, respect, cost, select, science] [image, sequence, performance, generated, table, kong] [hybrid, data, university, test, figure] [adaptive, algorithm, lemma, total, variation, case, prove, bound] [pdhg, convergence, method, stepsize, gradient, kuk, dual, primal, problem, stepsizes, admm, large, max, linear, backtracking, iterates, satisfy, iteration, direction, optimization, convex, rate, fast, constant, splitting, choose, adaptivity, assumption, note, arg, step, analyze, applying, requires, inverse, presented, apply] [lasso, min, solution, alternating, condition, vector, residual, guarantee, statistical, matrix, sparse, journal, compressive, consider, small, imaging, solving]
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
Xinyang Yi, Constantine Caramanis

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #88
[work, term, key, decomposable, martin, variable, constraint, theory, initial] [require, set, exist, provide, framework, respect] [missing, arxiv, preprint, sequence, ultimate, single] [log, parameter, latent, gaussian, population, model, mixture, distribution, figure, sample, data, standard, likelihood] [algorithm, number, probability, setting, structure, choice, corollary, pair, exp] [regularized, linear, function, assume, regularization, regression, convergence, optimization, arg, regularizers, general, apply, max, main, note, local, technical, concave, rate, quantity] [error, statistical, estimation, condition, high, mixed, regularizer, dimensional, well, analysis, recovery, snr, consider, norm, matrix, rank, sparse, random, theorem, theoretical, order, including, characterizes, iterative, annals, covariate, subspace, opt, est]
Black-box optimization of noisy functions with unknown smoothness
Jean-Bastien grill, Michal Valko, Remi Munos, Remi Munos

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #89
[hierarchical, work, depth, quality, root, directly, factor] [metric, require, class, empirical, machine, space, example, measure, evaluation, instance, set, respect, evaluated, provide, average] [performance, previous, perform] [standard, point, cell, prior, figure, stochastic, sample] [hoo, partitioning, regret, algorithm, poo, number, simple, bound, knowledge, best, optimistic, case, dmax, bandit, upper, valko, lower, choice, complexity, hct, exists, adapted, maximum, requiring, hoos, unknown, stosoo, uct, budget, cumulative, prove] [function, optimization, assumption, smoothness, assume, problem, global, lipschitz, requires, local, optimizing, def, note] [dimension, consider, order, analysis, well, appendix, good, result, running, provided]
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices
Martin Slawski, Ping Li, Matthias Hein

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #94
[constraint, work] [prediction, set, approach, based, example] [performance, long, slow, image] [data, estimator, model, covariance, sample, gaussian, parameter, figure, sampling, tuning] [case, bound, proposition, choice, study, number, underlying, bounded, probability, exists, best] [regularized, regularization, problem, oracle, regression, convex, rate, linear, interest, additional, max, optimization] [matrix, estimation, norm, nuclear, constrained, condition, error, consider, chen, rank, spd, recovery, random, positive, theorem, trace, symmetric, suppose, min, analysis, argmin, cbcl, compressed, statistical, solving, low, journal, stable, correlation, result, phase, annals, spiked, dimension]
Time-Sensitive Recommendation From Recurrent User Activities
Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #35
[formulation] [history, real, prediction, set, optimal, based, learning, average, disease] [temporal, performance, sequence, predict, modeling, better, recurrent, evaluate, predicted] [poisson, hawkes, process, intensity, event, point, user, model, figure, mae, conditional, returning, heldout, recommendation, kernel, observed, triggering, data, predictive, exponential, quantiles, stic, proposed, synthetic, recommend, stochastic, survival, volume, compared] [time, algorithm, item, total, pair, number, testing, simple, best] [gradient, convex, function, proximal, method, problem, convergence, linear, large, minimization] [rank, matrix, factorization, nuclear, svd, norm, tensor, opt, analysis, theorem, solving, nonnegative, achieves, estimation]
Sum-of-Squares Lower Bounds for Sparse PCA
Tengyu Ma, Avi Wigderson

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #92
[sum, clique, constraint, interesting, called] [learning, optimal, machine, set, hypothesis, real, framework, conference, class] [detection, program, natural, computer, hidden, subject, processing] [computational, data, covariance, distribution, sample, gaussian, family, null, variance, david] [lower, bound, time, number, algorithm, degree, prove, study, probability, case, tight, complexity, annual, size, basic, minimax] [problem, convex, objective, note, optimization, constant, solve, max, linear, general, large, larger] [sparse, pca, estimation, relaxation, high, polynomial, planted, statistical, principal, random, vector, consider, component, analysis, matrix, journal, sdp, version, result, boaz, hardness, berthet]
Online Gradient Boosting
Alina Beygelzimer, Elad Hazan, Satyen Kale, Haipeng Luo

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #93
[work, denoted, theory, sum, extend, called] [learning, class, prediction, set, example, weak, optimal, supplementary, reduction, robert, generalization, improvement, algorithmic] [performance, training, validation, labeled] [parameter, data, standard, measured, stochastic, approximation, commonly] [algorithm, regret, bound, setting, number, learner, greedy, size, partial, prove, best, receives, study, total] [online, boosting, loss, function, base, linear, batch, regression, gradient, convex, convergence, constant, combination, step, zhang, main, obtains, competes, richer, strong, lipschitz, erm, logistic, simply, descent, larger, chosen, satyen, generalized, competing, comparator, simpler, shrinkage, pass, suitably, specialized] [analysis, theorem, theoretical, norm, scaling, result, consider]
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler, Amos J. Storkey

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #34
[effectively, inference, represents, energy, marginal] [machine, entire, system, subset, learning, based, datasets, international, propose] [molecular, dataset, performance] [sghmc, ccadl, sgnht, covariance, distribution, stochastic, test, bayesian, log, langevin, sampling, posterior, likelihood, variance, true, monte, temperature, dissipate, invariant, numerical, density, computational, thermostat, carlo, figure, maintaining, standard, leimkuhler, proposed, parameter, target, assuming, drbm, dwa, edinburgh, estimating, university, estimate, normal, typically] [number, adaptive, size, setting, exp] [gradient, method, constant, large, stepsize, note, convergence, splitting, second] [matrix, noise, error, order, noisy, estimation, random, small, well, journal, desired, diagonal]
Human Memory Search as Initial-Visit Emitting Random Walk
Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, ming yuan

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[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #33
[invite, censored, list, transition, state, absorbing, verbal, search, node, markov, uncensored, visiting, work, animal, toy, nonabsorbing, three, qmj, transient, regmle, food] [set, task, produced, behavior, science, naive, employed, example, provide, space] [semantic, human, memory, output, cognitive, generate, generated, length, produce, table, training] [likelihood, log, model, data, figure, estimate, computation, parameter, estimator, difference, stochastic, university, standard, test, prior, compare] [walk, underlying, probability, structure, number, time, graph, chain, item, starting, algorithm, cascade, best, infection] [note, compute, optimization, problem, assume, method] [random, theorem, matrix, consider, mle, fundamental, small]
GP Kernels for Cross-Spectrum Analysis
Kyle R. Ulrich, David E. Carlson, Kafui Dzirasa, Lawrence Carin

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #22
[state, marginal, window, novel, represented, hmm, form, represents, discrete, markov, sum, inference] [learning, set, space, multiple, machine, allows] [brain, input, single, output, neuroscience, complex, representation, performance, transform, represent, temporal] [kernel, csm, gaussian, model, covariance, frequency, lfp, latent, process, amplitude, dft, mixture, distribution, data, likelihood, spectrum, approximation, figure, channel, full, ksg, bayesian, density, sample, university, coregionalization, standard, lmc, drawn, fourier, variational, ssg, sleep, expressive] [number, probability, time] [function, method, regression, fast, chosen] [phase, spectral, power, matrix, analysis, application, vector, component]
Learning Theory and Algorithms for Forecasting Non-stationary Time Series
Vitaly Kuznetsov, Mehryar Mohri

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[abstract]

Oral: Wed Dec 9th 09:50 - 10:10 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #95
[term, theory, tree, work, key, novel, solved] [learning, generalization, measure, prediction, empirical, set, hypothesis, scenario, based, approach, binary] [forecasting, sequence, autoregressive, memory, long, consists] [distribution, series, discrepancy, sequential, process, stochastic, standard, estimated, sample, target, asymptotically, stationarity] [time, stationary, exp, mixing, complexity, number, covering, probability, bound, mohri, setting, uniform, case, corollary, kuznetsov, upper, inequality, notion, devise, algorithm, observe, supremum, pac, bounded] [optimization, convex, general, problem, note, convergence, rademacher, loss, assumption, function, established, max, quantity, additional, mild, second] [random, theorem, analysis, result, consider, min, error, hold, distributed, independent, solution]
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
Takashi Takenouchi, Takafumi Kanamori

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[abstract]

Spotlight: Wed Dec 9th 10:10 - 10:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #58
[discrete, probabilistic, ratio, term, novel, associated] [empirical, machine, averaged, cost, set, weak, learning, respect, example, real, risk, based] [boltzmann, hidden, dataset] [estimator, model, proposed, unnormalized, distribution, log, parameter, localized, divergence, computational, normalization, calculation, median, written, matching, figure, coincidence, observed, summation, asymptotic, normalized, exponential, sample, university, derived, estimate, likelihood, investigate, computation] [probability, observe, number, time, underlying, limit, focus, inequality] [method, function, remark, note, fisher, assume, constant, requires, minimizing, minimization, gradient, optimization] [mle, statistical, estimation, homogeneous, theorem, argmin, consider, order, vector, consistency, positive]
Structured Estimation with Atomic Norms: General Bounds and Applications
Sheng Chen, Arindam Banerjee

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #100
[width, bounding, tightness, decomposable, ordered, corresponding, three, group] [set, structured, tangent, example, based, conference, supplementary] [unit, neural, processing] [log, gaussian, sample, invariant, full] [upper, lemma, bound, lower, inf, proof, simple, complexity, inequality, illustrate, focus, direct] [general, dual, max, operator, ball, assume, linear, convex, apply, subgradient, denotes, assumption, note, generalized, constant, choose] [norm, atomic, theorem, estimation, restricted, polar, solution, geometric, recovery, compatibility, statistical, cone, analysis, sparse, owl, error, vector, weighted, min, random, result, spherical, consider, cap, solving, dimension, characterization, signal, sparsity, dantzig, decomposition, application, condition, compressed, sharp]
Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's
Vitaly Feldman, Will Perkins, Santosh Vempala

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #101
[assignment, partition, appears, factor, corresponding, form] [set, learning, reduction, approach, majority, false, based, require] [previous, described] [distribution, log, model, stochastic, true, computational, sample, drawn] [algorithm, number, complexity, time, probability, edge, graph, case, independently, vertex, simple, lower, complete, partitioning, uniform, access, degree, size, best, bound] [linear, constant, computing, top, note, problem, large, iteration, implementation, assume, requires, larger] [planted, random, block, vector, spectral, bipartite, adjacency, singular, running, matrix, odd, statistical, power, recovery, succeeds, sparse, norm, subsampled, journal, consider, recover, independent, analysis, planting, induces, solving, bipartition, restricted]
On Elicitation Complexity
Rafael Frongillo, Ian Kash

