Below every paper are TOP 100 most-occuring words in that paper and their color is based on LDA topic model with k = 7.

(It looks like 0 = reinforcement learning, 1 = deep learning, 2 = structured learning?, 3 = optimization?, 4 = graphical models, 5 = theory, 6 = neuroscience)

Toggle LDA topics to sort by:
TOPIC0
TOPIC1
TOPIC2
TOPIC3
TOPIC4
TOPIC5
TOPIC6

Learning Stochastic Feedforward Neural Networks

Yichuan Tang, Ruslan Salakhutdinov

Yichuan Tang, Ruslan Salakhutdinov

[deterministic, algorithm, belief, total, state] [hidden, learning, output, test, trained, training, learn, face, dataset, sigmoid, table, weight, boltzmann, average, feedforward, input, large, image, learned, better, generative, second, performance, mlp] [binary, inference, multimodal, synthetic, network, generate] [stochastic, number, gradient, random, small, true, standard, proposed] [model, sfnns, distribution, conditional, sfnn, mixture, gaussian, log, sampling, modeling, conditioned, prior, facial, generated, posterior, figure, data, expression, exact, restricted, variational, selected, monte, carlo, residual, foreground, estimate, toronto, proposal, gibbs, hybrid] [density, note, structured, database, function, approximation, linear, set] [neural, noise]

Auditing: Active Learning with Outcome-Dependent Query Costs

Sivan Sabato, Anand D. Sarwate, Nati Srebro

Sivan Sabato, Anand D. Sarwate, Nati Srebro

[algorithm, bound, upper, return, best, setting, optimal, greedy, assume, conference, strategy, logarithmic, golovin, total] [learning, negative, class, unlabeled, large, labeled, learn, hidden, approach, international, work, achieve] [size, binary, factor] [error, number, true, random, reduction] [sample, dependence, distribution, positive, probability, respect, draw, journal, data] [active, auditing, complexity, label, hypothesis, cost, pool, query, set, realizable, agnostic, consider, point, passive, lower, general, theorem, version, machine, labeling, case, denote, lemma, result, dimension, function, approximation, minimizing, procedure, provide, easy, minimal, question, hold, depend, rectangle, consistent, access, select] [simple, threshold, corresponding]

A message-passing algorithm for multi-agent trajectory planning

Jose Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia

Jose Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia

[planning, algorithm, initial, agent, absolute, total, unconstrained, space, goal] [performance, multiple, international, based, approach, work] [local, global, associated, update, outgoing, variable, allows, graph, search, incoming, move] [optimization, method, convergence, admm, solve, number, supplementary, minimum, objective, solving, magnitude, standard, order, computing] [time, figure, wall, joint, describe, journal] [set, cost, problem, energy, solution, radius, function, bipartite, paper, min, consensus, maximum, formulation] [minimizer, velocity, trajectory, twa, minimizers, collision, coll, corresponding, static, robotics, logic, position, avoid, material, motion, kinetic, avoidance, receives, certainty, gcoll, account]

Inferring neural population dynamics from multiple partial recordings of the same neural circuit

Srini Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Hausser, Jakob Macke

Srini Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Hausser, Jakob Macke

[partial, bound, upper] [predict, approach, well, prediction, large, second, accuracy, predicted, predicting, dataset, better, performance, multiple, demonstrate, applied] [real, size, underlying] [method, true, matrix, number, random] [model, observed, data, naive, latent, estimate, computational, figure, joint, gaussian, time] [linear, subset, statistical, lower] [population, activity, imaging, neural, calcium, noise, stitching, coupling, neuron, imaged, recorded, connectivity, simultaneously, dynamical, system, stimulus, estimated, session, correlation, fully, inferring, simulated, mouse, awake, anesthetized, experimental, somatosensory, correlated, circuit, recording, infer, neuronal, whisker, cortex, unobserved, overlap, functional, correspond, presented, spiking]

Multi-Prediction Deep Boltzmann Machines

Ian Goodfellow, Mehdi Mirza, Aaron Courville, Yoshua Bengio

Ian Goodfellow, Mehdi Mirza, Aaron Courville, Yoshua Bengio

[best] [training, dbm, learning, trained, well, hinton, good, deep, mlp, net, hidden, salakhutdinov, layerwise, train, layer, dbms, boltzmann, negative, input, approach, predict, feature, better, generative, mnist, test, prediction, unit, weight, rbm, norb, centering, based, work, outperforms, performance, average, trick, ability, maximize] [inference, missing, probabilistic, perform, graphical] [standard, order, objective, number, solving, optimization, error, solve, stochastic, rate, performs, phase] [model, variational, log, sampling, markov, figure, centered, joint, observed, three, distribution, likelihood] [procedure, machine, set, point, approximation, simply, case, example, note, lower] [recurrent, single]

Adaptive Submodular Maximization in Bandit Setting

Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson, S. Muthukrishnan

Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson, S. Muthukrishnan

[expected, policy, item, adaptive, step, regret, gain, state, bound, greedy, algorithm, upper, choosing, choose, chosen, return, assumption, cumulative, episode, setting, assume, genre, bandit, optimistic, oasm, rated, arm, movie, highest, interacting, maximizing, elicitation, restrictive] [learning, based, learn, approach, learned, work, vector, second, context, applied, propose] [computed, sensor, associated] [number, analysis, method] [model, probability, distribution, selected, figure, major, observation, three, observed] [submodular, problem, maximization, function, max, machine, set, prove, studied, loss, main, dom, lemma, result, theorem, denote] [preference, user, study, earlier, viewed]

Approximate Inference in Continuous Determinantal Processes

Raja Hafiz Affandi, Emily Fox, Ben Taskar

Raja Hafiz Affandi, Emily Fox, Ben Taskar

[algorithm, space, sampled, provided] [based, similarity, quality, propose, approach, large, directly, accuracy, learning] [compute, synthetic, computed, real] [method, phase, matrix, dual, fourier, random, distance, eigendecomposition, number, error, wide, analysis, rate, spanned] [kernel, dpp, sampling, continuous, mixture, sample, dpps, discrete, repulsive, gibbs, iid, data, rff, probability, model, sampler, gaussian, entropy, posterior, modeling, conditional, diverse, full, approximate, three, distribution, inverse, selected, iris, estimate, considered, cdf, estimation, repulsion] [density, function, point, approximation, set, consider, case, complexity, note, machine, lower, approximating] [determinantal, range, activity, location, human, spatial]

Multiclass Total Variation Clustering

Xavier Bresson, Thomas Laurent, David Uminsky, James von Brecht

Xavier Bresson, Thomas Laurent, David Uminsky, James von Brecht

[total, algorithm, previous, simplex, conference, sum, initial, fact, step] [mtv, well, international, class, unsupervised, report, learning, image, vector] [clustering, vertex, graph, splitting, recursive, weighted, partition] [variation, convex, spectral, nmf, denotes, matrix, projection, cheeger, minimize, random, number, cut, requires, operator, exactly, optimization, grant] [data, discrete, continuous, model, figure, processing, form, university, equal] [set, function, energy, proximal, solution, indicator, relaxation, multiclass, transductive, problem, theorem, proxt, smooth, version, framework, rely, lsd, machine, note, denote, minimization, nmfr, tight, easily, subset, formation, manner, case, procedure] [sharp, simple, corresponding, constraint, exponent]

Reservoir Boosting : Between Online and Offline Ensemble Learning

Leonidas Lefakis, FranĂ§ois Fleuret

Leonidas Lefakis, FranĂ§ois Fleuret

[learner, online, algorithm, greedy, computationally, strategy, choosing, optimal, inria, conference, chosen, assumption, solely, best, maximizing, step] [weak, reservoir, boosting, learning, vector, geem, training, dataset, approach, propose, table, weight, based, work, practice, entire, common, computer, boosted, large, outperforms, performance, well, mnist] [weighted, size, ensemble] [number, iteration, method, matrix, proposed, covariance, row, order, optimization, comparison, column] [sample, sampling, process, computational, three, data, inverse, full, gaussian, expectation, address, model] [set, cost, subset, consider, budget, access, complexity, note, framework, case, main, dimension, loss, batch, discard] [presented, calculation, simple, refers]

Matrix factorization with binary components

Martin Slawski, Matthias Hein, Pavlo Lutsik

Martin Slawski, Matthias Hein, Pavlo Lutsik

[algorithm, step, linearly] [approach, achieved, second, box, performance] [binary, dna, compute, factor, candidate, contained, underlying, ground] [matrix, factorization, number, methylation, findvertices, uniqueness, reduction, solving, block, additional, small, order, alpha, random, analysis, nmf, hottopixx, scheme, quad, solve, coordinate, separable, row, singular, rank, checked] [data, figure, exact, independent, probability, mixture, model, drawn, approximate, parameter, discrete, computational, positive, indicates, bernoulli, referred, continuous, yielding] [problem, linear, case, set, theorem, solution, consider, result, dimension, condition, imposed, complexity, note, lemma, proposition, theory] [noise, corresponding, cell, constraint, single]

Learning to Pass Expectation Propagation Messages

Nicolas Heess, Daniel Tarlow, John Winn

Nicolas Heess, Daniel Tarlow, John Winn

[choice, goal] [learned, training, learning, approach, work, learn, challenging, sigmoid, target, evaluate, output, large, second, performance, context, experiment, forward, trained] [factor, message, inference, product, network, compound, probabilistic, incoming, compute, variable, implemented, propagation, passing, outgoing, xout, generate, person, graphical, directed, computation, allows, implement] [number, random, standard, true, rate, fast, computing] [model, distribution, gamma, sampling, data, approximate, gaussian, mixture, bayesian, posterior, figure, gaussians, expectation, drawn, sampler, drawing, accurate, generated, prior, family, marginal] [function, set, approximation, analytic, general, regression, framework, note, ball, formulation, program, cost] [neural, shape]

Latent Structured Active Learning

Wenjie Luo, Alex Schwing, Raquel Urtasun

Wenjie Luo, Alex Schwing, Raquel Urtasun

[algorithm, space, setting, step, exp, uncertainty, expected, employ, initial, advantage] [learning, prediction, labeled, training, unlabeled, test, context, supervised, image, performance, approach, large, task, output, amount, good, based, learn, composed, well, input, segmentation, feature] [variable, local, graph, inference, graphical, separate, computation, reduce, perform, extra] [random, number, error, proposed, convex, required, requires, order, convergence, iteration] [latent, joint, data, entropy, model, distribution, marginal, probability, time, selected, full, figure, likelihood] [active, structured, label, labeling, set, function, note, layout, problem, queriespixelwise, weakly, query, example, batch, interested, general, cost, paper, case, consider, select] [fully, single]

Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards

Thomas Bonald, Alexandre Proutiere

Thomas Bonald, Alexandre Proutiere

[arm, algorithm, regret, horizon, optimal, explore, lim, bandit, failure, policy, achieves, reward, exploration, exploit, bound, explored, anytime, best, exploited, expected, assume, fact, berry, played, current, total, previous, setting, sequence] [target, large, average, second, propose, based, consists, performance] [larger, beta, distributed] [number, unknown, random, rate, analysis, proposed, uniformly, stochastic, phase] [time, distribution, parameter, bernoulli, selected, probability, prior, length, considered, sampling] [lower, support, proposition, theorem, case, version, proof, consider, note, set, problem, equivalent, conjecture, prove, provide, statistical, inequality, close, asymptotically, general, function, denote] [uniform, depends, corresponding, respective, false, arbitrarily]

RNADE: The real-valued neural autoregressive density-estimator

Benigno Uria, Iain Murray, Hugo Larochelle

Benigno Uria, Iain Murray, Hugo Larochelle

[natural, previous, conference, chosen] [rnade, mog, training, hidden, autoregressive, learning, test, pixel, better, performance, image, zoran, work, output, scale, dataset, trained, table, nade, large, measured, boltzmann, timit, datasets, international, validation, speech, input, logl, predicted] [network, factor, size, graphical, represent, probabilistic, product] [number, standard, gradient, small, order] [mixture, model, data, conditional, distribution, gaussians, gaussian, likelihood, conditionals, modeling, parameter, figure, probability, processing, journal, discrete, restricted, minibatch, drawn, measuring, hyperparameters, component, sample] [density, machine, set, laplace, statistical, linear] [neural, range, sharing]

Multiscale Dictionary Learning for Estimating Conditional Distributions

Francesca Petralia, Joshua T. Vogelstein, David Dunson

Francesca Petralia, Joshua T. Vogelstein, David Dunson

[algorithm, assume, strategy, choose, space] [approach, scale, performance, learning, dictionary, applied, compare, accuracy, bottom, large, feature] [tree, variable, partition, graph, scaling] [cpu, subspace, decomposition, faster, number, random, dimensional, fast, error, standard] [conditional, data, multiscale, bayesian, msb, distribution, time, predictive, figure, estimation, computational, posterior, sample, journal, partitioning, nonlinear, estimate, ambient, model, cart, latent, mixture, including, probability, swissroll, manifold, simulation, prior, family, indicates, gaussian, three, nonparametric, measure] [density, linear, statistical, set, regression, function, example, union, dimension, lasso, estimating, note, selection, creativity, squared] [neuroscience, described, automated, fully]

Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima

Po-Ling Loh, Martin J. Wainwright

Po-Ling Loh, Martin J. Wainwright

[assumption, bound, observe, assume] [vector, applied, level, work, applies, predicted, class] [local, global, rsc, size] [error, gradient, optimization, descent, convex, regularized, write, require, objective, convergence, minimum] [log, plot, parameter, figure, form, sample, restricted, estimation, additive, probability, model] [statistical, linear, nonconvex, function, loss, regression, composite, theorem, theory, logistic, arg, corrected, min, optimum, program, scad, suppose, regularizers, penalty, case, corollary, opt, mcp, empirical, guaranteed, errstat, annals, consider, condition, establish, feasible, provide, convexity, main, loh, depict, lasso, constant, penalized, theoretical, hold, solution, problem, point, general] [population, strong, corresponding]

Rapid Distance-Based Outlier Detection via Sampling

Mahito Sugiyama, Karsten Borgwardt

Mahito Sugiyama, Karsten Borgwardt

[conference, best, assume, bound, algorithm, chosen, space, maximized] [detection, object, large, datasets, average, knowledge, score, qkthsp, international, table, performance, approach, better, discovery, qkthnn, introduced, outperforms, based, effectiveness, learning, inliers, randomly] [size, acm, implemented, local, cluster, sigkdd, computation, mining, scalability, neighbor] [outlier, number, method, qsp, small, outlierness, proposed, distance, analysis, popular, comparison, iterative, random, performs] [sample, sampling, data, time, probability, gaussian, parameter, computational, process, log, including, detect, respect] [set, complexity, theoretical, note, theorem, function, maximum, statistical, subset] [experimental, simple]

Better Approximation and Faster Algorithm Using the Proximal Average

Yao-Liang Yu

Yao-Liang Yu

[algorithm, assumption, sum, choice] [average, better, based, work, complicated] [group, improvement, graph] [convex, gradient, method, convergence, fast, analysis, proposed, norm, accelerated, objective, rate, siam, key, optimization, faster, alternating, solving, iterative, scheme] [component, figure, continuous, smoothing, approximate, journal] [proximal, map, approximation, nonsmooth, smooth, function, proposition, subgradient, fused, case, apg, lipschitz, example, point, simply, lasso, strictly, composite, moreau, easily, general, note, constant, consider, envelop, set, minimization, theoretical, iff, structured, clearly, clear, problem, denote, technical, machine, complexity, ultimate, statistical, fij, main, smoothness, linear] [simple, overlapping, recall, property, uniform, desired]

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture

Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, Lawrence Carin

Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, Lawrence Carin

[algorithm, step, current, setting, ddp, conference, exp, converge] [accuracy, learning, based, international, work, weight, tracking, dataset] [cluster, clustering, inference, nkt, update, zit, assignment, evolving, revived, yit, synthetic, computation, takeoff, science, plane, represents, transitioned] [number, random, comparison, distance, analysis, stochastic] [time, data, sampling, mixture, parameter, dirichlet, gibbs, process, particle, model, prior, gaussian, bayesian, asymptotic, variational, figure, aircraft, observation, distribution, sample, equation, three, computational, posterior, limit, nonparametric] [cost, set, label, point, function, machine, statistical, hard, labeling, penalty, construction, monotonically] [dynamic, dependent, timestep, trajectory, temporal, single]

Stochastic Convex Optimization with Multiple Objectives

Mehrdad Mahdavi, Tianbao Yang, Rong Jin

Mehrdad Mahdavi, Tianbao Yang, Rong Jin

[optimal, algorithm, assumption, online, bound, expected, regret, goal, sampled, assume, upper, randomness, attains, pareto, programming, ensure, long, satisfy] [multiple, learning, approach, domain, weight, average] [variable, update] [stochastic, objective, optimization, convex, convergence, dual, rate, high, violation, gradient, standard, bwt, analysis, method, order, constrained, robust, descent, proposed, exactly] [probability, respect, journal, approximate, replaced, university, estimate, distribution, address] [solution, problem, loss, function, theorem, min, machine, set, denote, max, lipschitz, inequality, consider, general, main, note, primal, proposition, linear, operational, constant, risk, decide, approximation, access] [constraint, uniform, estimated, simple, strong, term, subject]

Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion

Franz Kiraly, Louis Theran

Franz Kiraly, Louis Theran

[algorithm, multiplicative, bound, space, assumption, optimal, logarithmic] [mask, predicted, prediction, reconstruction, denoising, output, level] [path, missing, graph, edge, structure, reconstructible, cycle, partially, compute] [matrix, variance, error, rank, entry, aij, completion, oriented, basis, sign, minimum, algebraic, baij, noisy, optspace, true, norm, nuclear, method, exactly, reconstructed, order] [kernel, estimate, log, three, data, figure, observed, estimation, positive, independent, model, additive, exact] [estimator, set, theorem, unbiased, denote, combinatorial, linear, minimizing, case, consider, squared, estimating, lemma, polynomial, lower, function, proposition, theoretical, framework] [noise, blue, red, single, calculate]

Message Passing Inference with Chemical Reaction Networks

Nils E. Napp, Ryan P. Adams

Nils E. Napp, Ryan P. Adams

[belief, sum, algorithm, called, state, denoted, action, equilibrium, deterministic] [vector, representation, represented] [reaction, factor, chemical, message, network, variable, graph, ggggb, node, product, inference, concentration, gggggggb, mass, dna, represent, implement, passing, associated, graphical, computation, steady, unassigned, loopy, david, compiled, implemented, probabilistic, erik, strand, damped, compilation, incoming, computed, propagation, catalyze, compute, continuously, physical, ical] [random, order, implementation, small, rate, entry] [figure, marginal, probability, component, simulation, distribution, exact, discrete, equation, parameter, form, time] [set, procedure, linear, design] [molecular, correct, neural, change, system, simple]

A Kernel Test for Three-Variable Interactions

Dino Sejdinovic, Arthur Gretton, Wicher Bergsma

Dino Sejdinovic, Arthur Gretton, Wicher Bergsma

[total, appendix, space, sum] [test, based, dataset, embeddings, embedding, approach, table, learning, well, gram, second] [product, third, associated, partition, construct, graphical, mutually] [pairwise, norm, order, matrix, denotes, random, cumulants, canonical, dimensionality, standard, distance, factorization] [independence, interaction, kernel, lancaster, pxy, measure, joint, statistic, dependence, probability, testing, three, characteristic, nonparametric, independent, reproducing, hilbert, figure, distribution, inner, marginal, positive, null, conditional, kpxy, multivariate, detecting, mutual, detect, estimation, central] [signed, case, rkhs, hypothesis, empirical, consistent, dimension, proposition, provide, notion, straightforward, map, statistical, set] [corresponding, dependent, presence, correlation, correct]

Contrastive Learning Using Spectral Methods

James Y. Zou, Daniel Hsu, David C. Parkes, Ryan P. Adams

James Y. Zou, Daniel Hsu, David C. Parkes, Ryan P. Adams

[algorithm, state, difference, goal, sequence, appendix, trade, conference, assume, natural] [learning, learn, vector, generative, approach, word, hidden, feature, large, table, computer] [variable, associated, auc, disjoint, corresponds] [tensor, spectral, method, analysis, entry, recover, number, projection, matrix, accurately, variance, iteration] [background, foreground, contrastive, model, data, topic, mixture, latent, generated, power, chromatin, document, china, moment, markov, modeling, component, usa, emission, figure, probability, corpus, estimation, hmm, economics, independent, sample, process, university, illustrate, estimate, dirichlet, three] [proposition, set, linear, general, consider, statistical, main] [contrast, biological, exploratory, relative, neural, learns]

Lexical and Hierarchical Topic Regression

Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik

Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik

[setting, movie] [table, level, hierarchical, hierarchy, word, sentiment, amazon, sentence, supervised, negative, based, discover, vocabulary, second, jointly, type, work, better, token] [path, political, restaurant, structure, associated, shlda, lexical, node, tree, variable, agenda, congressional, assigned, chinese, nested, review, assignment, global, product, existing, sitting, group, pcc, combo, framing, slda, assigning, cnew, perspective, inference, factor, baby, science] [number, discussion] [topic, model, document, dirichlet, parameter, probability, draw, distribution, figure, latent, lda, sampling, positive, process, university, corpus, three, prior] [regression, set, mse] [response, single]