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #98
[strictly, scoring] [risk, elici, elicitable, elicitation, bayes, eliciting, elicits, example, class, set, fissler, easily, provide, elicitability, ziegel, argmax, learning, conference, respect, elicit, course, lambert, measure, needed, johanna, conclude, shortfall] [level, question, natural] [variance, full, expectation, quantiles, conditional, distribution, standard, matching] [property, complexity, lower, lemma, expected, case, upper, probability, bound, notion, corollary, minimum, link, proposition, study, write, number, fact, exists, inf, proving, tight, pair] [loss, function, convex, note, regression, simply, squared, assume, linear, general, large] [theorem, spectral, journal, statistical, consider, min, random, result, denote, introduced, provided]
Online Learning with Adversarial Delays
Kent Quanrud, Daniel Khashabi

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #99
[sum, term, decision, called, domain, considered] [learning, cost, set, distance, respect, area, optimal, machine, perturbation, approach] [neural, natural, single] [point, stochastic, standard, applied, equation, data, parameter] [regret, bound, feedback, lemma, setting, algorithm, bounded, simple, number, best, strategy, diameter, proof, adversarial, case, choice, study, total, resource] [round, online, delayed, gradient, convex, arg, kalai, function, descent, loss, perturbed, delay, analyze, vempala, delivered, linear, apply, tth, picking, batch, leader, joulani, zinkevich, optimizes, undelayed, asynchronous, parallel, chosen, prophet, outstanding] [theorem, vector, distributed, consider, analysis, random, order, exactly, min]
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
Qinqing Zheng, John Lafferty

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #93
[work, three, programming, initialization, closely] [machine, cost, approach, select, based, learning, class, close, experimental] [processing, generate, subject, transformation, neural, arxiv] [log, sample, figure, stochastic] [algorithm, probability, complexity, number, case, comparison, minimum, size, exists] [gradient, descent, minimization, problem, method, linear, step, regularity, convex, convergence, nonconvex, compute, global, linearly, optimization, large, main, top, scheme, constant, satisfying, objective, function, squared, note, converge, local, universal] [rank, nuclear, matrix, norm, svp, solution, phase, condition, positive, altminsense, high, min, solving, random, theorem, small, sparse, singular, retrieval, measurement, alternating, establish, prateek, randomly]
Combinatorial Bandits Revisited
Richard Combes, Mohammad Sadegh Talebi Mazraeh Shahi, Alexandre Proutiere, marc lelarge

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #96
[decision, solved, selected, maker, reduces] [reward, set, optimal, based, policy, propose, learning, select, provide, machine, selecting] [performance, generic, table, sequence] [stochastic, log, distribution, divergence, proposed, computational, observed, asymptotically, sequential, computed, exponential] [regret, combinatorial, algorithm, omb, lower, exp, bound, arm, bandit, time, complexity, escb, basic, adversarial, band, upper, feedback, expected, case, action, proof, cucb, ohn, unknown, number, horizon, structure, corollary, selects, exists, bor] [round, problem, linear, optimization, step, assume, derive, max, note, arg, gap] [theorem, min, projection, consider, vector, uniformly, scaling, analysis, good, bernoulli, independent, journal]
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection
Jie Wang, Jieping Ye

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 10:10 - 10:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #63
[mlfre, node, tgl, tree, group, inactive, hierarchical, form, depth, leaf, exact, major, rejection, novel, gained, supreme, applicable, pcj, complicated, vgi, pbj, sum, challenge, subgradients, corresponding] [set, structured, machine, reduction, learning, conference, virtual, existing, cost, international, respect] [feature, table, highly, brain] [data, synthetic, parameter, computational, volume, estimate, introduce] [algorithm, lemma, implies, time, admits, number, path, testing] [solver, problem, closed, dual, optimization, solve, convex, method, technical, nonconvex, second, safe, note, speedup, hierarchically, regularization, optimum] [screening, theorem, sparse, projection, lasso, solution, journal, solving, analysis, suppose, geometric]
Optimal Testing for Properties of Distributions
Jayadev Acharya, Constantinos Daskalakis, Gautam C. Kamath

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 10:10 - 10:35 AM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #94
[discrete, domain, partition, largest] [distance, class, learning, optimal, set, mass, close, computationally] [output, previous, multiplicative, learn, identity] [distribution, sample, log, statistic, test, point] [testing, monotone, algorithm, lemma, probability, complexity, dtv, total, interval, lower, implies, variation, lcdn, exists, unimodal, mhrn, bound, number, hazard, prove, monotonicity, var, inequality, property, tester, unknown, case, mhr, time, independence, proof, access, element, mqi, corollary, study, distinguish, raise] [note, support, step, linear, problem, requires, rate, def, constant, second] [theorem, result, suppose, consider, product, random, analysis, decomposition, small, guarantee]
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #23
[topic, inference, lda, map, amr, dirichlet, mda, propagation, outperforms, gibbs, document, variable, solved, developed, multisent, medlda, multinomial, proprietary] [learning, prediction, task, respect, cost, binary, maximizing, supplementary, score] [discriminative, supervised, training, performance, dataset, neural, deep, unsupervised, text, input, vocabulary, fully, output, trained, word, network, architecture, evaluate, auc, table] [model, figure, posterior, distribution, generative, full, approximate, data, proposed, estimate, latent, likelihood, variational, sampling, approximation, compare] [number, probability, algorithm, size, best, time] [regression, problem, denotes, descent, mirror, arg, note, method, max, gradient, linear, logistic, optimization, function, large] [depends, matrix, consider, vector]
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization
Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, Devdatt Dubhashi

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #59
[node, represented, corresponding, diversity, document, initialization, extension, initial, formulation, reduces, equivalent] [set, machine, generalization, learning, measure, based, task, science] [embedding, natural, table, embeddings, original, weight, computer] [kernel, approximation, computed, university, classical, computational, approximate] [number, graph, time, algorithm, similarity, maximum, complexity, edge, choice, best] [function, problem, method, support, max, note, compute, svm, computing, faster, presented, apply, unifying, fast] [weighted, theta, clustering, kij, version, sij, correlation, delsarte, min, kls, geometric, characterization, unweighted, matrix, kii, journal, sdp, introduced, well, cut, jethava, random, cluster, overlapping, vector, high, summarization, solving, obtuse]
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
Balázs Szörényi, Róbert Busa-Fekete, Adil Paul, Eyke Hüllermeier

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #60
[marginals, probable, work, group, accuracy, allowed] [based, set, allows, learning, empirical, optimal, return, experimental, elicitation, goal] [performance, generated, single] [sample, distribution, model, log, stochastic, sampling, preferred, figure, parameter, test, data] [pairwise, algorithm, ranking, probability, sorting, complexity, number, rankcentrality, item, plpac, learner, quicksort, bqs, size, budgeted, case, dueling, terminates, partial, condorcet, budget, bound, mergesort, pqs, pair, btm, bandit, deferred, property, worst, beaten, total] [online, problem, call, assume, presented, note, simply, update, large] [order, rank, random, theorem, denote, appendix, version, analysis, noisy, idea]
Lifted Inference Rules With Constraints
Happy Mittal, Anuj Mahajan, Vibhav G. Gogate, Parag Singla

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #56
[constraint, lifted, inference, theory, evidence, formula, variable, tuple, form, partition, domain, work, count, probabilistic, appearing, markov, canonical, setineq, predicate, logic, union, lifting, mln, equivalence, ground, decomposer, binomial, gcfove, tuples, equality, extension, ptp, exact, occurrence, relational, fit, fif, key, three, identical, intersection, hypercube, partitioned, supplement, compilation, appears, search, associated, join, grounding, extend, equal, called, formulation] [set, subset, approach, existing, based, respect, allows, class] [representation, language, operation, single, weight] [normal, approximate, figure, true, sampling] [time, size, number, inequality, knowledge, algorithm, complexity] [support, function, rule, assume] [constrained, denote, solution, order, theorem, atomic, application]
Sparse PCA via Bipartite Matchings
Megasthenis Asteris, Dimitris Papailiopoulos, Anastasios Kyrillidis, Alexandros G. Dimakis

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #57
[jointly, topic, corresponding, work, exact, factor] [multiple, set, maximization, real, machine, based, close, international, achieved, approach, conference, learning] [input, weight, table, higher, dataset, original] [data, variance, matching, approximation, covariance, procedure, capture, point] [algorithm, number, maximum, time, graph, cumulative, total, complexity, greedy, edge, dependence] [problem, objective, support, max, arg, note, arbitrarily, additional] [sparse, pca, matrix, disjoint, principal, bipartite, extracted, component, sketch, solution, solving, desired, polynomial, dimension, theorem, nonzero, zzz, ambient, captured, journal, theoretical, high, leading, grows, analysis, solves, small, explained, spanspca, statistical, computes, operates, achieves, sparsity, low, tpower, consider]
Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters
Emmanuel Abbe, Colin Sandon

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #64
[exact, accuracy, node, logarithmic, smallest] [threshold, set, determine, paper, optimal, based, require, label, approach] [detection, previous] [stochastic, model, log, estimate, data, growing, drawn] [algorithm, probability, graph, degree, vertex, number, partial, knowledge, case, size, expected, edge, regime, complexity, fact, exists] [general, large, strong, requires, rate, note, problem, constant] [recovery, community, block, symmetric, sbm, pwi, error, matrix, random, solvable, snr, independent, solves, spectral, theorem, achieving, high, good, relative, diverging, small, version, detects, sharp, january, fundamental, eigenvalue, recovering, randomly, min, pwj, requirement, result, estimation, studied, sparse]
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets
Justin Domke

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #65
[markov, graphical, work, discrete, sum, theory, current, factor] [set, learning, paper, close, distance, determined, based] [inside, training, interaction] [log, likelihood, model, distribution, parameter, approximate, sample, sampling, estimated, exponential, family, typically, contrastive, monte, carlo, true, approximation, divergence] [mixing, chain, maximum, bound, ising, number, algorithm, total, probability, proof, case, time, common, stationary, bounded, inequality, simple, strategy, setting] [gradient, convex, convergence, descent, amount, iteration, regularized, assumption, effort, main, fast, converge, method, composite, lipschitz] [theorem, result, random, vector, journal, solution, order, analysis, norm, projection, guarantee, statistical, high, error, arbitrary]
Segregated Graphs and Marginals of Chain Graph Models
Ilya Shpitser

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #61
[markov, variable, called, inference, graphical, marginal, represented, induced, directly, marginals, corresponding, form, separation, involving] [set, example, approach, respect, existing, relationship, representing, instance] [hidden, pas, represent, connected, interaction, modeling, generated, encode] [model, conditional, distribution, observed, bayesian, family, data] [graph, chain, causal, directed, segregated, interference, undirected, property, vertex, dag, lemma, independence, exists, walk, edge, treatment, study, path, acyclic, equilibrium, antg, collider, case, underlying, vaccine, dependence, imply, unobserved, social, adjacent, carry, illustrate] [global] [mixed, ordinary, consider, special, factorization, theorem, block, denote, analysis, random]
Approximating Sparse PCA from Incomplete Data
ABHISEK KUNDU, Petros Drineas, Malik Magdon-Ismail

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #62
[largest, factor, construct] [optimal, stock, set, machine, based, address] [performance, table, original, text, appropriate] [data, sampling, sample, variance, approximation, figure, parameter, digit, full, difference] [algorithm, uniform, bound, observe, complete, pij, number, suboptimal, probability, comparison, time, choice, mixing, setting] [problem, top, optimization, larger, large, arg, loss, general, max, linear] [sparse, pca, principal, sketch, matrix, theorem, small, component, sparsity, good, recover, incomplete, solution, aij, spectral, gene, well, techtc, analysis, consider, norm, rank, recovered, centered, error, expression, sampled, extensive, journal, zeroing, solves, singular, relative, suppose, running, fraction, row, stable, polytechnic]
Testing Closeness With Unequal Sized Samples
Bhaswar Bhattacharya, Gregory Valiant