How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal

Jacob Abernethy, Peter Bartlett, Rafael Frongillo, Andre Wibisono

Jacob Abernethy, Peter Bartlett, Rafael Frongillo, Andre Wibisono

[price, option, investor, hedging, bound, minimax, pricing, asset, trading, game, sequence, strategy, upper, current, assumption, lim, hedge, assume, european, gbm, expiration, brownian, payoff, goal, totvarconstraint, previous, setting, jump, appendix, scholes, optimal, eventually, black, volatility, abernethy, payout, taylor, total, chosen, future, online, notice, supremum] [large, well, amount, learning] [underlying, path] [stochastic, call, variance, write, number, key, convergence, error, standard, largest, robust] [time, parameter, university, allow, model] [theorem, lemma, result, inf, function, proof, consider, prove, approximation, note, risk, weaker, paper, main, depend, budget, framework, converges, geometric, case, lower] [nature, constraint, described, term, desired, derivation, motion]

Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests

Yacine Jernite, Yonatan Halpern, David Sontag

Yacine Jernite, Yonatan Halpern, David Sontag

[algorithm, failure, share, identify, step, bound] [learning, learn, learned, hidden, test, negative, unsupervised, based, class, approach, triplet, shared] [quartet, structure, variable, network, singly, coupled, parent, depth, sontag, determine, third, halpern, binary, discovering, size, medical, subtracting, diagnosis, allows, subtraction, hauskrecht, tree, factor, candidate] [number, rank, error, method, spectral, order, analysis, tensor, supplementary] [latent, observed, bayesian, sample, parameter, probability, variational, model, figure, joint, data, mixture, three, distribution, discrete, full, mutual, university] [set, bipartite, lemma, polynomial, linear, case, example, complexity, result] [threshold]

Least Informative Dimensions

Fabian Sinz, Anna Stockl, January Grewe, January Benda

Fabian Sinz, Anna Stockl, January Grewe, January Benda

[space, choice, chosen, difference, maximizing] [learning, feature, approach, input, lnp, average, second, direct, extract] [computed, product] [subspace, optimization, method, matrix, gradient, objective, covariance, dimensionality, order, random, minimize, comparing, number, reduction, analysis] [informative, kernel, mutual, distribution, null, hsic, independent, probability, equation, data, estimation, mmd, entropy, figure, lid, triggered, electric, hilbert, estimate, form, measure, journal, reproducing, independence, respect, dependency, residual, poisson, detect, drawn] [problem, function, dimension, machine, case, linear, correctly, integral, empirical, weakly] [spike, neural, maximally, relative, neuron, single, stimulus, population, corresponding, complex]

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks

Junming Yin, Qirong Ho, Eric Xing

Junming Yin, Qirong Ho, Eric Xing

[algorithm, space, natural, sampled, bound, total] [large, representation, accuracy, table, based, approach, prediction, bag, better, compared, work] [triangular, network, mmsb, inference, role, triangle, local, eijk, open, scalable, link, global, synthetic, real, ijk, mmtm, runtime, vertex, ptm, social, size, parsimonious, heldout, stanford, update, distinct, edge, degree, motif, methodmmtm, gibbsptm, gibbsmmsb, represents] [stochastic, gradient, method, number, convergence, recovery, high, true, magnitude] [latent, variational, data, model, probability, time, gibbs, three, journal, figure, posterior, parameter, modeling] [batch, set, closed, lower, approximation, machine, complexity, statistical, converges, equivalence, hard] [term]

Adaptive dropout for training deep neural networks

Jimmy Ba, Brendan Frey

Jimmy Ba, Brendan Frey

[algorithm, belief, conference, free, achieves] [hidden, dropout, standout, learning, training, deep, trained, unit, mnist, feature, performance, norb, unsupervised, relu, discriminative, layer, input, compared, test, technique, shallow, momentum, mask, better, weight, achieved, learnt, activation, randomly, object, class, well, good, boltzmann, computer, improve, large, second, denoising, learn, dae, dataset, extracted, international] [network, binary, variable] [method, rate, error, sparse, standard, number, regularization, stochastic] [probability, data, distribution, posterior, figure, model, parameter, including, bayesian, approximate, process, likelihood] [set, function, machine, logistic, linear, result] [neural, described, viewed, produce, activity]

Efficient Online Inference for Bayesian Nonparametric Relational Models

Dae Il Kim, Prem Gopalan, David Blei, Erik Sudderth

Dae Il Kim, Prem Gopalan, David Blei, Erik Sudderth

[online, previous, natural, best, focus, bound] [learning, multiple, hierarchical, based, approach, well, large, learned, work, compare] [community, inference, pruning, relational, node, global, network, perplexity, edge, membership, ahdpr, synthetic, elbo, assortative, edgesperplexity, local, assignment, ammsb, littlesis, yij, truncation, auc, undirected, allows, relativity, pair, scalable, initialization, mixed, unbounded, link, associated, update, mass, graph, associate, degree, hdpr, pruned, nested, toy] [stochastic, number, sij, true, small, gradient] [variational, model, latent, observed, dirichlet, process, nonparametric, distribution, figure, probability, posterior, naive, allow, estimate, sampling, data, restricted] [set, structured] []

Adaptivity to Local Smoothness and Dimension in Kernel Regression

Samory Kpotufe, Vikas Garg

Samory Kpotufe, Vikas Garg

[space, assume, optimal, bound, adaptive, bounded, assumption, notice, algorithm, apply, changing, selecting] [metric, bandwidth, work, training, adapt, approach, input, output] [local, global, size, neighborhood, requirement, balance, diameter] [unknown, variance, high, error, method, analysis, statement] [probability, kernel, estimate, figure, selected, locally, sample, nonparametric, marginal, parameter, assumed] [lemma, regression, dimension, result, procedure, smoothness, main, problem, general, point, suppose, function, denote, proof, adaptivity, selection, eyjx, consider, vary, inequality, argument, note, notion, exists, close, theorem, stability, lepski, theory, hypothetical, depending, cover, adapts, set, argue, union, bias, proper] [intrinsic, simultaneously, change, term, viewed, corresponding]

Optimization, Learning, and Games with Predictable Sequences

Sasha Rakhlin, Karthik Sridharan

Sasha Rakhlin, Karthik Sridharan

[player, regret, algorithm, mirror, step, sequence, predictable, optimistic, minimax, online, game, round, adaptive, programming, observe, flow, play, bound, partial, upper, apply, playing, fact, converge, equilibrium, previous, arbitrary, setting, bounded, assume] [learning, second, vector] [mixed, update, size, extra, factor] [convex, optimization, descent, rate, number, argmin, method, matrix, gradient, small, application, order] [time, exponential, log, approximate, draw, entropy] [problem, lemma, inf, smooth, function, consider, max, set, result, complexity, suppose, case, solution, structured, procedure, simply, corollary, theory, version, provide, idea, linear, notion, point, prox, question, constant] [simple, uniform]

Approximate inference in latent Gaussian-Markov models from continuous time observations

Botond Cseke, Manfred Opper, Guido Sanguinetti

Botond Cseke, Manfred Opper, Guido Sanguinetti

[algorithm, assume, free, fact, notice] [approach, well, box, type] [inference, diffusion, computed, update, parallel, propagation] [canonical, stochastic, matrix, standard, supplementary, order, iteration, method] [time, continuous, process, gaussian, discrete, approximate, marginal, posterior, model, xtk, equation, likelihood, limit, prior, variational, exact, panel, latent, cseke, log, figure, expectation, marginals, form, multivariate, data, discretisation, processing, observed, journal, opper, sampling, modelling, distribution, family, heskes, university, discretised, zammit, moment] [point, function, loss, differential, general, consider, approximation, example, machine, linear, density, formulation, corrected, statistical, problem] [neural, corresponding, spike, left, term]

Linear Convergence with Condition Number Independent Access of Full Gradients

Lijun Zhang, Mehrdad Mahdavi, Rong Jin

Lijun Zhang, Mehrdad Mahdavi, Rong Jin

[algorithm, optimal, step, assumption, bound, assume, deterministic, sum, sequence, named, making, unconstrained, conference] [work, domain, learning, table, applied, based, average, achieve] [mixed, reduce, update, size] [stochastic, gradient, optimization, convex, number, objective, descent, convergence, iteration, emgd, oracle, rate, epoch, method, kwt, sdca, sag, proposed, order, call, random, siam, running, computing, rithm, kbw, matrix, analysis] [full, log, computational, probability, journal, data, university, respect, independent] [function, complexity, condition, smooth, linear, solution, problem, machine, access, lower, theorem, case, lemma, smoothness, consider, approximation, cost, composite, lipschitz, minimizing, set, point, general, loss] [needed, novel, cambridge]

Multi-Task Bayesian Optimization

Kevin Swersky, Jasper Snoek, Ryan P. Adams

Kevin Swersky, Jasper Snoek, Ryan P. Adams

[strategy, expensive, algorithm, best, uncertainty, gain, assume, space, online, previous] [task, learning, average, fold, hyperparameter, svhn, multiple, approach, evaluating, dataset, primary, acquisition, applied, large, knowledge, stbo, validation, scratch, evaluation, mtbo, cheaper, evaluate, training, feature, dynamically, usps, unit, better, based, baseline, mnist] [search, global, reduce, candidate] [optimization, error, objective, order, number, minimum, optimizing, standard, matrix, additional, small] [bayesian, model, gaussian, figure, entropy, hyperparameters, time, auxiliary, estimate, distribution, latent, university, observation, prior, process, grid, full] [function, machine, set, point, cost, framework, query, problem, consider, min] [neural, location, single]

Multilinear Dynamical Systems for Tensor Time Series

Mark Rogers, Lei Li, Stuart Russell

Mark Rogers, Lei Li, Stuart Russell

[stock, sequence, called, algorithm, state, complete, setting] [prediction, vector, video, applied, dataset, consists, trained, initialized] [probabilistic, product, real, synthetic, factor, distributed, member, size, structure] [tensor, matrix, projection, decomposition, number, dimensionality, factorization, error, analysis, tucker, mode, covariance, convergence, standard, random, factorizable, true, alternating] [model, mlds, time, lds, multilinear, latent, series, data, distribution, figure, likelihood, transition, normal, marginal, mat, modeling, bayesian, tesla, element, observation, expectation, rij, sliceerror, conditional, imjm, estimate, tion, drawn, respect, kronecker, ocean, volume] [set, case, complexity, general, function, consider, lemma] [dynamical, system, noise, ieee]

Restricting exchangeable nonparametric distributions

Sinead A. Williamson, Steve N. MacEachern, Eric Xing

Sinead A. Williamson, Steve N. MacEachern, Eric Xing

[sequence, total, arbitrary, sum, focus] [directly, feature, appropriate, better, text, negative, approach, table] [beta, represent, synthetic, binary, structure, law, distributed, atom] [number, row, random, matrix, column, error] [distribution, data, ibp, exchangeable, latent, model, restricted, process, predictive, conditional, zik, bernoulli, probability, restricting, poisson, family, indian, buffet, posterior, sample, exhibited, unrestricted, finetti, nonparametric, binomial, interpretable, equation, parameter, processing, allow, restrict, sampling, figure, restriction, university, measure, exchangeability, mixture, conditioned, gibbs, truncated, gaussian] [point, example, support, ball, set, construction, consider, subset, note, theorem, general, proposition] [described, neural, completely, corresponding]

Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting

Shunan Zhang, Angela J. Yu

Shunan Zhang, Angela J. Yu

[optimal, reward, bandit, belief, decision, arm, policy, expected, exploration, choice, best, previous, highest, choosing, future, sequential, algorithm, chooses, current, wsls, exploitative, explore, making, exploitation, total, option, gain, state, horizon, choose, special] [learning, dbm, knowledge, based, performance, people, average, task, better, second] [beta, science] [number, gradient, rate, standard, pairwise] [model, prior, data, probability, bayesian, figure, likelihood, posterior, assumes, distribution, computational, time, predictive, journal, bernoulli] [solution, complexity, problem, statistical] [human, trial, agreement, dynamic, behavior, behavioral, cognitive, control, simulated, assuming, term, estimated, experimental, early, myopic, stay, change, correct]

Probabilistic Movement Primitives

Alexandros Paraschos, Christian Daniel, January Peters, Gerhard Neumann

Alexandros Paraschos, Christian Daniel, January Peters, Gerhard Neumann

[controller, optimal, state, conference, policy, execution, step, reinforcement, introduce] [learning, vector, approach, international, target, multiple, learned, representing, learn, representation, activation, weight, illustrated, second] [probabilistic, conditioning, represents, product, allows] [variance, basis, phase, covariance, matrix, stochastic, order, denotes, exactly] [distribution, time, figure, model, gaussian, probability, joint, generated] [framework, set, machine, linear] [movement, trajectory, robot, control, desired, promp, promps, feedback, noise, system, modulation, rhythmic, combination, primitive, single, reach, blending, speed, blue, motor, varying, red, robotics, behavior, position, match, shaded, encode, temporal, crucial, ten, angle]

Policy Shaping: Integrating Human Feedback with Reinforcement Learning

Shane Griffith, Kaushik Subramanian, Jonathan Scholz, Charles Isbell, Andrea L. Thomaz

Shane Griffith, Kaushik Subramanian, Jonathan Scholz, Charles Isbell, Andrea L. Thomaz

[reward, action, policy, optimal, reinforcement, agent, state, mdp, goal, best, provided, algorithm, food, knox, exploration, assume, environment, worse] [learning, domain, approach, amount, work, performance, table, direct, performed, baseline, better, multiple, average, well, negative] [underlying] [number, true, robust, standard, oracle, updated, method] [estimate, probability, parameter, time, figure, grid, distribution, bayesian] [case, consistency, set, function, paper, water, machine, selection, problem] [feedback, human, bql, advise, control, shaping, frogger, reduced, biasing, moderate, sharing, inconsistent, infrequent, estimated, manually, integrating, ideal, signal, modify, produced, frequency]

Linear decision rule as aspiration for simple decision heuristics

Ozgur Simsek

Ozgur Simsek

[decision, cumulative, choose, natural, choosing, difference, making] [datasets, accuracy, object, weighting, performance, type, training, randomly, learned, unit, large, work] [binary, median] [number, error, order, regularization, comparison, rate, analysis, high] [base, figure, approximate, model, parameter, three, university, selected, estimate, positive] [linear, dom, approximation, criterion, approx, statistical, note, consider, depend, theory, max] [rule, dominance, simple, cue, lexicographic, noncompensatory, blue, numeric, environmental, relative, prevalence, corresponding, noncompensation, red, proportion, ranged, attribute, oxford, noncompensatoriness, higher, identical, psychological, behavior, cum, cognitive, refer, paired, examine, gigerenzer, dominates]

Online PCA for Contaminated Data

Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan

Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan

[online, algorithm, initial, previous, revealed, step, current, space, singapore, sampled, robustness, observe, sequence, provided, satisfy, total] [performance, large, based, learning, work, scale, propose, affect] [update, size, accepted, randomized, probabilistic, concentration, supported] [pca, robust, rpca, principal, proposed, authentic, outlier, small, fraction, method, incremental, rpcaonline, matrix, standard, variance, analysis, subspace, covariance, high, newly, number, updating, groundtruth, error, true, contaminated, arxiv, sequentially, preprint, sparse, supplementary, direction, mild, hrpca] [estimation, data, sample, component, process, time, national, figure, sampling] [batch, lemma, theorem, solution, case, set, proof, result, provide, ratio, converges, breakdown, theoretical, subset, point] [signal, noise, department]

Deep content-based music recommendation

Aaron van den Oord, Sander Dieleman, Benjamin Schrauwen

Aaron van den Oord, Sander Dieleman, Benjamin Schrauwen

[conference, msd, play] [music, audio, convolutional, usage, song, learning, deep, dataset, representation, approach, international, similarity, feature, predict, recommendation, large, trained, predicted, wmf, metric, jonas, traditional, recommending, predicting, vector, daft, content, punk, prediction, table, coldplay, semantic, train, training, listened, learned, well, evaluate, affect, enjoy, brian, implicit, mcfee, based] [factor, size, recommender, computed, variable, network, auc, weighted] [collaborative, matrix, objective, factorization, popular, gap, error] [latent, data, model, topic, processing] [regression, linear, subset, problem, machine, rely, map] [neural, user, retrieval, corresponding, preference]

PAC-Bayes-Empirical-Bernstein Inequality

Ilya O. Tolstikhin, Yevgeny Seldin

Ilya O. Tolstikhin, Yevgeny Seldin

[bound, expected, tighter, upper, seldin, bounded, interesting, setting, yevgeny, apply, space, errortest, provided, seeger, advantage] [learning, technique, bounding, prediction, average, based, datasets, vector, work, generalization, test, second] [synthetic, concentration, binary, supported, smaller] [variance, small, analysis, random, comparison, high, order, divergence, supplementary] [probability, distribution, sample, posterior, bayesian, draw, figure, gibbs, equation, data, prior] [inequality, loss, theorem, empirical, note, hypothesis, proof, regression, result, machine, function, john, uci, denote, ratio, provide, ball, case, derive, example, radius, sizeexpected, risk, hold] [greater, term, simultaneously, rule, presented]

Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs

Liam C. MacDermed, Charles Isbell

Liam C. MacDermed, Charles Isbell

[belief, decpomdp, algorithm, agent, policy, action, state, pomdp, best, utility, optimal, integer, conference, decentralized, strategy, current, decpomdps, decision, bounded, game, converted, previous, choose, multiagent, perseus, reward, sequence, discount, mediator, benchmark, autonomous, cbgs, anfce, horizon, backup, cooperative, history, pure, factored, space, free] [compression, international, improve, large, original, mapping, based, view, box] [existing, factor, underlying, search, merge] [number, solving, solve, iteration, phase, order, method, standard] [bayesian, observation, distribution, probability, joint, independent] [set, function, problem, program, linear, equivalent, approximation, solution] [continuation, dynamic]

Matrix Completion From any Given Set of Observations

Troy Lee, Adi Shraibman

Troy Lee, Adi Shraibman

[algorithm, bound, initial, optimal, assumption, proved, denoted, chosen, bounded, partial, deterministic, apply, revealed, choose] [output, target, generalization, second, performance, approach, vector, good] [real, product, motivates] [matrix, norm, trace, rank, completion, distance, random, dual, error, qij, sign, singular, agrees, minimum, pij, order, exactly, submatrix, minimize, incoherence, candes, noisy, retrieve] [probability, distribution, measure, sample, observed, exact, equal, respect, figure, lowest] [complexity, theorem, set, subset, problem, general, satisfying, max, min, denote, technical, prove, answer, version, result, minimal, consider, program, condition, linear, select, example, proxy, impossible, note, generalized] [property, recall]

Online Learning with Costly Features and Labels

Navid Zolghadr, Gabor Bartok, Russell Greiner, AndrĂˇs GyĂ¶rgy, Csaba Szepesvari

Navid Zolghadr, Gabor Bartok, Russell Greiner, AndrĂˇs GyĂ¶rgy, Csaba Szepesvari

[algorithm, regret, learner, online, round, bound, observing, probing, assume, space, lnnt, pay, best, bounded, special, option, achieves, expert, called, apply, goal, optimal, mannor, elp, choosing, conference, delayed, alberta] [learning, prediction, vector, feature, weight, based, predict, work, well] [purchase, priori, graph] [number, quadratic, denotes, standard, order, rate, requires] [exponential, distribution, probability, dependence, time, estimate, sampling] [loss, cost, case, problem, linear, function, label, predictor, consider, set, theorem, constant, note, lower, subset, exists, shamir, lipschitz, purchased, complexity, paper, indicator, covering, denote, discretization, construction, general, unbiased] [study]

Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions

Eftychios A. Pnevmatikakis, Liam Paninski

Eftychios A. Pnevmatikakis, Liam Paninski

[assume, total, expected] [vector, approach, image, large, reconstruction, multiple, traditional] [concentration, binary, induced, relation] [number, matrix, sparse, true, compressive, convex, compressed, phase, random, nonnegative, sparsity, method, basis, high, standard, error, analysis, required, recovery, singular, proposed] [estimate, probability, time, transition, observed, prior, log, length] [case, problem, statistical, solution, dimension, general, framework, linear, note, result, constant, empirical, point, cone, map, protocol] [imaging, calcium, sensing, spatial, timestep, spike, neural, estimated, neuron, snr, signal, noiseless, voxels, temporal, fully, spiking, undersampling, deconvolution, nature, examine, location, curve, study, cgt, normalized, microscopy, depends, described]

A Stability-based Validation Procedure for Differentially Private Machine Learning

Kamalika Chaudhuri, Staal A. Vinterbo

Kamalika Chaudhuri, Staal A. Vinterbo

[algorithm, best, apply, observe, provided, chosen, goal] [validation, training, learning, score, performance, output, train, good, based, generic, well, second, work, large, performed, input] [existing, auc, size, list] [random, convex, regularization, number, regularized, small, standard, optimization, objective, supplementary, practical] [parameter, data, respect, histogram, differ, figure, tion, exponential, model, alternative] [private, differentially, privacy, procedure, set, stability, differential, machine, linear, condition, density, theorem, loss, budget, logistic, adult, function, design, provide, statistical, case, regression, regularizer, denote, magic, perturbation, notion, select, hinge, result, composition] [single, change, control, experimental, ramp]