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #66
[markov, state, work, identical, discrete, factor, node, distinguishing, supported, transition, considered, corresponding, logarithmic] [distance, empirical, hypothesis, optimal, based, set, range, entropy, plot, essentially, space] [natural, question, word, rare, represent] [sample, distribution, statistic, test, log, drawn, estimating, estimate, proposed, expansion, figure, synthetic] [testing, algorithm, mixing, size, time, probability, versus, chain, setting, closeness, lower, tmix, bound, uniform, complexity, pair, number, unknown, case, regime, valiant, extremely, unequal, distinguish, variation, total, intuition, basic, similarity, corollary, goldreich] [problem, constant, second, note, improved, support, large] [independent, consider, matrix, denote, random, small, error, smaller, extreme]
Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #67
[clique, construction, node, markov, equivalence, induced, tree, variable, work, denoted, novel, called] [system, set, learning, close, based, naive, provide, class, heuristic, international, optimal] [color, learn, learnt, performs] [deterministic, log, applied, process, distribution, theoretic, bayesian] [algorithm, separating, graph, chordal, causal, number, intervention, directed, size, adaptive, dag, lower, meek, skeleton, worst, complete, undirected, bound, case, chain, lemma, chromatic, underlying, identify, essential, upper, edge, acyclic, achievable, ordering, probability, oriented, time, structural, independence] [problem, general, requires, rule] [consider, theorem, random, randomized, journal, independent, design]
Column Selection via Adaptive Sampling
Saurabh Paul, Malik Magdon-Ismail, Petros Drineas

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #76
[work, selected, initial, induction, theory] [approach, optimal, subset, based, adaptively, set, existing, select, empirical, real] [performance, better, reconstruction, report] [sampling, data, prior, synthetic, approximation, figure, deterministic, sample, target, sequential, volume] [adaptive, algorithm, strategy, bound, number, best, probability, comparing, selects, prove] [round, improved, step, linear, chosen, siam, presented, method] [error, relative, matrix, column, singular, selection, theoretical, continued, rank, theorem, additive, sparse, residual, atk, hgdp, result, aik, analysis, guarantee, boost, decay, randomized, petros, well, malik, high, ieee, good, ect, depends, cssp, journal, christos, extreme, projection]
Robust Regression via Hard Thresholding
Kush Bhatia, Prateek Jain, Purushottam Kar

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #75
[current, hard, selected, exact] [set, active, response, based, subset, existing, propose, class] [generated, level, better, magnitude, fully] [data, model, figure, log, parameter, gaussian, proposed] [algorithm, best, time, study, number, property] [regression, strong, problem, convergence, step, method, constant, update, faster, convexity, note, rate, smoothness, solver, gradient, large, remark, linear] [recovery, robust, thresholding, sparse, matrix, error, corrupted, vector, orrent, xst, theorem, corruption, well, noise, recover, dense, bst, high, restricted, dimensional, random, sampled, rlsr, order, solution, guarantee, ieee, iterative, adversarially, sigma, ssc, analysis]
Optimal Linear Estimation under Unknown Nonlinear Transform
Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #78
[work, key, novel] [optimal, learning, based, machine, propose, provide, response, generalization, set, approach] [arxiv, preprint, input] [model, log, estimating, estimator, procedure, sample, parameter, university, proposed, figure, standard, estimate, corresponds] [link, algorithm, setting, minimax, lower, bound, unknown, exp, lemma, pair, case, complexity, number] [function, rate, regression, linear, second, assume, logistic, optimization, convergence, problem, note, requires, method, loss, general, mild, convex] [sparse, estimation, dimensional, error, high, moment, compressed, phase, statistical, consider, retrieval, tmax, sensing, theorem, low, recovery, random, robust, journal, vector, matrix, principal, component, achieves, eigenvector, condition, establish, quantized, annals, leading, recover, polynomial, broad, power]
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
Yunwen Lei, Urun Dogan, Alexander Binder, Marius Kloft

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #77
[accuracy, work, logarithmic, motivated, novel, associated, represented] [generalization, class, learning, based, machine, hypothesis, space, gain, datasets, prediction, material, achieved, respect, empirical, supplementary, risk] [training, processing, benchmark, dataset, performance, neural, table] [proposed, gaussian, log, kernel, standard, sample] [dependence, bound, algorithm, structural, corollary, complexity, probability, number, size, lemma, maximum, proof, case] [problem, margin, dual, function, loss, linear, derive, rademacher, optimization, method, general, large, hinge, multiclass, dualized, fenchel, convex, quadratic, established, crammer, optimizing, regularization] [result, denote, independent, theorem, error, analysis, journal, vector, theoretical, random, consider, norm]
Learning with Incremental Iterative Regularization
Lorenzo Rosasco, Silvia Villa

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #80
[key, formulation] [learning, risk, optimal, space, set, machine, paper, multiple, based, provide, measure, generalization, capacity, empirical] [training, neural, understanding] [sample, stochastic, approximation, test, log, kernel, data, hilbert, rkhs, figure, standard, considering, model, computational] [number, setting, inf, algorithm, bound, probability, prove, best, proof, lower, study, case] [regularization, assumption, step, stopping, gradient, incremental, main, early, linear, kwt, regression, convergence, derive, online, optimization, function, problem, excess, greater, iteration, rule, large, breast, cancer, remark, regularized, inverse, pass, method] [error, iterative, consider, statistical, well, theorem, appendix, condition, suitable, independent, analysis, norm, solution, selection]
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #79
[state, decision, markov, initial, formulation, transition, programming, making, grid, equivalent, constraint] [cvar, policy, mdps, cost, mdp, bellman, risk, set, optimal, approach, perturbation, robustness, discounted, framework, control, respect, address, provide, interpolated, space, motivation, based, paper, trajectory, supplementary, maximization] [interpolation, modeling, level] [approximate, log, point, model, dynamic, approximation, procedure, expectation, conditional] [algorithm, time, lemma, expected, bound, total, probability, budget, property, number, proposition, fact, concavity, bounded] [problem, function, iteration, linear, operator, optimization, augmented, involves, max, assumption, additional, method, perturbed, convergence, second] [theorem, error, result, robust, solution, denote, min, random, consider, condition]
Sparse and Low-Rank Tensor Decomposition
Parikshit Shah, Nikhil Rao, Gongguo Tang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #82
[exact, slice, sum, denoted, corresponding, work] [respect, learning, space, set, machine, paper] [unit, perform, higher, third, described, generated] [computational, parameter, sampling, full] [algorithm, lemma, complexity, case, probability, choice, corollary, degree, size, independently, number] [problem, convex, assumption, max, note, support, regularization, solve, method, call, linear, compute] [tensor, sparse, rank, matrix, decomposition, order, sparsity, low, mode, random, incoherence, component, recovery, contraction, robust, completion, denote, uniformly, consider, distributed, suppose, analysis, journal, column, row, solution, picked, simultaneous, suitable, solving, eigenvectors, theorem, vector, corrupted]
No-Regret Learning in Bayesian Games
Jason Hartline, Vasilis Syrgkanis, Eva Tardos

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #81
[mechanism, type, theory, quality, extend, form, agent, denoted] [learning, bayes, optimal, average, set, static, utility, empirical, paper, space] [sequence] [bayesian, distribution, population, stochastic, drawn, standard, equation, normal, model, classical, sample] [game, player, correlated, equilibrium, coarse, welfare, price, action, repeated, expected, social, anarchy, complete, valuation, nash, auction, regret, strategy, property, time, play, independently, mag, surely, annual, setting, implies, blum, total, outcome] [smoothness, interpretation, converges, smooth, convergence, large, main, online, converge, general, step, chosen] [incomplete, theorem, random, denote, good, consider, randomized, achieves, vector, result, independent, symposium, uniformly, product]
Algorithmic Stability and Uniform Generalization
Ibrahim M. Alabdulmohsin

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #84
[observation, inferred, equivalent, markov, inference, mutual, theory, lazy, called, induced, denoted, probabilistic, key] [stability, learning, algorithmic, hypothesis, generalization, risk, space, set, empirical, rtrue, remp, ztrn, improve, machine, effective, example, generalizes, esm, relationship, class, mass, measure] [training, processing, concept, single, original] [true, distribution, parametric, data, process, stochastic, classical, introduce] [algorithm, uniform, size, probability, notion, bound, chain, bounded, inequality, total, write, learnability, fact, exists, setting, prove, proof, complexity] [loss, function, general, proved, note, convergence, large, converges] [random, theorem, result, uniformly, order, journal, stable, condition, vector, small, statistical, bernoulli, suppose]
Analysis of Robust PCA via Local Incoherence
Huishuai Zhang, Yi Zhou, Yingbin Liang

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #83
[correct, exact, corresponding, associated, sum, three] [set, based, plot, robustness] [] [model, log, parameter, density, localized, observed, sampling, determines] [probability, adaptive, uniform, number, proof, failure, clear, implies, total, versus, pij] [local, problem, dual, denotes, larger, convex, operator, constant, global, large, technical, note, gap, solve] [error, matrix, robust, incoherence, pca, corruption, pcp, rank, theorem, cluster, recovery, random, low, percentage, bernoulli, entry, diagonal, sign, corrupted, result, sparse, consider, norm, weighted, distributed, depends, introduced, condition, smaller, guarantee, singular, order, ieee, completion, analysis, decomposition, tolerate, clustering, component, characterize, principal, suppose, incoherent, small, studied]
Measuring Sample Quality with Stein's Method
Jack Gorham, Lester Mackey

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 05:30 - 06:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #62
[quality, sampler, markov, scaled, equivalent, bounding, exact] [wasserstein, measure, distance, class, set, international, account, machine] [sequence, boundary, program, bias] [stein, discrepancy, sample, classical, target, log, spanner, figure, test, multivariate, posterior, monte, carlo, distribution, gaussian, computation, approximation, asymptotic, standard, approximate, deterministic, likelihood, normal, bayesian, applied, langevin, sgld, diagnostic, computational, stochastic, compare, mcmc] [graph, complete, probability, proposition, size, chain, lower, bound, number, maximum] [convergence, method, step, max, linear, function, gradient, large, second, converges, optimization, coordinate, operator, rate, ipm] [error, theorem, journal, norm, suitable]
Biologically Inspired Dynamic Textures for Probing Motion Perception
Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 05:30 - 06:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #14
[motion, formulation, perceptual, width, corresponding, work, inference, contribution] [instance, based, supplementary, allows, respect, provide, static, set, optimal] [spatial, visual, texture, observer, synthesis, natural, scale, parameterized, scene, described, moving, temporal, luminance, vision, computer, image, tested, spde, subject] [model, speed, frequency, gaussian, dynamic, prior, generative, perception, figure, likelihood, bayesian, distribution, stimulus, psychophysical, stochastic, parameterization, perceived, principled, derivation, observed, central, covariance, standard, bandwidth, integration, france, stimulation, axiomatic] [stationary, case, proposition, proof, partial, choice, nature] [function, note, remark, constant, problem, faster, assume, linear] [random, denote, noise, journal, consider, vector, small, scaling, differential, estimation]
On the Pseudo-Dimension of Nearly Optimal Auctions
Jamie H. Morgenstern, Tim Roughgarden