A Novel Two-Step Method for Cross Language Representation Learning

Min Xiao, Yuhong Guo

Min Xiao, Yuhong Guo

[algorithm, projected] [language, learning, unlabeled, cross, tsl, text, target, feature, semantic, bilingual, sentiment, representation, word, labeled, multilingual, vocabulary, based, training, monolingual, domain, indexing, english, performance, vector, translation, task, exploiting, represented, outperforms, average, test, concatenated, learn, baseline, efb, german, amazon, approach] [parallel, missing, source, product, perform] [matrix, method, proposed, gradient, descent, completion, analysis, convex, standard, number, row, projection, mij, optimization, operator, small] [data, document, latent, observed, three, figure, model] [set, problem, machine, function] [induce, chose, produce, adaptation]

Capacity of strong attractor patterns to model behavioural and cognitive prototypes

Abbas Edalat

Abbas Edalat

[assume, sum] [large, average, temperature, learning, technique, second, learned, boltzmann, compared] [network, degree, heuristic, hand, symmetry, distributed, real, law] [random, standard, number, method, square, convergence, stochastic, updating, exceeds, solve, solving, basic, error, computing, order] [equation, model, independent, distribution, probability, equal, positive, parameter, figure] [case, solution, theorem, theory, function, spin, stability, lemma, result, consider, general, constant, condition] [strong, pattern, capacity, replica, neural, storage, mathematical, simple, tanh, single, stored, retrieving, presence, attachment, behavioural, critical, memory, rule, attractor, erf, side, multiply, load, mathematically, correlated, recall, identically]

B-test: A Non-parametric, Low Variance Kernel Two-sample Test

Wojciech Zaremba, Arthur Gretton, Matthew Blaschko

Wojciech Zaremba, Arthur Gretton, Matthew Blaschko

[setting, choice, sum, apply, space] [type, test, average, gram, table, large, based, approach, multiple, experiment, feature, better] [size, median, computation, synthetic, computed] [error, number, variance, block, matrix, convergence, distance, method, order, averaging, high, minimum, rate, pairwise] [kernel, distribution, null, sample, gaussian, figure, data, mmdu, asymptotic, central, limit, bootstrap, estimate, testing, time, power, probability, mmdl, statistic, family, mmd, inner, computational, normal, pearson, blocktype, alternative, equation, independent, remains, gamma, measure] [empirical, theorem, hypothesis, set, approximation, selection, consistent, asymptotically, maximum, implies, complexity, converges, lower, statistical, estimating, function] [single, presented, mathematical, increase]

q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions

Assaf Glazer, Michael Lindenbaoum, Shaul Markovitch

Assaf Glazer, Michael Lindenbaoum, Shaul Markovitch

[algorithm, decision, introduce, expected, sequence, assume, space] [hierarchical, test, coverage, level, average, evaluated, trained, training, performance, learning, vector, introduced, hierarchy, multiple] [global, parallel, decrease] [method, number, averaged, dual, largest, outlier, objective] [data, distribution, equation, estimate, kernel, figure, estimation, probability, gaussian, hilbert] [ocsvm, quantile, program, solution, set, function, ratio, approximated, generalized, hmve, density, estimator, converges, uci, statistical, empirical, quantiles, ocsvms, suggested, support, provide, estimating, hyperplanes, note, lying, optimality, repository, generalize, solved, theoretical, paper, primal, john] [single, estimated, contrast, proportion]

Mid-level Visual Element Discovery as Discriminative Mode Seeking

Carl Doersch, Abhinav Gupta, Alexei A. Efros

Carl Doersch, Abhinav Gupta, Alexei A. Efros

[algorithm, space, previous, goal, adaptive] [visual, patch, bandwidth, dataset, discriminative, purity, feature, image, coverage, large, negative, work, detection, top, retrained, based, approach, discovery, learning, object, level, performance, multiple, well, svm, paris, street, divide, hog, training, denominator, unsupervised, maximize, visually, sidewalk, discover] [local, cluster, clustering, compute, mining, factor, nearest, perform, smaller] [number, gradient, ascent, method, mode, distance, proposed, standard, optimization, dimensionality, norm] [figure, data, element, lda, positive, kernel, distribution, include, analogous] [density, set, ratio, select, note, constant, lower, formulation] [scene, single, left, produce, higher]

Non-Linear Domain Adaptation with Boosting

Carlos J. Becker, Christos M. Christoudias, Pascal Fua

Carlos J. Becker, Christos M. Christoudias, Pascal Fua

[decision, space] [domain, learning, training, approach, feature, target, labeled, task, shared, learn, performance, common, boosting, large, acquisition, weak, segmentation, applied, boosted, image, test, challenging, well, supervised, aerial, trained, mapping, representation, jmlr, transformation, datasets, illustrated, amount, undergone, negative, outperforms, multiple, object] [source, path, tree, split] [method, leverage, gradient, number, unknown, minimize, projection, error, seek] [data, kernel, boundary, latent, model, road, full, histogram, positive, figure] [problem, linear, set, regression, case, loss, function, consider, maximum, solution] [adaptation, single, highly, olfactory]

Exact and Stable Recovery of Pairwise Interaction Tensors

Shouyuan Chen, Michael R. Lyu, Irwin King, Zenglin Xu

Shouyuan Chen, Michael R. Lyu, Irwin King, Zenglin Xu

[algorithm, optimal, step, movie, sum, special, sampled, partial, assume, apply] [performance, level, original, table, training, dataset, recommendation, large, work, tag] [degree, size, truncation, scalable, missing] [tensor, recovery, pairwise, matrix, noisy, rank, completion, convex, recover, number, error, singular, recovered, nuclear, optimization, norm, method, solving, recovering, constrained, svd, order, factorization, tijk, svt, bjk, operator, collaborative, uniformly, aij, denotes, standard, exactly, minimize] [interaction, exact, figure, time, observation, observed, model] [problem, program, solution, shrinkage, set, theorem, guarantee, result, minimization, minimizes, note, exists, suppose, easy, proposition, case, prove, theoretical, proof, general] [noise, temporal, stable, absence, relative, subject]

On Decomposing the Proximal Map

Yao-Liang Yu

Yao-Liang Yu

[sum, assume, goal, interesting, proved, apply] [learning, class, work, feature, domain, multiple] [increasing, compute, group, scaling, combine, collection] [norm, decomposition, convex, remark, symmetric, permutation, recover, sparse, key, order, denotes, siam] [journal, positive, restricted, continuous, additive] [proximal, map, corollary, theorem, function, dom, condition, case, subdifferential, proposition, note, invariance, implies, consider, example, clearly, set, proof, easily, iff, gauge, closed, main, composition, easy, regularizer, prove, exists, result, verify, paper, min, appeared, cone, hilbertian, constant, depend, convexity, hold, weaker, machine, nonsmooth, nontrivial, orthonormal, homogeneous, formula, linear, combettes, yaoliang, clear, indicator] [equality, implication, individual, simple, completely, trivial]

Polar Operators for Structured Sparse Estimation

Xinhua Zhang, Yao-Liang Yu, Dale Schuurmans

Xinhua Zhang, Yao-Liang Yu, Dale Schuurmans

[algorithm, appendix, optimal, current, space] [class, domain, approach, dictionary, demonstrate, unit, accuracy] [path, group, compute, variable, computed, network, local, computation, allows, edge, totally, atomic, corresponds, develop] [sparse, convex, optimization, operator, computing, norm, method, matrix, gradient, reduction, solving, sparsity, objective, number, faster, nonnegative, extend, proposed] [time, form, latent, data, computational, smoothing, figure, model, piecewise, three, log, accurate, conditional] [polar, gcg, linear, function, structured, regularizers, set, cost, max, fused, lasso, apg, consider, solution, note, problem, gauge, arg, case, proximal, easy, regularizer, secant, proposition, main, combinatorial, dom, tum, general, expressed, submodular, min, denote, subset] [simple, coding, corresponding, reduced, constraint]

A Gang of Bandits

NicolĂ˛ Cesa-Bianchi, Claudio Gentile, Giovanni Zappella

NicolĂ˛ Cesa-Bianchi, Claudio Gentile, Giovanni Zappella

[bandit, algorithm, payoff, contextual, reward, conference, regret, delicious, best, provided, assume, item, assumption] [context, vector, learning, content, recommendation, based, approach, datasets, tested, baseline, work, instance, improve, table, dataset, international, original, created, performance] [node, graph, social, network, cit, recommender, laplacian, smaller, clustering, contained, cluster, associated, update, distributed] [matrix, number, random, running, analysis, order, stochastic, standard, popular, block, high, unknown] [figure, time, independent, model, three, parameter, kernel] [linear, set, machine, multitask, clearly] [user, noise, described, corresponding, control]

Inverse Density as an Inverse Problem: the Fredholm Equation Approach

Qichao Que, Mikhail Belkin

Qichao Que, Mikhail Belkin

[space, setting, sampled, algorithm] [type, learning, shift, performance, unsupervised, test, based, labeled, training, well, table] [] [norm, regularization, optimization, analysis, error, operator, euclidean, method, random, spectral] [kernel, sample, inverse, data, parameter, estimation, sampling, hilbert, gaussian, measure, model, family, estimate, probability, independent, equation] [density, function, problem, ratio, integral, linear, rkhs, covariate, note, set, theoretical, estimating, arg, lsif, tikde, kmm, min, selection, loss, resampling, formulation, empirical, theorem, fredholm, solution, framework, fireq, firep, classical, approximation, version, representer, provide, machine, paper, fire, case, support] [simple, corresponding, assuming]

Robust Image Denoising with Multi-Column Deep Neural Networks

Forest Agostinelli, Michael R. Anderson, Honglak Lee

Forest Agostinelli, Michael R. Anderson, Honglak Lee

[optimal, adaptive, best] [denoising, ssda, image, training, type, trained, corrupted, deep, input, hidden, performance, test, mnist, stacked, speckle, ssdas, better, denoised, weight, tested, output, salt, learning, table, tang, vector, psnr, autoencoder, average, pepper, original, prediction, performed, layer, well, digit, activation, weighting, feature, pixel, good, corrupting, xie, achieved, radiation, dose, unseen] [network, determine, perform, medical, local, mixed] [column, noisy, error, sparse, method, robust, proposed, number, block] [gaussian, figure, data, poisson] [set, linear, function, statistical, border, loss] [noise, neural, signal, single, decoding, uniform, produced, ieee, encoding, performing]