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 05:30 - 06:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #84
[work, theory, mechanism, labelings, highest, equivalence] [learning, optimal, set, virtual, class, threshold, respect, hypothesis, maximization, paper, close, empirical] [level, representation, single, jason] [sample, distribution, log, distinct, true, drawn, approximation, parameter] [auction, bidder, revenue, complexity, expected, case, number, valuation, upper, bid, algorithm, unknown, price, bound, balcan, size, probability, exists, simple, acm, tim, prove, truthful, winner, achieve, best, welfare, ironed, item, simplicity] [function, general, amount, payment, assume, second] [error, theorem, consider, design, arbitrary, small, product, polynomial, denote, symposium, positive, statistical]
High-dimensional neural spike train analysis with generalized count linear dynamical systems
YUANJUN GAO, Lars Busing, Krishna V. Shenoy, John P. Cunningham

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 05:30 - 06:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #26
[count, inference, negative, term, observation, trial, lds, state, work, form] [reaching, learning, reduction, empirical, system] [neural, neuron, spiking, activity, motor, baseline, movement, temporal, better, performance, single, table] [data, poisson, model, variance, figure, plds, gclds, log, distribution, spike, latent, variational, population, dynamical, family, observed, likelihood, left, period, preparatory, gaussian, dispersion, compared, process, expectation, predictive, middle, capture, recorded, computation, panel, primate, parameter, university, cortex, onset, xrt, gcglm] [time, common, lower, nature, case] [linear, function, generalized, regression, rate, support, second, concave, note, interest, analyze, initialize] [analysis, special, journal]
Interactive Control of Diverse Complex Characters with Neural Networks
Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel V. Todorov

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[abstract]

Oral: Tue Dec 8th 04:30 - 05:30 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #13
[state, initial, work, motion, joint, position] [trajectory, optimal, policy, control, task, goal, physical, cost, interactive, learning, contact, walking, cxx, behavior, locomotion, set, biped, allows, calculated, controller, location, range, learned, sensor, changing] [neural, network, training, character, sensory, hidden, layer, learn, recurrent, gpu, complex, include, performance, realistic, computer] [data, stochastic, change, model, test, applied, full, gaussian, point] [feedback, action, algorithm, total, direct, number, time, simple] [optimization, method, problem, objective, function, large, regression, solve, pass, gradient, cyclic, hessian] [noise, noisy, stable, small, distributed, result]
The Human Kernel
Andrew G. Wilson, Christoph Dann, Chris Lucas, Eric P. Xing

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 05:30 - 06:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #24
[marginal, probabilistic, work, create] [learning, learned, multiple, empirical, machine, framework, prediction, average, based, range, provide, asked, experimental, andrew, rational] [human, learn, training, neural, place, ability, complex, single, processing, dataset] [kernel, data, likelihood, gaussian, model, posterior, covariance, inductive, rbf, figure, process, mixture, extrapolation, prior, standard, razor, bayesian, true, sample, predictive, wide, observed, parametric, edward, thomas, black, drawn, extrapolate, gordon, applied, bulletin] [ranking, simple, number, structure, choice, probability, stationary, maximum] [function, support, adapt, step, dashed] [spectral, matrix, small, statistical, including, polynomial]
Competitive Distribution Estimation: Why is Good-Turing Good
Alon Orlitsky, Ananda Theertha Suresh

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Tue Dec 8th 04:30 - 05:30 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #88
[appearing, partition, discrete, permutation, equivalence, exact] [optimal, empirical, set, combined, collection, example] [natural, performance, generated, performs, incurs, better, half] [estimator, distribution, prior, divergence, estimating, laplace, sample, figure, proposed, estimate, log, compare, parameter, david] [probability, regret, number, competitive, nat, designed, knowledge, best, underlying, expected, bound, uniform, size, lemma, alon, upper, adaptive, ashkan, jayadev, ananda, alphabet, lower, theertha, multiset, proof, increase, assign, knowing, assigns, total, zipf] [loss, max, def, oracle, large, absolute, practical, support, second, larger] [min, estimation, theorem, relative, result, well, denote, uniformly, small, appendix]
Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo, Robert E. Schapire

[pdf] [rank by tf-idf similarity to this]
[abstract]

Oral: Tue Dec 8th 04:30 - 05:30 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #97
[sum, theory, form] [utility, learning, average, individual, class, behavior, optimal, set, stability] [natural, bias, previous, sequence] [approximate, parameter, figure] [player, regret, algorithm, hedge, optimistic, property, rvu, game, welfare, strategy, proposition, oftrl, rakhlin, recency, expected, corollary, kut, correlated, sridharan, omd, observe, time, follow, social, total, adaptive, number, price, kwj, case, played, simple, setting, bound, adversarial, bounded, auction, decentralized, opposed, favorable, achieve, vanishing, kwi, coarse] [convergence, fast, rate, faster, descent, regularized, mirror, converges, online, stepsize, leader, iteration] [theorem, result, well, consider, stable]
Stochastic Expectation Propagation
Yingzhen Li, José Miguel Hernández-Lobato, Richard E. Turner

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 03:30 - 04:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #36
[propagation, factor, inference, accuracy, probabilistic, reduces, message, intermediate, included, updated, work, replacing] [learning, machine, average, datasets, averaged, supplementary] [memory, dataset, neural, single, performed, performs, performance] [sep, approximating, approximation, posterior, variational, adf, approximate, stochastic, expectation, distribution, likelihood, bayesian, gaussian, full, test, cavity, data, figure, vmp, mixture, datapoints, synthetic, university, comprising, uncertainty, tilted, latent, minimising, assumed, granularity, sampling, accurate, computation, prior, probit, parameter, thomas] [algorithm, number, simple] [large, global, local, method, parallel, update, compute, step, regression, simpler] [moment, well, consider, power, journal, small, distributed, cluster, good, scaling, approximates]
Deep learning with Elastic Averaging SGD
Sixin Zhang, Anna E. Choromanska, Yann LeCun

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Tue Dec 8th 03:30 - 04:00 PM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #37
[variable, map, updated, refer, form] [learning, stability, paper, average, set, approach, experimental, allows, based] [training, neural, deep, convolutional, imagenet, moving, cifar, performance, experiment, gpu] [test, stochastic, equation, parameter, figure, period, data, compared, measured] [time, algorithm, setting, exploration, case, number, best, focus, size] [local, easgd, wallclock, loss, communication, master, method, asynchronous, update, worker, momentum, rate, admm, eamsgd, parallel, gradient, downpour, problem, denotes, linear, scheme, synchronous, mod, elastic, sgd, variant, optimization, comparator, large, parallelized, note, compute, averaging, descent, quadratic, function, computing, msgd, involves, overhead, lagrangian, online] [center, error, distributed, condition, analysis, stable]
Saliency, Scale and Information: Towards a Unifying Theory
Shafin Rahman, Neil Bruce

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #2
[corresponding, theory, directly] [based, prediction, space, range, entropy, example, paper, measure, relationship, learning, robustness] [saliency, image, scale, visual, pixel, object, feature, salient, spatial, bias, contrast, bilateral, output, segmentation, mesh, computer, human, expressed, cvpr, region, blur, benchmark, lighting, representation, invariance, keypoint, anisotropic, deep] [gaussian, kernel, intensity, figure, standard, proposed, equation, computation, likelihood, diffusion, model, applied, process, data, theoretic, considering, demonstrate, normalized, sample, estimate, aim, normalization, density, point, variety] [edge, maximum, basic] [local, general, note, function, interest, includes] [center, relative, including, ieee, expression, weighted, analysis, consider, discussion, selection, journal]
Semi-supervised Learning with Ladder Networks
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, Tapani Raiko

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #3
[inference, permutation, variable, auxiliary] [learning, cost, task, approach, based, optimal] [denoising, network, supervised, ladder, unsupervised, neural, deep, training, decoder, convolutional, mnist, encoder, layer, trained, labeled, fully, yoshua, autoencoder, level, performance, table, higher, feedforward, skip, feature, ian, baseline, processing, autoencoders, reconstruction, train, better, harri, finland, clean, input, aaron, tested, pascal, icml] [model, latent, test, invariant, proposed, data, distribution, estimate, full, variational, applied, posterior, stochastic, process, gaussian, hyperparameters] [simple, structure, probability, number] [function, method, batch, regularization] [corrupted, noise, error, random]
Fast and Guaranteed Tensor Decomposition via Sketching
Yining Wang, Hsiao-Yu Tung, Alex J. Smola, Anima Anandkumar

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Thu Dec 10th 10:10 - 10:40 AM @ Room 210 A
Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #47
[gibbs, lda, topic, collapsed, variable, exact, novel, negative, dirichlet, built] [hash, set, learning, empirical, based, machine, building, propose, space, existing] [input, table, training, initialized, performance, previous, dataset, word, factored] [data, log, latent, sampling, proposed, computational, computed, approximation, computation, synthetic, wikipedia] [time, complexity, algorithm, number, proposition] [fast, method, compute, requires, main, online, whitening, faster] [tensor, sketch, power, decomposition, spectral, symmetric, sketching, appendix, product, robust, analysis, dimension, order, moment, idea, theorem, running, consider, design, fft, randomized, random, independent, alternating, randomly, error, vector, colliding, component, contraction, theoretical]
Teaching Machines to Read and Comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #1
[document, context, mechanism, form, work, correct] [query, machine, learning, distance, approach, based, task, range, allows] [neural, reading, attention, entity, reader, language, word, answer, comprehension, lstm, attentive, deep, daily, question, mail, token, supervised, long, training, validation, natural, table, cnn, network, answering, tanh, layer, single, recurrent, producer, hidden, england, performance, frame, modelling, embedding, scale, parsing, impatient, semantic, benchmark, representation, translation, corpus, nlp, ability, cloze, correctly, anonymised, processing, memory, answered, lawyer, understanding, methodology, propbank] [model, data, test, figure, compare] [number, knowledge, uniform] [large] [version, vector, consider]
Scalable Semi-Supervised Aggregation of Classifiers
Akshay Balsubramani, Yoav Freund

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[abstract]

Spotlight: Thu Dec 10th 10:10 - 10:40 AM @ Room 210 A
Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #38
[tree, work, term, form] [ensemble, learning, prediction, set, framework, example, forest, machine, specialist, majority, yoav, lipper, optimal, label, conference, transductive, robert, predicting, predictor, weighting, paper, freund, evaluation, international, datasets] [unlabeled, labeled, performance, training, table, supervised, weight, predict, natural, incorporate, perform] [data, aggregation, test, true, corresponds] [algorithm, game, structure, edge, minimax, best, annual, setting, focus] [large, boosting, function, method, base, convex, problem, linear, optimization, main, combining, simply, practical] [random, error, vector, slack, randomized, min, theorem, correlation, idea, matrix, vote, well, consider]
Spherical Random Features for Polynomial Kernels
Jeffrey Pennington, Felix Yu, Sanjiv Kumar

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[abstract]

Spotlight: Thu Dec 10th 10:10 - 10:40 AM @ Room 210 A
Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #48
[exact, accuracy, negative, map, work, sum] [dimensionality, international, learning, conference, machine, supplementary, provide, measure, datasets, entire] [feature, transform, better, unit, training, input, performance, original, perform, question] [srf, kernel, fourier, approximation, mse, log, nonlinear, craft, compact, figure, completely, data, explicit, computational, applied, monte, stochastic, radial, carlo, usps, approximating, point, impossible, doubly, rff, distribution] [monotone, lower, number, bound, fact, time, focus, case, comparison, write, complexity] [function, method, large, linear, inverse] [random, polynomial, error, positive, theorem, order, spherical, vector, gisette, product, tensor, dimensional, analysis, consider, stable, additive, eigenvalue]
Matrix Completion with Noisy Side Information
Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon

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[abstract]

Spotlight: Thu Dec 10th 10:10 - 10:40 AM @ Room 210 A
Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #55
[quality, suggests, perfect, outperforms, pure, exact] [set, prediction, relationship, informative, space, propose, segment, learning] [feature, performance, better, level, effectiveness] [model, sample, log, observed, proposed, latent, true, compared, synthetic, standard, inductive, empirically, applied] [complexity, side, number, lower, algorithm, pairwise, lemma, item, achieve, underlying, bound, rij] [problem, general, convex, method, solve, function, regularized] [matrix, completion, dirtyimc, imc, error, noisy, clustering, consider, mccc, recovery, rank, low, result, noise, theoretical, svdfeature, random, relative, sparsity, signed, dirty, guarantee, statistical, recover, theorem, norm, orthogonal, min, trace, robust, analysis, solution, small, smaller, appendix, good, covtype, row]
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Brendan van Rooyen, Aditya Menon, Robert C. Williamson

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[abstract]

Spotlight: Thu Dec 10th 10:10 - 10:40 AM @ Room 210 A
Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #72
[potential, equivalent, equivalence, marginal, theory] [learning, label, optimal, class, set, risk, machine, approach, binary, space, robert, nearest, conference] [long, performance, neural, highly, table, training, pattern, processing] [distribution, equation, kernel, standard, minimising, computational, bernhard, change] [proposition, implies, learner, notion, bounded, probability] [loss, unhinged, convex, unh, hinge, linear, scorer, servedio, strong, function, flin, regularised, regularisation, minimiser, svm, call, minimisation, negatively, centroid, requires, manwani, general, established] [noise, corrupted, solution, symmetric, random, order, theorem, consider, pick, appendix, square, result, journal, condition, high, statistical, restricted, error, robust, denote]
Enforcing balance allows local supervised learning in spiking recurrent networks
Ralph Bourdoukan, Sophie Denève

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Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #4
[balance, potential, term, current, state, balanced, enforcing, form, represents, proportional, initial] [learning, system, optimal, approach, based, learned, cost] [network, recurrent, output, neuron, slow, membrane, neural, feedforward, input, spiking, presynaptic, learn, supervised, temporal, weight, previous, coding, plasticity, postsynaptic, activity, motor, decoding, fed, representation, learns, inhibitory, lateral, command, represent, wij, trained, generate, autoencoder, excitation, absence, synaptic, encoding] [spike, dynamical, equation, predictive, figure, varying] [feedback, connectivity, time, underlying, simple] [rule, fast, linear, local, global, assume, derive, top, scheme, note, presented, rate, projected] [error, matrix, desired, precise, vector, order, journal]
Semi-supervised Sequence Learning
Andrew M. Dai, Quoc V. Le

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #5
[document, state] [learning, gain, set, approach, improve, reported, task, prediction, machine, generalization, average, label] [sequence, lstm, recurrent, input, unlabeled, dataset, training, neural, table, labeled, sentiment, word, language, imdb, dropout, dbpedia, autoencoder, hidden, performance, text, previous, embedding, lstms, rotten, train, better, network, convolutional, supervised, validation, initialized, length, perform, image, newsgroups, amazon, output, google, experiment, pretraining, long, unsupervised, movie, deep, trained, paragraph, autoencoders, reading, modeling] [data, test, model, tuning, figure] [number, achieve, best] [method, linear, rate, additional, zhang] [error, analysis, good, achieves, result]
Learning both Weights and Connections for Efficient Neural Network
Song Han, Jeff Pool, John Tran, William Dally

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #12
[accuracy, energy, reduces, ratio, add] [learning, reduction, hash, optimal, john] [pruning, network, neural, layer, pruned, convolutional, deep, original, table, alexnet, retraining, retrain, fully, weight, connected, reduce, arxiv, preprint, processing, memory, training, dropout, imagenet, better, prune, input, alex, nvidia, brain, mobile, caffe, conv, image, dram, train, feature, green, flop, connection, output, prevent] [figure, model, computation, parameter, distribution] [number, size, remaining, total, access, structure] [regularization, loss, method, reduced, rate, storage, large, gradient, linear, second] [sparse, bit, error, iterative, center, sensitivity]
Unsupervised Learning by Program Synthesis
Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #15
[work, programming, search, probabilistic, domain, accuracy, form, supplement, inference, three, list] [learning, set, space, approach, example, integer, system, average] [program, grammar, synthesis, unsupervised, smt, visual, description, length, table, symbolic, stem, morphological, english, input, scale, image, morphology, learn, trained, encoding, svrt, training, network, language, linguistic, turtle, denotation, synthesize, regular, phonological, tense, parse, human, supervised, natural, representation, containment, articulation, imperative, care, sibilancy, optional] [model, data, prior, inductive, log, draw, figure, drawn, likelihood, observed] [number, algorithm, learner, write] [rule, solve] [noise, small, good, recover]
Deep Poisson Factor Modeling
Ricardo Henao, Zhe Gan, James Lu, Lawrence Carin

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #16
[topic, pfa, inference, hkn, factor, dirichlet, document, dpfm, dpfa, insulin, belief, rsm, zkn, news, lda, hierarchical, ftm, xmkn, hdp, gibbs, sbns, usage, count, sbn, multinomial] [binary, based, learning, set, active, subset, supplementary, medical] [deep, discriminative, layer, modeling, neural, performance, architecture, composed, learn, table, single, rbms, unit, word] [model, poisson, proposed, stochastic, variational, latent, data, mcmc, process, conditional, distribution, prior, bayesian, svi, sampling, test] [number, probability, size, algorithm] [global, top, local, function, logistic] [vector, correlation, analysis, column, matrix, scaling, consider, component]
Tensorizing Neural Networks
Alexander Novikov, Dmitrii Podoprikhin, Anton Osokin, Dmitry P. Vetrov

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[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #18
[factor, work, equal, corresponding, inference, refer] [international, learning, conference, allows, machine, paper] [layer, neural, weight, network, deep, memory, output, convolutional, hidden, input, processing, train, baseline, training, report, format, dataset, experiment, shallow, performance, perform, table, length, computer, mnist, tensornet] [test, wide, computed, computational, model] [number, size, time, case, algorithm, complexity, maximal] [gradient, large, linear, pass, top, method, loss, function, compute, core] [matrix, tensor, vector, compression, error, rank, consider, dimension, product]
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
Jiajun Wu, Ilker Yildirim, Joseph J. Lim, Bill Freeman, Josh Tenenbaum

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #8
[tracking, ground, three, position, inference, type, infer, probabilistic, work] [physical, galileo, mass, velocity, static, learning, based, prediction, account, space, ramp, scenario, behavioral, observing, experience, material, plastic, inferring] [object, human, engine, video, predict, friction, visual, shape, recognition, scene, frame, truth, deep, training, train, lenet, performance, evaluate, experiment, understanding, trained, inclined, helmholtz, representation, realistic, length] [model, generative, figure, simulation, test, estimate, latent, observed, compare, dynamical, mcmc, simulated, estimated, data, likelihood, target] [uniform, algorithm, knowledge, outcome] [averaging, oracle, note, mit] [vector, scaling]
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
Kevin G. Jamieson, Lalit Jain, Chris Fernandez, Nicholas J. Glattard, Rob Nowak

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 05:40 - 06:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #28
[work, cartoon] [learning, active, system, machine, set, queue, job, web, query, collection, based, supplementary, international, api, borda, conference, collected, crowd, experimental, nearest, platform, adaptively, request, select, provide, easily, robert, client, triplet, manager, selecting, example, goal, kevin, multiple, real, collect, accepts, software, submit, nmds, prediction] [embedding, answer, experiment, processing, caption, human, perform, labeled, performance, cognitive] [data, sampling, model, process, figure, uncertainty, kernel] [algorithm, adaptive, number, dueling, bandit, thompson, neighbor, ucb, time, focus] [update, large, worker, problem, simply, locking, linear] [random, application, order, unique, consider, design]
Character-level Convolutional Networks for Text Classification
Xiang Zhang, Junbo Zhao, Yann LeCun

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #10
[news, work, augmentation, constructed, term, discrete, topic] [learning, conference, datasets, machine, international, set] [convnets, dataset, text, convolutional, training, neural, deep, word, feature, traditional, table, language, review, input, yelp, character, convnet, lstm, amazon, dbpedia, layer, processing, semantic, natural, length, tfidf, article, output, corpus, embedding, thesaurus, sogou, labeled, largescale, network, title] [model, full, data, figure, polarity, applied, volume, raw, kernel] [number, size, testing, alphabet, best, choice, comparison, knowledge] [large, choose, function, linear] [analysis, well, distributed]
Winner-Take-All Autoencoders
Alireza Makhzani, Brendan J. Frey

[pdf] [rank by tf-idf similarity to this]
[abstract]

Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #11
[directly, largest, belief, map] [learning, conference, international, propose, machine] [convolutional, autoencoder, feature, autoencoders, trained, hidden, learn, deep, unsupervised, lifetime, dictionary, train, training, input, spatial, network, learnt, stacked, shallow, layer, representation, deconvolutional, coding, mnist, table, unit, image, dataset, encoder, receptive, labeled, better, toronto, performance, neural, decoder, maxout, relu, face, aggressive, wta, boltzmann, supervised, street] [figure, data] [size, achieve, algorithm] [svm, large, method, top, larger, local, linear, applying, problem] [sparsity, sparse, triangle, result, order, ieee]
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
Pascal Vincent, Alexandre de Brébisson, Xavier Bouthillier

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[abstract]

Oral: Wed Dec 9th 05:20 - 05:40 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #24
[corresponding, hierarchical, associated, exact, propagation, implicitly, timing] [approach, learning, cost, naive, class, based, respect, experimental] [output, layer, neural, hidden, gpu, input, softmax, network, representation, unew, training, weight, forward, language, vocabulary, word, deep, operation, embeddings, factorised, lst, incurs] [computational, target, proposed, computation, standard, figure, backpropagation, family, model, typically, sampling, change] [size, algorithm, complexity, time, probability, case, focus] [gradient, update, large, loss, compute, squared, cpu, computing, prohibitive, speedup, minibatch, problem, linear, updating, practical, function, din] [sparse, vector, error, matrix, dimension, spherical, suppose, theoretical, high, straightforward]
Color Constancy by Learning to Predict Chromaticity from Luminance
Ayan Chakrabarti

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #16
[corresponding, belief, accuracy, candidate, current, inference, map, ground, discrete] [set, empirical, based, individual, approach, learning, material, database, cost, task, minimize, consistent, learned] [color, illuminant, chromaticity, image, training, constancy, luminance, pixel, ambiguity, natural, scene, scalar, higher, previous, illumination, retain, blue, chart, purely, incident, table, truth, green, spatial, semantic, reasoning, gamut, trained] [true, observed, distribution, estimate, likelihood, computed, light, angular, stochastic, data, gray, variance, surface] [simple, number, algorithm] [method, global, function, note, simply, computing, gradient] [error, estimation, spectral, version, vector]
Precision-Recall-Gain Curves: PR Analysis Done Right
Peter Flach, Meelis Kull

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 05:40 - 06:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #25
[accuracy, corresponding, negative, decision, proportion, equal] [roc, score, precision, curve, recall, auprg, machine, calibrated, aupr, gain, operating, area, optimal, false, learning, class, harmonic, prg, contingency, set, threshold, auroc, calibration, rec, average, slope, conference, arithmetic, prec, precg, easily, measure, space, accc, relationship, international, recg, interpolated, instance, openml, binary, disagreement] [performance, hull, baseline, predicted, scale, visual, interpolation, table] [point, figure, true, model, demonstrate] [expected, lower, probability, choice, pareto, best] [convex, rate, linear, interpretation, chosen, combination, second, regression] [positive, random, analysis, theorem]
Pointer Networks
Oriol Vinyals, Meire Fortunato, Navdeep Jaitly

[pdf] [rank by tf-idf similarity to this]
[abstract]

Spotlight: Wed Dec 9th 05:40 - 06:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #22
[mechanism, three, variable, exact, corresponding, work, accuracy, discrete] [learning, representing, planar, set, optimal, allows, example] [output, sequence, input, attention, trained, hull, neural, training, length, delaunay, lstm, triangulation, salesman, dictionary, arxiv, preprint, rnn, table, travelling, encoder, decoder, learn, pointer, architecture, hidden, produce, network, recurrent, softmax, processing, represent, generalize, memory, oriol, ilya, better, tsp, turing] [model, figure, data, point, distribution, log, approximate, test, applied] [size, combinatorial, number, probability, simple, algorithm, complexity, time] [convex, problem, note, optimization, coverage, apply] [triangle, vector, solution, small, depends]
Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba, Ruslan R. Salakhutdinov, Roger B. Grosse, Brendan J. Frey

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[abstract]

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #14
[inference, work, reweighted, hard, soft, scaled] [learning, control, based, prediction, machine, class, approach, conference, international, task, reinforcement, effective, label, reward] [attention, network, image, training, neural, recurrent, glimpse, deep, trained, recognition, convolutional, predict, proposal, visual, train, caption, described, processing, reduce, performance, previous, dataset, encourage, learn, attend, generation, toronto, object, relevant] [log, stochastic, model, variational, posterior, generative, figure, distribution, variance, proposed, intractable, prior, computational, computed, university, standard, estimate, typically] [lower, bound, exploration, probability, time, choice, number, choosing] [gradient, method, chosen, objective] [good, high, weighted]
On-the-Job Learning with Bayesian Decision Theory
Keenon Werling, Arun Tejasvi Chaganty, Percy S. Liang, Christopher D. Manning

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[abstract]

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #15
[accuracy, state, making, tree, three, decision, current, work, pure] [system, learning, crowd, query, active, prediction, lense, based, utility, response, cost, ner, return, conference, turn, task, wait, example, ogs, set, george, threshold, label, received, location, loc, issued, machine, maintain, framework, latency, tnow, named, science, goal, optimal] [sentiment, computer, input, human, word, table, recognition, processing, image, face, token, performance, evaluate, neural, output, sequence, labeled, learn, entity] [model, figure, data, stochastic, university, bayesian, monte, full, test] [game, time, number, action, achieve, setting, resource, algorithm, chooses] [online, worker, crowdsourcing, choose] [high, department, order]
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding
Yuval Harel, Ron Meir, Manfred Opper

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[abstract]

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #26
[state, form, work, involving, gained, exact, refer, solved, interpreted] [optimal, curve, static, based] [neural, encoding, coding, decoding, sensory, previous, scalar, absence, neuron, hidden] [posterior, process, population, tuning, prior, variance, distribution, preferred, density, figure, gaussian, point, adf, observed, lack, spike, approximation, stimulus, dynamic, full, analytic, bayesian, approximate, stochastic, mse, standard, estimate, assumed, stdev, numerical, nonlinear, poisson, continuous, computed, monte, equation, carlo] [uniform, time, total, expected, case, limit, exp, graph, insight] [rate, closed, problem, linear, note, general, minimizing, fisher] [consider, center, relative, error, square, leading, independent, deviation, solution, ieee]
Backpropagation for Energy-Efficient Neuromorphic Computing
Steve K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, Dharmendra S. Modha

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[abstract]

Spotlight: Wed Dec 9th 03:30 - 04:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #13
[energy, accuracy, window, term, represented, ibm, type, represents] [approach, learning, binary, range, ensemble, class, international, system, set, achieved, precision, real, provide, allows] [network, training, input, neuron, synaptic, deployment, neural, synapse, truenorth, cij, neuromorphic, spiking, strength, hardware, layer, described, output, chip, connection, bias, deep, representation, performance, harry, train, san, topology, axon, trained, learn, weight] [backpropagation, equation, data, figure, spike, continuous, distribution, computation, target] [probability, number, achieve, time, connectivity] [core, gradient, mapping, loss, scheme] [sij, running, power, low, high, constrained, independent, random, weighted]
Spectral Representations for Convolutional Neural Networks
Oren Rippel, Jasper Snoek, Ryan P. Adams

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #17
[domain, map, symmetry, discrete, directly, considerably, factor] [dimensionality, learning, basis, allows, reduction, approach, machine, set, provide] [pooling, spatial, convolutional, input, output, layer, neural, representation, transform, convolution, training, cnn, deep, cnns, network, subsection, tend, resolution, natural, imagenet, dropout, generic, effectiveness, architecture, tiny] [frequency, dft, fourier, figure, conjugate, approximation, url, parametrization, data, stochastic, standard, corresponds, applied, computational, demonstrate, employ, introduce, ryan, parameter, powerful, test] [number, size, observe] [inverse, optimization, gradient, rate, speedup, note, function, max, regularization, linear, loss, fast, large, attain, convergence] [spectral, truncation, error, center, analysis]
Learning to Transduce with Unbounded Memory
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, Phil Blunsom

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #16
[state, work, accuracy] [controller, machine, set, learning, queue, based, consistently, example, provide, paper] [neural, sequence, stack, transduction, recurrent, memory, pop, read, training, described, previous, output, input, deep, learn, strength, lstms, lstm, push, language, rnn, rnns, layer, scalar, produce, natural, grammar, translation, enhanced, ability, deque, itg, operation, network, generalise, correctly, deletion, processing, verb, hidden, copying, generate, length] [source, target, model, test, data, continuous, figure, computational, synthetic, sample] [number, size, symbol, remaining, simple] [top, unbounded, presented, quantity] [vector, relative, well, row, ith, randomly]
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #9
[quality, three, interesting] [evaluation, based, set, task, score, learning, provide, machine, propose] [question, image, answer, word, visual, mqa, dataset, neural, human, lstm, layer, answering, weight, memory, generated, network, embedding, deep, single, arxiv, preprint, convolutional, freestyle, turing, representation, recurrent, fusing, softmax, generate, semantic, content, captioning, cnn, sharing, third, object, input, multilingual, long, bus, multimodal, lstms, chinese, activation, training, fully, performance, computer, sentence, reasoning, trained, gate, language, effectiveness, connected, adopt, table, english] [model, figure, test, sample] [conduct] [method, function, rate, loss, second] [component, matrix, dense, fourth]
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros, Richard Zemel

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #8
[ground, three, accuracy, work, currently] [approach, based, learning, evaluation, set, nearest] [image, question, object, dataset, daquar, answer, word, neural, generation, visual, color, cnn, recurrent, malinowski, caption, lstm, human, table, cocoqa, embedding, answering, sentence, wups, output, trained, training, language, embeddings, gao, layer, baseline, generated, blue, description, easier, performs, red, performance, evaluate, single, understanding, bow, convolutional, natural, imagenet, img, softmax, network, ability, text, release, picture, original, semantic, chair, suite] [model, figure, data, full, black] [simple, number, algorithm, common, similarity] [large, problem, simply, linear, limited, second] [blind, consider, well, vector]
Learning From Small Samples: An Analysis of Simple Decision Heuristics
Özgür Şimşek, Marcus Buckmann

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #11
[decision, accuracy, highest, three, negative, equal, making, symmetry, theory] [cue, learning, lexicographic, validity, criterion, set, examine, instance, earlier, deciding, empirical, success, tallying, psychological, informative, cart, require, learned, inferring, individual, respect, building, discriminates] [training, correctly, object, higher, single, performance, cognitive, learn, natural, better, trained, plane, human, processing] [data, figure, difference, predictive, university, bayesian, computational] [ordering, number, greedy, probability, simple, pairwise, comparison, size, maximum, best, time, focus, follow] [direction, logistic, method, function, rate, fast, progress, regression] [analysis, positive, order, small, denote, robust, well, consider, including, smaller, random, independent]
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Juergen Schmidhuber

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #10
[context, three, slice, scan, matter] [learning, achieved, entire, distance, reported, machine] [segmentation, brain, neural, lstm, input, pixel, image, hidden, isbi, layer, output, dataset, recurrent, convolutional, lstms, connected, memory, gate, plane, electron, topology, biomedical, volumetric, fully, network, rand, long, white, microscopy, table, handwriting, previous, neuronal, consists, contrast, challenging, dive, softmax] [figure, volume, data, full, equation, process, standard, applied, cell, mse] [size, number, case, comparison, time] [direction, pyramidal, large, apply] [error, provided, result, small]
The Poisson Gamma Belief Network
Mingyuan Zhou, Yulai Cong, Bo Chen

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #13
[gamma, pgbn, count, width, belief, binomial, gibbs, mkj, dirichlet, inferred, factor, document, depth, topic, jointly, accuracy, infer, xvj, gam, xvjk, sampler, add, multilayer, pfa] [binary, set, learning] [layer, hidden, network, deep, training, train, representation, feature, weight, connection, shape, trained, word, boltzmann, highly, modeling, scale] [sample, poisson, latent, model, data, process, distribution, sigmoid, multivariate, likelihood] [number, budget, bound, algorithm, upper, structure, strategy, clearly, calculate] [max, top, large, note, function, linear] [random, consider, distributed, product, analysis, classification, tmax]
3D Object Proposals for Accurate Object Class Detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G. Berneshawi, Huimin Ma, Sanja Fidler, Raquel Urtasun

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #12
[box, hard, ground, context, bounding, search, energy, potential, work, scoring, outperforms, depth, inference, selective, represents] [recall, threshold, approach, set, space, based, learning, class, existing, evaluation, road] [object, detection, iou, bing, mcg, proposal, kitti, overlap, moderate, cloud, autonomous, height, image, pedestrian, orientation, inside, stereo, occlusion, segmentation, convolutional, car, training, plane, higher, table, voxel, benchmark, performance, rgb, encodes, deep, represent, trained, challenging, indicates, scene] [point, integral, accurate, test, figure, model] [easy, best, size, number, fact] [method, free, compute, top, large, problem] [order, estimation, well]
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #15
[form, propagation, inference] [learning, binary, set, precision, machine, impact, international, conference, andrew] [training, deep, neural, binaryconnect, backward, forward, weight, yoshua, train, validation, arxiv, layer, hardware, consists, dnn, mnist, preprint, network, svhn, table, output, image, binarization, trained, dropout, dropconnect, processing, convolutional, benchmark, pascal, hidden, operation, unsupervised, report, retrain, previous, dnns, recognition, cnn] [stochastic, test, deterministic, expectation, figure, parameter, data, david, normalization, computation] [algorithm, number, referred] [method, sgd, rate, large, gradient, discretization, compute, specialized, depending, batch, linear, minibatch, update] [error, noise, regularizer, version, ieee, noisy, small]
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gael Varoquaux