EDML for Learning Parameters in Directed and Undirected Graphical Models

Khaled Refaat, Arthur Choi, Adnan Darwiche

Khaled Refaat, Arthur Choi, Adnan Darwiche

[algorithm, complete, start, initial, optimal, interesting, incomplete, previous] [learning, work, instance, negative, dataset, vector, average, approach, evaluate] [edml, inference, network, unique, graphical, feasibility, undirected, adnan, evidence, variable, originally, cxa, perspective, optimize, computed, probabilistic] [number, iterative, optimization, method, convex, soft, proposed, constrained, gradient, objective, faster] [parameter, bayesian, markov, equation, stationary, log, estimation, data, component, likelihood, conjugate, independent, form, derived, estimate, continuous, respect, approximate] [function, set, point, feasible, case, theorem, procedure, consider, denote, instantiation, example, optimum, problem] [corresponding, subject, constraint]

A Comparative Framework for Preconditioned Lasso Algorithms

Fabian L. Wauthier, Nebojsa Jojic, Michael Jordan

Fabian L. Wauthier, Nebojsa Jojic, Michael Jordan

[algorithm, focus, assume, upper, choosing, choice] [generative, propose, original, compare, instance, traditional] [variable, factor, induced, associated] [recovery, column, basis, preconditioning, comparing, diagonal, standard, supplementary, matrix, proposed, comparison, svd, singular, recover, lead] [parameter, model, gaussian, figure, data, journal, independent, three] [lasso, support, signed, penalty, preconditioned, lemma, selection, pbht, problem, set, theorem, general, hold, framework, paper, note, ratio, empirical, suppose, jia, continue, construction, statistical, case, comparative, rohe, jojic, theoretical, proof, provide, orthonormal, huang, denote] [estimated, noise, relative, depends, thought, left, paul, recall]

A memory frontier for complex synapses

Subhaneil Lahiri, Surya Ganguli

Subhaneil Lahiri, Surya Ganguli

[upper, state, bound, space, initial, equilibrium, subsequent, previous, assume, optimal, quantity] [entire, learning, average, achieve, well, maximize, work, performance] [structure, candidate, develop, understanding, network] [order, number, stochastic, supplementary, decay] [model, time, figure, transition, form, distribution, probability, chain, discrete, markov, process] [theoretical, theory, complexity, general, linear, set, result, function] [memory, synaptic, curve, area, snr, dynamical, potentiation, complex, envelope, molecular, internal, depression, single, described, storage, increase, stored, mpot, scalar, passage, achievable, late, functional, plasticity, potf, population, neuron, neural, early, synapse, simple, change, mathematical, strong, experience, mdep, reach, capacity]

First-order Decomposition Trees

Nima Taghipour, Jesse Davis, Hendrik Blockeel

Nima Taghipour, Jesse Davis, Hendrik Blockeel

[conference, sequence] [based, domain, international, exploiting, performed] [lifted, inference, randvars, isomorphic, node, dpg, probabilistic, propositional, logvars, factor, representative, structure, size, intelligence, dtree, lifting, tree, ground, lve, parfactor, group, grounding, liftable, elimination, counted, represents, width, allows, recursive, compute, interchangeable, prvs, variable, product, randvar, graphical, represent, logical, plm, den, nima, prv, read, leaf, van, guy, jesse, logvar, symmetry, operation, bijection, recursively] [decomposition, number, largest, order, analysis, standard] [model, counting, figure, joint, exact, exponential, form, replacing] [complexity, set, solution, example, result, problem, simply, theorem] [corresponding, single]

Marginals-to-Models Reducibility

Tim Roughgarden, Michael Kearns

Tim Roughgarden, Michael Kearns

[programming, algorithm, optimal, appendix, provided, decision] [class, description, instance, input] [inference, graph, assignment, size, vertex, induced, graphical, compute, network, probabilistic, progress, edge, variable, pair] [number, method, small, oracle, pairwise, dual, random, objective, solving, minimize, solve, reduction, optimization] [marginals, marginal, distribution, data, markov, joint, entropy, time, exponential, full, figure, length, independent] [problem, consistency, linear, consistent, map, polynomial, ellipsoid, separation, support, closest, program, consider, set, theorem, lemma, solved, maximum, function, max, reduces, generalized, algorithmic, primal, general, formulation, main, point, denote, straightforward, prove, provide, simply, suppose] [corresponding, single, reduced, constraint, subject, interest]

Accelerating Stochastic Gradient Descent using Predictive Variance Reduction

Rie Johnson, Tong Zhang

Rie Johnson, Tong Zhang

[option, apply, choose] [learning, training, large, prediction, average, explicit, randomly, view, simpler, test, vector, net, representation, second] [update, computation, larger, stage] [variance, gradient, rate, sgd, svrg, method, convergence, stochastic, convex, sdca, reduction, descent, zhang, standard, fast, optimization, number, roux, error, dual, faster, requires, order, iteration, random, nmnist, coordinate, comparison, require, sag, analysis, regularized, ascent, small, minimum, scheduling, decay] [expectation, figure, residual, parameter, data] [loss, inequality, consider, linear, nonconvex, case, logistic, smooth, set, problem, machine, min, regression, theorem, solution, cost, prove, example, easily, structured] [neural, rule, complex, reduced, memory]

Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking

Ryan D. Turner, Steven Bottone, Clay J. Stanek

Ryan D. Turner, Steven Bottone, Clay J. Stanek

[online, expected, algorithm, bound, complete, black] [tracking, detection, international, performance, accuracy, multiple, improved, compare] [assignment, inference, compute, associated, allows] [measurement, updating, method, standard, number, true] [posterior, data, rice, rcs, bocpd, variational, model, upm, exponential, family, log, distribution, radar, time, association, predictive, length, bayesian, prior, likelihood, exact, track, upms, latent, probability, aircraft, figure, rmse, estimate, conjugate, naive, imm, gaussian, joint, estimation, three, censored, component, marginal, process, sample, series, siap] [point, problem, lower, approximation, example, map, case, technical, machine, paper, derive] [change, clutter, snr]

Optimal Neural Population Codes for High-dimensional Stimulus Variables

Zhuo Wang, Alan Stocker, Daniel Lee

Zhuo Wang, Alan Stocker, Daniel Lee

[optimal, assume, bound, appendix, arbitrary, natural, space] [fisher, input, reconstruction, maximize, work, image, compared, activation] [degree, focused, product] [matrix, covariance, basis, variance, dimensional, optimization, minimize, rate, discussed, det, diagonal, number, scheme, fourier, plotted, high] [gaussian, distribution, prior, mutual, log, independent, model, figure, nonlinear, multivariate, component, university, analytically, marginal, process] [solution, loss, lower, result, problem, constant, simply, case, estimator, general] [neural, stimulus, population, encoding, tuning, diffeomorphic, coding, neuron, infomax, noise, calculate, code, decoding, sin, term, sigmoidal, curve, correlation, sound, unitary, encode, calculation, response, perception, sensory, pennsylvania]

Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis

James R. Voss, Luis Rademacher, Mikhail Belkin

James R. Voss, Luis Rademacher, Mikhail Belkin

[algorithm, step, arbitrary, choice, chosen] [vector, based, second, performance, invariant, work, technique, unit] [update, variable] [ica, order, matrix, random, cumulant, convergence, cumulants, fourth, fast, recover, analysis, gradient, number, robust, fastica, hessian, comparison, method, practical, iteration, whitening, noisy, requires, diagonal, indexica, samplesamari, pca, amari, orthogonalization, unknown, cubic, proposed, column, required, matlab, standard] [independent, gaussian, data, component, latent, observed, distribution, additive, estimate, white, univariate, drawn, equation, process, sample] [case, function, lemma, denote, note, theorem, separation, provide, complexity, paper] [noise, signal, blind, noiseless, neural, identity]

Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation

Martin Azizyan, Aarti Singh, Larry Wasserman

Martin Azizyan, Aarti Singh, Larry Wasserman

[bound, minimax, setting, assume, upper, optimal, computationally, expected, algorithm] [learning, feature, precise, computer, work, second] [clustering, relevant, variable, stage, mellon, vempala, symposium] [method, sparse, tan, small, high, spectral, standard, number, dimensional, error, principal, basis, rate, gap, require] [log, mixture, sample, probability, gaussian, gaussians, data, journal, component, distribution, estimation, spherical, university] [proposition, separation, selection, theorem, loss, proof, provide, max, case, complexity, lower, statistical, min, consider, theoretical, estimating, set, function, paper, isotropic, lemma, general, dimension, machine, subset, theoretic, chaudhuri, denote, witten, penalized, santosh, introduction] [sin, depends, simple, relative]

Predicting Parameters in Deep Learning

Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas

Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas

[factored, space, choice, conference, natural, choose] [layer, feature, learning, deep, dictionary, convolutional, hidden, weight, technique, prediction, predict, performance, rica, image, second, approach, trained, work, knowledge, training, predicted, input, scale, pixel, train, reconstruction, learned, visible, representation, architecture, directly, extremely, unsupervised, constructing, well, output, appropriate] [network, structure, size, reduce, connected, distributed, construct, local] [number, column, matrix, random, ridge, covariance, ica] [kernel, figure, parameter, model, prior, processing, data, exponential, full, form] [linear, squared, smoothness, set, paper, intuition, regression, function, case] [neural, dynamic, single, static, interpretation, fully, corresponding, described]

Estimating the Unseen: Improved Estimators for Entropy and other Properties

Paul Valiant, Gregory Valiant

Paul Valiant, Gregory Valiant

[algorithm, total, expected, appendix, bound, optimal, upper] [domain, unseen, approach, vector, large, work, performance, assigns, computer, second] [size, distinct, portion, occur, mass, science, nif] [number, distance, error, true, exactly, small, objective, random, analysis] [sample, distribution, probability, histogram, estimate, entropy, observed, naive, estimation, figure, data, poisson, drawn, independent, zipf, valiant, cae, parameter, mesh, three, returned, element, derived, sampling, likelihood, vopt, accurate] [estimator, linear, support, estimating, program, example, empirical, bub, consider, theoretical, statistical, function, note, set, constant, theorem, proof, hamlet, simplest] [uniform, property, consisting, plausible, contrast, population]

What do row and column marginals reveal about your dataset?

Behzad Golshan, John Byers, Evimaria Terzi

Behzad Golshan, John Byers, Evimaria Terzi

[algorithm, sequential, assume, step, observe, exploration, sum, introduce, computes] [hidden, input, dataset, large, datasets, generative, approach, better, experiment, accuracy, propose, vector, raw, average, jth, table] [binary, compute, size, computed, existing] [column, matrix, pdfs, row, simpleis, dataspace, number, knot, running, entry, computing, error, rasch, pdf, high, nola, implicitly, adjust, method, standard, realization, enumeration] [marginals, sampling, time, probability, estimate, data, model, rest, equation, distribution, prior, figure, sample, mcmc, university, observed, journal] [problem, set, dblp, polynomial, provide, function, statistical, estimating, framework, linear] [refer, cell, described]

One-shot learning by inverting a compositional causal process

Brenden M. Lake, Ruslan Salakhutdinov, Josh Tenenbaum

Brenden M. Lake, Ruslan Salakhutdinov, Josh Tenenbaum

[sampled, abstract, natural, previous, conference, start, algorithm, space] [image, learning, people, hbpl, character, deep, stroke, learn, hierarchical, visual, raw, handwritten, concept, better, boltzmann, computer, learned, type, turing, performance, scale, compared, test, tested, training, class, mechanical, argmax, evaluated] [generate, structure, inference, causal, mit] [analysis, error, number, rate, standard, variance] [model, figure, bayesian, generating, log, spline, distribution, three, drawn, posterior, approximate, grid, background, include, selected, causality, data, including] [machine, set, program, approximation, example] [motor, simple, control, ieee, pattern, neural, single, produce, human, rule]

Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators

Michel Besserve, Nikos K. Logothetis, Bernhard SchĂ¶lkopf

Michel Besserve, Nikos K. Logothetis, Bernhard SchĂ¶lkopf

[arbitrary, space, bounded, assume, lim] [test, type, approach, based, visual, well, vector, bottom, compare, performance, concept, similarity, window] [product, lfp, causal] [random, operator, norm, order, analysis, fourier, transform, matrix, pairwise] [time, kernel, series, independence, kcsd, estimate, hsic, figure, markov, biased, hilbert, measure, rbf, processing, dependency, gamma, band, independent, distribution, characteristic, centered, positive, parameter, reproducing, probability, null, bivariate, transition, data, enables] [theorem, statistical, linear, unbiased, density, general, framework, structured, lemma, case, consequence] [neural, frequency, complex, coupling, scalar, dynamical, activity, monkey]

Optimizing Instructional Policies

Robert Lindsey, Michael Mozer, William J. Huggins, Harold Pashler

Robert Lindsey, Michael Mozer, William J. Huggins, Harold Pashler

[policy, space, optimal, duration, strategy, focus, involves, explored, pomdp, goal, exploration, glopnor, grey, outcome] [training, category, learning, experiment, performance, test, traditional, fading, approach, accuracy, based, concept, large, evaluating, propose, evaluation, exemplar, technique, challenge] [search, represents, determine, pair] [optimization, number, noisy, optimizing, distance, method, additional, standard] [figure, gaussian, posterior, process, data, model, time, probability, observed, boundary, alternative, family, estimate] [function, set, design, optimum, label, budget, selection, statistically, teaching, consistent, parameterized, manner] [subject, experimental, instructional, ppf, individual, blocking, gpr, population, trial, student, cognitive, correct, reliable, human, presentation, psychological, indicate]

Integrated Non-Factorized Variational Inference

Shaobo Han, Xuejun Liao, Lawrence Carin

Shaobo Han, Xuejun Liao, Lawrence Carin

[bound, upper, optimal, deterministic, space, assumption, conference] [based, accuracy, compare, evaluated, dataset, sense, learning, quality, hyperparameter] [inference, evidence, global, nested, elbo, parallel] [method, divergence, gradient, number, square, matrix, numerical, proposed, norm, fast] [variational, posterior, bayesian, gaussian, grid, latent, inla, approximate, distribution, marginal, figure, accurate, mcmc, bayes, hybrid, mixture, marginals, model, computational, time, full, parameter, university, hyperparameters, normal, analytically, independent, journal, monte, exact, continuous, expectation, processing, joint] [approximation, lasso, laplace, lower, consider, solution, function, provide, statistical, minimizing, problem, regression, machine, theorem, linear, lemma] [integrated, neural, integration]

More data speeds up training time in learning halfspaces over sparse vectors

Amit Daniely, Nati Linial, Shai Shalev-Shwartz

Amit Daniely, Nati Linial, Shai Shalev-Shwartz

[algorithm, return, upper, bound, natural, item, assumption, pac, learner, choosing, assume] [learning, class, training, learn, large, supervised, task, output, technique, vector, instance, based, learnt, representation] [boolean, size, construct, assignment, supported, generate] [random, sparse, error, standard, small, number] [sample, data, probability, computational, positive, independent, distribution, form] [hypothesis, set, question, hardness, formula, theorem, lower, halfspaces, problem, refuting, proof, conjecture, complexity, exists, denote, answer, clause, improper, example, ratio, note, main, prove, theoretic, hard, impossible, result, case, agnostic, studied, consider, establish, israel, validity, statistical] [learns, consisting, produce]

(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings

Abhradeep Guha Thakurta, Adam Smith

Abhradeep Guha Thakurta, Adam Smith

[regret, algorithm, bandit, online, bound, sum, follow, nonprivate, previous, setting, sequence, leader, appendix, space, adaptive, partial, pftal, adam, satisfy, aggregation, step, cynthia, lipshitz, complete, replace, continual, optimal, variant, oblivious, fact, best, subsequent] [learning, input, work, output, vector, based, class, technique, entire, table, unit] [tree, smaller] [convex, gradient, analysis, quadratic, minimize, random] [time, approximate, full, parameter, data, log, dependence] [private, privacy, function, cost, differential, differentially, set, lower, theorem, loss, version, min, lipschitz, arg, general, consider, provide, approximation, linear, convexity, design, access, machine, ball, note, notion] [change, strong, stream]

Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions

Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes

Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes

[bound, algorithm, upper, optimal, follow, previous, tighter, cooperative, sum, logarithmic, apply] [learning, better, class, work, improved, training, concept, learn] [factor, spanning, graph, path] [constrained, cut, number, sparse, matching, minimum, nonnegative, random, optimization, imply] [log, approximate, time, form, figure, family] [submodular, function, approximation, curvature, lower, modular, corollary, lemma, set, monotone, minimization, polynomial, theoretical, combinatorial, problem, empirical, mub, version, concave, minimizing, theorem, approximating, general, tight, maximization, machine, cardinality, polymatroid, submodularity, implies, practically, prove, balcan, provide, main, solution, jegelka, factorn, pmac, surrogate, constant, case, matroid] [varying, normalized, depends, constraint]

ÎŁ-Optimality for Active Learning on Gaussian Random Fields

Yifei Ma, Roman Garnett, Jeff Schneider

Yifei Ma, Roman Garnett, Jeff Schneider

[greedy, satisfy, sum] [learning, unlabeled, class, labeled, outperforms, prediction, directly, accuracy, belonging, work] [graph, node, global, binary, undirected, loo, variable, network, toy, connected, search, larger, mellon] [random, covariance, matrix, objective, variance, reduction, nonnegative, optimization, application, high, number, largest, harmonic, spectral, diag] [predictive, model, gaussian, figure, data, markov, conditional, inverse, university, tion, alternative] [active, risk, grf, grfs, lemma, set, minimization, label, loss, theoretical, query, condition, criterion, optimality, example, machine, minimizes, subset, arg, theorem, function, citation, solution, survey, dblp, suppressor, lij, minimizing, zhu, suppose, regression, surrogate, submodularity, consider, approximation] [correlation, proportion, described, highly]

Learning Kernels Using Local Rademacher Complexity

Corinna Cortes, Marius Kloft, Mehryar Mohri

Corinna Cortes, Marius Kloft, Mehryar Mohri

[algorithm, bound, sum, optimal, bounded, choice, unif, observe, highest] [learning, based, class, tail, performance, multiple, report, svm, training, experiment, compare, generalization, average, test] [local, compute, existing, binary, global] [convex, optimization, standard, mkl, small, order, solving, matrix, trace, analysis, eigenvalue, fast, convergence] [kernel, data, family, probability, figure, journal, measure, base, gaussian] [rademacher, complexity, conv, notion, problem, machine, risk, hypothesis, tss, theorem, loss, function, design, result, theoretical, linear, set, point, case, consider, note, general, empirical, energ, proposition, exon, concave, min, denote] [strong, angle, supplemental, combination, material, determined, constraint]

Causal Inference on Time Series using Restricted Structural Equation Models

Jonas Peters, Dominik Janzing, Bernhard SchĂ¶lkopf

Jonas Peters, Dominik Janzing, Bernhard SchĂ¶lkopf

[algorithm, assume] [test, experiment, based, class, jointly, work, temperature, discovery, large] [causal, graph, structure, structural, inference, node, allows, dag, delay] [order, method, lead, true, require, asymmetry, call, number] [time, model, data, series, timino, instantaneous, nonlinear, additive, causality, wrong, independence, full, independent, iid, gaussian, undecided, infers, equation, granger, sample, multivariate, chu, restricted, shifted, pai, hsic, var, include, remains, figure, including, arrow, confounders, length, differ] [linear, theorem, summary, function, case, set, regression, condition, provide, simulate, lemma] [noise, correct, infer, corresponding, code]

Symbolic Opportunistic Policy Iteration for Factored-Action MDPs

Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli

Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli

[policy, action, opi, factored, state, symbolic, backup, bellman, algorithm, mpi, add, space, diagram, optimal, elevator, impact, decision, bounded, mdps, ring, actionssolution, denoted, computes, spudd, planning, reward, opportunistic, mdp, partial, violate, bottleneck, current, greedy, conference] [evaluation, better, domain, large, work, representation, computer, representing, dbn, compression, represented] [size, variable, pruning, parallel, root, scalability, leaf, structure, relational, person, larger] [iteration, number, running, true, lead, denotes, exceeds] [figure, time, limit, exact, probability, approximate, joint, full, equation] [function, compact, max, denote, procedure, example, sdp, version] [memory, constraint, dynamic, control]

Real-Time Inference for a Gamma Process Model of Neural Spiking

David Carlson, Vinayak Rao, Joshua T. Vogelstein, Lawrence Carin

David Carlson, Vinayak Rao, Joshua T. Vogelstein, Lawrence Carin

[algorithm, online, space, previous, partial] [multiple, well, vector, dictionary, performance, output, compare, truth, based, work, weight, detection] [cluster, inference, associated, ground, distributed, assigned, update, event] [number, rate, random, standard, supplementary, true] [time, process, model, data, poisson, bayesian, posterior, gamma, mixture, distribution, measure, prior, nonparametric, gaussian, drawn, parameter, university, dirichlet, probability, detect, journal, positive, three, residual, panel, figure, allow] [set, approximation, batch, note] [spike, neuron, waveform, overlapping, single, channel, intracellular, shape, spiking, recording, neural, noise, false, activity, electrode, voltage, sorting, marked, threshold, extracellular, earlier, multichannel]