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #14
[multinomial, sci, accuracy] [task, learning, space, experimental, reduction, dimensionality, generalization, psychological, set, individual, approach] [brain, activity, neural, ssflogreg, rest, neuroimaging, supervised, layer, hidden, hcp, performance, human, factored, voxel, mental, cognitive, network, autoencoder, higher, input, bottleneck, reconstruction, weight, autoencoders, bold, dataset, decide, feature, spca, unsupervised, processing, voxels, labeled, bias, performed, representation, logreg, fmri, watching, view, relevant] [data, model, latent, figure] [structure, discovery, lower, common] [logistic, regression, linear, problem, function, gradient, second, local, loss, parallel, optimized] [matrix, ordinary, component, ica, error, decomposition, statistical, correlation, random]
Training Very Deep Networks
Rupesh K. Srivastava, Klaus Greff, Juergen Schmidhuber

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Spotlight: Wed Dec 9th 11:35 AM - 12:00 PM @ Room 210 A
Poster: Wed Dec 9th 07:00 - 11:59 PM @ 210 C #4
[depth, accuracy, initialization, directly, mechanism, state, initial] [learning, set, based, help, hyperparameter, average, conference, dimensionality] [highway, deep, training, layer, network, neural, transform, plain, trained, convolutional, performance, gate, single, mnist, recurrent, output, rgen, activity, activation, deeper, better, maxout, table, fitnet, bias, input, long, hidden, shallow, jonathan, yoshua, feedforward, receptive, consists, james, initialized, learn, december, rupesh, gating, connected, net, architecture, pilot, transformation, processing, sepp, image] [figure, test, teacher, computational, equation, observed, change, computation] [best, number, routing, simple, comparison] [function, linear, large, gradient, rate] [block, random, column]
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems
Ruoyu Sun, Mingyi Hong

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Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #93
[bcd, factor, variable, ratio, type] [existing, example, provide] [better, question, table, previous] [derived, estimate, full, continuous, classical, nonlinear, family, data, point] [bound, complexity, algorithm, inequality, case, depend, prove, lemma] [cyclic, descent, problem, iteration, convex, coordinate, gradient, bcgd, bcpg, convergence, method, stepsize, smooth, pmax, pmin, quadratic, nonsmooth, general, lmax, constant, worse, second, siam, optimization, note, objective, improved, assume, sublinear, beck, lipschitz, max, rate, converges, unconstrained, subproblem, large, lmin, klk, main, combining, saha, gap] [block, analysis, min, special, journal, order, theorem, consider, randomized, achieves, lasso, popular, norm, random, result]
Cornering Stationary and Restless Mixing Bandits with Remix-UCB
Julien Audiffren, Liva Ralaivola

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Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #94
[agent, interesting, reduces, associated, markov, logarithmic, working, theory] [empirical, learning, machine, address, framework, policy, scenario, control, based] [sequence, encodes] [process, stochastic, sampling, point, classical] [arm, mixing, regret, time, bandit, case, waiting, stationary, algorithm, restless, bound, concentration, inequality, best, pull, upper, consecutive, study, proof, number, dependent, strategy, interval, xti, pulling, exp, remaining, bounded, proposition, auer, corollary, budget, increasing, independence, probability, focus, uniform, slowest, timepoints, pulled, suboptimal, notation] [problem, update, rate, note, epoch, decreasing, main, assumption] [theorem, idea, analysis, random, journal, order, correlation, solution, high, result]
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
Daniel J. Hsu, Aryeh Kontorovich, Csaba Szepesvari

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Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #85
[markov, state, accuracy, transition, group, width, initial, form, construction, work, theory, construct] [empirical, perturbation, based, learning, provide, approach, machine, space] [fully, length, valid, sequence, multiplicative, single, future] [sample, log, estimate, distribution, estimating, estimator, procedure, frequency, monte, data, mcmc, point, asymptotic, standard] [mixing, chain, probability, stationary, time, interval, path, lower, reversible, algorithm, tmix, minimum, number, unknown, bound, depend, proof, upper, prove, complexity, surely, smoothed] [gap, inverse, rate, constant, ergodic, convergence, max, main, large, problem, step, second] [theorem, matrix, spectral, estimation, random, unique, positive, eigenvalue, required, denote, appendix, consider, independent, order]
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
Sohail Bahmani, Justin Romberg

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Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #86
[accuracy, denoted] [set, based, empirical, optimal, framework, structured, approach, harmonic] [stage, produce, performance, subject, preprint] [estimate, target, log, standard, gaussian, proposed, applied, accurate, sample, numerical, computational, figure] [algorithm, fact, bound, proof, number, probability, lemma, property, feasible, inequality, simple] [convex, constant, method, problem, absolute, assumption, support, quadratic, established, main, solve, mathematical, minimization] [sparse, estimation, matrix, phase, sensing, signal, retrieval, compressive, cpr, theorem, restricted, isometry, positive, recovery, sparsity, vector, error, small, relative, suppose, desired, emmanuel, ieee, imaging, recovering, disjoint, random, exceeding, argmin, frobenius, trace, triangle]
Unified View of Matrix Completion under General Structural Constraints
Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh

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Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #87
[width, decomposable, work, key, term, intermediate, induced, form] [measure, structured, set, recall, provide, subset, example, existing, space, consistent] [arxiv, generic] [gaussian, sample, log, standard, localized, parameter, variance] [complexity, structural, lemma, upper, bound, case, proof, probability, partial, exists] [general, constant, convex, strong, convexity, linear, global, large] [matrix, norm, completion, theorem, estimation, dimensional, error, high, random, low, spectral, analysis, special, result, vector, recovery, rank, rsc, independent, spikiness, restricted, noise, denote, statistical, measurement, literature, singular, including, nuclear, encountered, cone, sampled, sparse, dantzig, incoherence, application, consider, studied]
Copeland Dueling Bandits
Masrour Zoghi, Zohar S. Karnin, Shimon Whiteson, Maarten de Rijke

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #88
[form, work, type, scalable, interested, called] [set, score, existing, based, supplementary, evaluation, experimental, provide, query, address, material, require] [better, experiment, single] [log, proposed, stochastic, sample, deterministic, university] [copeland, bandit, regret, dueling, condorcet, number, arm, algorithm, ccb, winner, bound, probability, preference, case, scb, lemma, expected, optimistic, pij, time, existence, pair, ranker, feedback, dependence, accumulated, pairwise, beat, arising, choice, upper, designed, setting, graph, rucb, pbr, social, comparing, netherlands] [problem, assumption, gap, choose, main, linear, large, online] [appendix, result, random, relative, theorem, consider, retrieval, matrix, small, uniformly, theoretical, min]
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa

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Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #89
[hard, logarithmic, intermediate, three, factor, discount, discrete] [optimal, set, empirical, instance, minimizes, consistent, select, paper, minimize, existing] [better] [log, dynamic, divergence, stochastic, cell, difference, sample, figure] [regret, algorithm, action, partial, monitoring, bound, learner, lower, bandit, game, minimax, feedback, number, cbp, easy, opponent, chooses, selects, lemma, strategy, bor, minimum, lai, probability, subroutine, outcome, study, inf, time, case] [loss, round, problem, large, optimization, derive, larger, linear, arg, optimality, convex, note, compute] [theorem, random, signal, appendix, solution, matrix, small, analysis]
Online Learning for Adversaries with Memory: Price of Past Mistakes
Oren Anava, Elad Hazan, Shie Mannor

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #90
[decision, work, trading, applicable, current, considered] [learning, framework, policy, prediction, approach, set, optimal, portfolio, memoryless, goal, switching, notice, supplementary, predictor, based] [memory, sequence, previous, recursive, performance, blocking, generate] [series, standard, model, continuous, assumed, equation, parameter] [regret, algorithm, player, best, bound, setting, time, probability, number, notion, bandit, expected, corollary, feedback, fact, notation, common] [loss, online, convex, oco, ahead, function, round, problem, lipschitz, assume, general, second, constant, reverting, suffer, main, cope, rate, note, elad, arg, optimization, technique, chosen, adapt] [min, statistical, low, consider, attains, studied, theorem, denote, vector]
Revenue Optimization against Strategic Buyers
Mehryar Mohri, Andres Munoz

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #91
[surplus, work, considered, motivated, term, theory, behave, factor] [set, learning, optimal, scenario, behavior, notice, provide, discounted, display] [previous, sequence, natural, fully] [log, distribution, proposed, dependency, continuous] [buyer, regret, seller, algorithm, strategic, price, revenue, bound, fact, truthful, amin, number, bandit, offered, time, auction, notion, repeated, valuation, expected, bounded, leighton, reserve, choice, kleinberg, achieve, admits, ucb, game, facing, selects, inequality, interact, adexchange, strategy, bid, setting] [problem, optimization, optimize, online, large, assumption, max, minimization, analyze, function] [consider, denote, random, well, analysis, journal, introduced]
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
Wei Cao, Jian Li, Yufei Tao, Zhize Li

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[abstract]

Poster: Thu Dec 10th 11:00 AM - 03:00 PM @ 210 C #92
[elimination, refer] [cost, set, reward, reduction, subset, instance, return, optimal, average, empirical, select, law, paper] [hidden, connected, table, previous] [sample, log, black, data, median, distribution, sampling, university, population] [algorithm, kavg, lower, bound, arm, complexity, probability, degk, vertex, number, edge, probe, upper, best, graph, degavg, bandit, amcv, exploration, degree, mentioned, expected, greatest, uniform, proof, deg, sorted, feasible, degi] [problem, round, applies, crowdsourcing, note, gap, avg] [bipartite, theorem, analysis, establish, selection, appendix, min, order, error, power, solves, solution, studied, guarantee]
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron Musco, Christopher Musco

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[abstract]

Oral: Tue Dec 8th 09:50 - 10:10 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #83
[work, accuracy, theory, mark] [optimal, set, paper, machine, stability] [amazon, better] [approximation, approximate, figure, full, data, prior, classical, typically] [algorithm, time, lemma, lower, number, acm, depend, degree, practice, fact, achieve] [iteration, top, computing, gap, large, requires, convergence, compute, method, siam, faster] [singular, error, block, krylov, norm, spectral, frobenius, vector, simultaneous, matrix, randomized, svd, analysis, zzt, rank, principal, small, lanczos, runtime, aat, random, guarantee, good, polynomial, subspace, stronger, independent, well, theorem, sketching, power, tail, component, symposium, orthonormal, quk, journal, span, smaller, version, theoretical, aligns, orthonormalize, finding]
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability
Xia Qu, Prashant Doshi

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #102
[agent, state, dbn, pomdps, multiagent, fscs, transition, observation, joint, exact, belief, candidate, initial, node, policing, intelligence, markov, analogously, prashant, denoted, tiger, ffbs, context, exploit, dbns, escape, bcd, fsc, updated] [planning, controller, set, maximization, interactive, uav, approach, international, policy, conference, space, based, improve] [level, forward, hidden, backward, scale, chance] [model, sampling, likelihood, log, mixture, distribution, expectation, speed] [time, structure, proposition, probability, greedy] [problem, coordinate, local, descent, function, convergence, rate] [journal, iterative, solution]
Super-Resolution Off the Grid
Qingqing Huang, Sham M. Kakade

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[abstract]

Spotlight: Tue Dec 8th 10:10 - 10:35 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #94
[separation, exact, factor, work, theory] [set, minimal, stability, learning, distance] [unit, arxiv, preprint] [point, frequency, sampling, univariate, computational, fourier, proposed, gaussian, log, standard, characteristic, applied, full, music] [algorithm, number, lemma, bounded, probability, bound, upper, complexity] [method, problem, max, assume, function, mathematical, linear, technical, siam] [tensor, random, matrix, cutoff, recovery, denote, stable, signal, condition, measurement, min, analysis, order, decomposition, pencil, rank, achieves, wmin, noise, column, high, consider, vector, small, recover, estimation, polynomial, journal, pick, dimension, theorem, unique, noisy, runtime, projection, positive, corrupted, superresolution, singular, symposium, moitra]
Minimum Weight Perfect Matching via Blossom Belief Propagation
Sung-Soo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin

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[abstract]

Spotlight: Tue Dec 8th 10:10 - 10:35 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #80
[perfect, blossom, auxiliary, belief, propagation, programming, map, called, intermediate, factor, tree, corresponding, cycle, coined, intelligence, graphical, termination, add, equivalent, claw, integrality, contracted, remove, assignment] [set, conference, minimize, collection, subset, multiple, space, provide, material, integer] [weight, subject, sequence, original] [matching, integral] [algorithm, vertex, minimum, graph, edge, number, exists, lemma, proof, tight, prove, combinatorial, cover, corollary, covered, terminates] [problem, step, update, choose, linear, main, solve, call, implementation, optimization] [solution, solving, odd, theorem, decomposition, bipartite, polynomial, design, guarantee, random, arbitrary, condition, relaxation, disjoint, distributed, result, running, popular]
Communication Complexity of Distributed Convex Learning and Optimization
Yossi Arjevani, Ohad Shamir

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #99
[accuracy, context, split, partitioned, work, interesting] [machine, learning, optimal, provide, average, set, empirical] [single, performance, better, question, future, previous] [data, point, computed, computational, parameter, full, standard, log] [lower, algorithm, number, bound, complexity, case, setting, structural, proof, study, prove, similarity, exists] [local, communication, convex, assumption, optimization, smooth, round, gradient, function, quadratic, computing, accelerated, satisfying, unrelated, linear, note, descent, solve, loss, attainable, strong, arg, optimum, convexity, method, remains, studying, designated, arbitrarily, larger] [distributed, required, statistical, randomly, result, well, theorem, span, consider, studied, random, small, matrix, vector]
Minimax Time Series Prediction
Wouter M. Koolen, Alan Malek, Peter L. Bartlett, Yasin Abbasi

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #98
[constraint, tracking, sum, term, theory, energy, induction, state] [prediction, optimal, learning, machine, conference, allows] [sequence, predict, natural, previous, driving] [data, series, gaussian, model, point, computation] [minimax, regret, time, complexity, algorithm, strategy, bound, best, learner, case, bounded, lemma, simple, lower, motivating, play, expert, game, setting, regularize, tridiagonal] [problem, linear, quadratic, comparator, loss, round, function, max, regularization, online, squared, convex, concave, derive, smoothness, manfred, method, objective, solve, peter, computing, update, inverse, apply, minimizer, wouter, main] [theorem, matrix, min, norm, analysis, square, consider, appendix, solution, order, noise, application, expression, block, weighted, condition, small, grow]
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
Tuo Zhao, Zhaoran Wang, Han Liu

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #101
[exact, observation, key] [framework, based, existing, computationally, class, set] [arxiv, preprint] [log, computational, divergence, sample, family, parameter, introduce, analytic, point] [lemma, proof, algorithm, corollary, implies, prove, exists, complexity, number] [optimization, nonconvex, gradient, minimization, oracle, convex, projected, descent, convergence, rate, problem, global, max, satisfy, main, assumption, iteration, coordinate, assume, large, linear, updating, converge, general, step, established, optimum] [matrix, alternating, rank, establish, low, singular, theorem, completion, min, estimation, decomposition, appendix, geometric, provided, suppose, factorization, sensing, condition, error, high, orthonormal, result, broad, ieee, benjamin, entry, nsf, smaller, establishes, theoretical, including, solving]
Explore no more: Improved high-probability regret bounds for non-stochastic bandits
Gergely Neu

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #100
[called, tracking, factor, current, theory, form, work] [learning, set, reward, propose, paper, environment, goal, empirical, allows] [performance, sequence, previous] [log, explicit, standard, equation, true, distribution] [regret, exploration, bandit, learner, probability, arm, bound, best, algorithm, setting, lemma, implicit, proof, proving, auer, exp, bubeck, expert, game, simple, choice, nonstochastic, inequality, concentration, observe, prove, corollary, minimax, number, strategy, audibert, conduct, action] [loss, problem, online, round, presented, linear, constant, general, improved] [theorem, hold, result, high, analysis, consider, leading, arbitrary, simultaneously, min, journal]
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
CHRISTOS THRAMPOULIDIS, Ehsan Abbasi, Babak Hassibi

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[abstract]

Spotlight: Tue Dec 8th 10:10 - 10:35 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #82
[work, corresponding, form, exact, motivated] [optimal, structured, prediction, set] [performance, sequence, arxiv, preprint, unit] [gaussian, standard, model, asymptotic, asymptotically, david, distribution, parameter, estimate, nonlinear, figure, derived, typical, series] [probability, unknown, case, number, structure, upper, tight, algorithm, link, choice, lim, limit] [linear, generalized, function, assumption, assume, convex, problem, arg, constant, note, general, converges] [lasso, error, precise, theorem, estimation, result, measurement, consider, analysis, signal, regularizer, solution, min, matrix, vector, recovery, role, solving, special, plan, sparse, ieee, proportionality, babak, quantization, constrained, independent, christos, andrea, condition, journal, compressed, xlin, random, vershynin, expression]
b-bit Marginal Regression
Martin Slawski, Ping Li

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[abstract]

Spotlight: Tue Dec 8th 10:10 - 10:35 AM @ Room 210 A
Poster: Tue Dec 8th 07:00 - 11:59 PM @ 210 C #81
[marginal, hard, form, term, corresponding, constraint, map] [optimal, approach, based, improvement, provide] [level, predicted, long, performance, scale, unit, magnitude] [figure, standard, applied, estimated, log, model, estimator, gaussian, likelihood, proposed, computational, compare, parameter, estimating] [choice, probability, bound, case, setting, proposition, increasing, lemma, algorithm, total] [regression, problem, linear, support, optimization, denotes, scheme, note, sense, loss, convex, convergence] [recovery, signal, compressed, consider, quantization, analysis, noise, min, error, iterative, estimation, mle, quantized, ieee, sensing, sparse, required, additive, norm, plan, random, expression, robust, compressive, bin, solution, well, noiseless, positive, thresholding]
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #6
[map, anchor, box, accuracy, negative, quality, selective, search, window, term, ratio] [system, set, effective] [detection, proposal, object, conv, region, rpn, voc, network, shared, pascal, convolutional, layer, image, feature, training, sliding, table, deep, trained, aspect, share, train, reg, detector, evaluate, predict, sharing, generate, person, overfeat, unshared, zwe, single, neural, rpns, scale, multibox, iou, code] [model, test, computation, fewer, accurate] [number, time] [fast, method, loss, regression, note, large, function, rate] [positive, running, simultaneously, result, vector]
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott E. Reed, Ming-Hsuan Yang, Honglak Lee

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #7
[novel, work] [learning, success, prediction, manifold, control, set, task, multiple] [network, pose, training, rotation, identity, image, chair, convolutional, object, recurrent, deep, rnn, input, angle, face, recognition, encoder, curriculum, view, generate, performance, synthesis, decoder, rotated, trained, synthesize, neural, clockwise, sequence, cnn, dataset, style, mental, disentangling, appearance, disentangled, morphable, discriminative, train, learn, better, extract, vision, perform] [model, figure, test, demonstrate, latent] [action, time, comparing, achieve, variation, offset] [step, problem, rate] [knn, well]
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling
Ming Liang, Xiaolin Hu, Bo Zhang

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #2
[context, map, depth] [approach, set, label, learning, science, machine] [rcnn, recurrent, scene, convolutional, neural, network, cnn, image, feature, labeling, training, layer, input, semantic, sift, flow, deep, trained, performance, table, parsing, recursive, patch, rcl, pooling, dataset, rcpn, rcls, cnns, natural, better, weight, grant, stanford, pixel, fully, predicted, unfold, tighe, shared, segmentation, benchmark, parameterized, extract] [model, figure, data, proposed, background, typical, nonparametric, frequency] [size, time, testing, number] [local, second, larger, max, global, denotes] [achieves, analysis, denote]
Grammar as a Foreign Language
Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #3
[tree, beam, mechanism, domain, dan, state, news, meeting] [score, set, web, learning, ensemble, reported, machine, achieved, example, produced, john] [attention, parsing, training, wsj, trained, neural, lstm, input, parse, output, sentence, berkeleyparser, syntactic, network, corpus, sequence, constituency, language, described, development, word, baseline, treebank, arxiv, single, preprint, dataset, parser, july, hidden, length, performance, recurrent, previous, google, highly, natural, text, match, long, encoder, parsed, hta, oriol, slav, petrov, dropout, stack] [model, figure, data, standard, test] [size, achieve, best, time, lower] [problem, large, second, call, incremental, general] [vector, small, statistical, achieves]
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction
Kisuk Lee, Aleksandar Zlateski, Vishwanathan Ashwin, H. Sebastian Seung

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #4
[map, three, window, nij, merge] [score, approach, learning, set, framework, multiple, example, evaluation, detect] [image, boundary, recursive, output, training, rand, znn, input, feature, detection, convolutional, trained, convnet, segmentation, deep, neuronal, convnets, neural, convolution, patch, architecture, tanh, relu, electron, network, resolution, reconstruction, performance, preliminary, dataset, original, higher, processing, piriform, microscopy, contour, layer, level, visual, train, mouse, brain, pixel, softmax, recursively, object, connected] [figure, applied, model, proposed, computation, data, test] [number, size, best, lower] [serial, global, fast, large] [dense, analysis]
Generative Image Modeling Using Spatial LSTMs
Lucas Theis, Matthias Bethge

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #5
[van, belief, tractable, corresponding, work, outperforms, state, evaluating, markov] [learning, set, international, ensemble, conference, allows, average, approach] [image, mcgsm, neural, pixel, deep, natural, ride, recurrent, training, hidden, spatial, modeling, processing, performance, memory, scale, dataset, lstms, unsupervised, table, convolutional, lstm, texture, patch, slstm, dead, icml, generated, trained, network, autoregressive, long, computer] [model, generative, distribution, conditional, gaussian, mixture, figure, capture, applied, factorized, sampling, test, stochastic, fij, extended, density, posterior] [neighborhood, causal, size, number, increasing] [large, larger, xij, note, simply, rate] [well, small, statistical, application]
Texture Synthesis Using Convolutional Neural Networks
Leon Gatys, Alexander S. Ecker, Matthias Bethge

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[abstract]

Poster: Mon Dec 7th 07:00 - 11:59 PM @ 210 C #1
[quality, perceptual, biological, work, map, reference, bernstein] [set, based, conference, international] [texture, feature, convolutional, network, layer, neural, image, generated, visual, synthesis, representation, object, spatial, deep, natural, original, gram, recognition, architecture, vgg, germany, trained, performance, synthesised, portilla, pooling, imagenet, generation, generate, computer, centre, simoncelli, processing, input, better, matched, fully, integrative, september, caffe, constraining] [model, summary, source, parametric, computed, computational, figure, university, procedure, proposed] [number, structure, increasing, total, stationary, size] [linear, gradient, loss, second, main, descent] [matrix, well, row, statistical, noise, center]