Phase Retrieval using Alternating Minimization

Praneeth Netrapalli, Prateek Jain, Sujay Sanghavi

Praneeth Netrapalli, Prateek Jain, Sujay Sanghavi

[algorithm, step, sampled, natural, setting, variant] [vector, work, based, approach, applied, second, output, image, large, amount, better, good, performance, multiple] [initialization, underlying, correctness] [phase, matrix, alternating, random, phaselift, altminphase, measurement, convex, dist, recovery, standard, number, magnitude, solving, arxiv, key, preprint, sparse, method, convergence, error, solve, phasecut, diagonal, recover, analysis, success, fourier, denotes, recovering, rank, empirically, trace, whp] [log, gaussian, sample, figure, independent, computational, probability, normal] [problem, complexity, minimization, lemma, theorem, theoretical, case, sdp, note, solution, linear, proof, empirical, support, constant, paper, main, consider] [retrieval, complex, signal, greater, imaging]

Translating Embeddings for Modeling Multi-relational Data

Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko

Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko

[best, conference, natural, movie] [transe, training, learning, embeddings, relationship, embedding, head, test, entity, performance, tail, unstructured, corrupted, table, validation, raw, work, large, trained, award, lfm, knowledge, freebase, prediction, evaluation, vector, appear, learn, good, translation, predicted, well, rescal, scale, mtv, international, word, better, achieve, predict, approach, wordnet, dissimilarity] [link, relational, represent, corresponds, split] [number, rank, matrix, stochastic, method, gradient, factorization, tensor, optimization] [data, model, modeling, latent, selected, processing] [set, dimension, procedure, machine, ranking, lower] [neural]

Generalizing Analytic Shrinkage for Arbitrary Covariance Structures

Daniel Bartz, Klaus-Robert MĂĽller

Daniel Bartz, Klaus-Robert MĂĽller

[assumption, lim, behaviour, optimal, sequence, stock] [large, better, automatic, usps, average, table, performance, target, outperforms, tested, propose] [real, growth, structure, factor] [covariance, standard, matrix, orthogonal, error, largest, eigenvalue, high, number, analysis, dimensionality, regularization, random, variance, additional, small, letter, isolet, convex, low, rate, fourth, order] [data, model, sample, figure, lda, limit, journal, estimation, dependency] [shrinkage, analytic, complement, consistency, dispersion, portfolio, theorem, estimator, statistical, spoken, squared, exists, qda, derive, linear, procedure, prove, theoretical, min, selection, result, arg, eigendirections, lower, constant, tij, cost, machine, eighth, paper] [normalized, combination, left]

Flexible sampling of discrete data correlations without the marginal distributions

Alfredo Kalaitzis, Ricardo Silva

Alfredo Kalaitzis, Ricardo Silva

[algorithm, step, space, deterministic] [learning, approach, level, applied] [factor, compute, variable, structure, pair, smallest, graphical] [matrix, rank, number, standard, constrained, application, method, true, small, dimensionality, mode] [gaussian, sampling, copula, hmc, sample, time, data, discrete, travel, likelihood, distribution, model, latent, marginal, extended, multivariate, figure, truncated, hamiltonian, hough, mcmc, joint, bayesian, monte, chain, mixing, gibbs, univariate, carlo, cdf, conditioned, sampler, posterior, marginals, describe, markov, sinusoid, component, parameter, exact, observed, boundary] [linear, machine, framework, general, case, provide, function, hard, idea, structured, point] [correlation, blue, velocity, position, collision, red, constraint, envelope]

Adaptive Anonymity via $b$-Matching

Krzysztof M. Choromanski, Tony Jebara, Kui Tang

Krzysztof M. Choromanski, Tony Jebara, Kui Tang

[adversary, assume, utility, algorithm, adaptive, succeeds, released, compatible, usernames, ypublic, goal, explored] [level, achieve, handle, output, people, vector, weight, type, better] [graph, compatibility, degree, associated, person, edge, vertex, protection, color, node, social, forest] [anonymity, matching, symmetric, attack, number, random, sustained, entry, matrix, key, minimum, obfuscated, resilience, additional, gij, existence, permutation, asymmetric, method, article] [data, probability, advance, respect, family, perfect, figure, university, allow] [bipartite, privacy, set, case, database, problem, lemma, theorem, consider, relaxation, denote, approximation, provide] [user, single, desired, uniform]

Convex Tensor Decomposition via Structured Schatten Norm Regularization

Ryota Tomioka, Taiji Suzuki

Ryota Tomioka, Taiji Suzuki

[assume, sum, optimal, bound, appendix, deterministic, choice, linearly] [approach, performance, better, predicted, predicts] [group, factor, scaling, singleton, perform] [tensor, overlapped, schatten, rank, decomposition, norm, regularization, convex, mode, unknown, error, true, duality, minimum, matrix, performs, noisy, analysis, theoretically, empirically, optimization, dual, statement, proposed, sparsity, unfolding, siam, mink, completion, basic, tucker, spectral, call] [latent, figure, panel, data, multilinear, series, observation, mixture, gaussian, component, inverse] [complexity, structured, constant, note, inequality, technical, problem, mse, minimization, squared, lemma, theorem, consistency, minimal, solution, theoretical, lasso, loss] [noise, presented, simultaneously, study, depends]

Unsupervised Structure Learning of Stochastic And-Or Grammars

Kewei Tu, Maria Pavlovskaia, Song-Chun Zhu

Kewei Tu, Maria Pavlovskaia, Song-Chun Zhu

[algorithm, gain, natural, previous, initial, action, greedy] [learning, training, approach, image, learned, dataset, language, second, unsupervised, learn, context, video, multiple, based, table, type, better, well, applied, large, represented, representing, target, performance, computer] [grammar, fragment, nonterminal, search, event, atomic, node, terminal, structure, size, existing, third, relation, represents, product, viterbi, represent, perplexity, construct] [stochastic, method, number, order, proposed, iteration] [data, figure, probability, posterior, likelihood, sample, prior, model, testing, restrict, beam] [set, example, agnostic] [pattern, temporal]

Modeling Overlapping Communities with Node Popularities

Prem Gopalan, Chong Wang, David Blei

Prem Gopalan, Chong Wang, David Blei

[algorithm, bound, natural, step, notice] [learning, similarity, better, prediction, accuracy, test, large] [node, community, network, global, mmsb, inference, popularity, link, local, social, pair, strength, elbo, degree, develop, real, update, rab, collaboration, political, blockmodel, netscience, structure, optimize, american, size, probabilistic] [stochastic, amp, gradient, number, random, noisy, precision, small, coordinate, ascent, subsampling, iteration, objective] [variational, model, data, posterior, latent, predictive, respect, figure, estimate, draw, probability, observed, include, sample, journal, conditional, distribution, parameter, likelihood] [set, lower, indicator, unbiased, statistical] [single, capture, overlapping, explain, recall]

Learning from Limited Demonstrations

Beomjoon Kim, Amir massoud Farahmand, Joelle Pineau, Doina Precup

Beomjoon Kim, Amir massoud Farahmand, Joelle Pineau, Doina Precup

[policy, expert, apid, optimal, bellman, lfd, space, algorithm, lspi, demonstration, reinforcement, bound, upper, drl, assumption, state, api, goal, reward, initial, choice, agent, brake, dagger, mdp, current, outperformed, assume, focus, abundant, school, behaviour, canada, acceleration, mcgill, availability, iterationsaverage] [learning, supervised, well, performance, evaluate, large, compare, good, evaluation, approach, average, task, based, computer, margin] [real, science] [error, iteration, optimization, method, number, regularization, random, argmin, standard, distance] [data, approximate, figure, probability, university, estimate, three] [function, set, problem, complexity, turn, max, note, empirical, provide, machine, framework, case, regularizer, consider, linear] [robot, avoid, reach, control, velocity]

On the Complexity and Approximation of Binary Evidence in Lifted Inference

Guy van den Broeck, Adnan Darwiche

Guy van den Broeck, Adnan Darwiche

[conference, bounded, aaai] [learning, international, vector, represented, based, knowledge, technique, large, work] [evidence, boolean, lifted, inference, binary, unary, size, conditioning, bmf, relational, probabilistic, ground, mln, den, van, relation, mcmclifted, lmcmc, perform, guy, kld, web, logical, broeck, intelligence, predicate, webkb, pauli, davis, mining, adding, graphical, compute, represent, divergenceiterationground, lifting] [rank, matrix, factorization, computing, number, reduction, error] [approximate, exact, data, model, figure, mcmc, distribution, probability, marginal, investigate, posterior, full] [complexity, approximation, example, formula, set, condition, statistical, polynomial, theorem, result, problem, machine, consider, outer, main] [corresponding, circuit]

Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)

Francis Bach, Eric Moulines

Francis Bach, Eric Moulines

[algorithm, achieves, best, step, optimal, assumption, bound, assume] [test, datasets, performance, learning, training, average, large, achieve, better] [proportional, global, synthetic, size, smaller] [stochastic, averaged, rate, sag, convergence, gradient, newton, sgd, analysis, adagrad, square, quadratic, order, typically, sido, method, alpha, descent, convex, decaying, covertype, denotes, covariance, standard] [log, figure, data, markov, news, chain, expectation, independent, stationary, distribution, journal] [logistic, consider, approximation, constant, loss, point, regression, theoretical, support, note, function, linear, machine, close, convexity, converges, theorem, provide, complexity, effective, problem, denote, condition, excess, technical, proof, smoothness] [strong, control, novel, left, normalized]

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching

Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Muse, Guillermo Sapiro

Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Muse, Guillermo Sapiro

[algorithm, black, sum, linearized] [original, consists, performance, approach, compared, second, common, measured] [graph, multimodal, inference, group, adjacency, graphical, weighted, real, permuted, synthetic, faq, path, network, bter, elegans, vogelstein, chemical, publicly, underlying] [matching, matrix, permutation, proposed, collaborative, method, covariance, optimization, convex, det, error, solving, random, sparse, naturally, application, glag, number, doubly, analysis, solve] [data, log, inverse, figure, estimation, model, distribution, processing, university, joint] [problem, min, formulation, lasso, version, set, result, arg, case, solved, active, minimizing] [noise, fmri, presented, pattern, connection, experimental, described, brain, term, neural]

Transportability from Multiple Environments with Limited Experiments

Elias Bareinboim, Sanghack Lee, Vasant Honavar, Judea Pearl

Elias Bareinboim, Sanghack Lee, Vasant Honavar, Judea Pearl

[transportability, trmz, limited, conference, calculus, algorithm, diagram, observational, assume, estimand, menlo, interventional, aaai, bareinboim, goal, return, called, lee, previous, formal, special, age] [target, domain, knowledge, multiple, learning, work, test, based] [causal, source, structural, represents, collection, computable, induced, relation, intelligence, heterogeneous, edge, powerful, randomized, rewrite, subgraph, local, graphical, mit, variable, graph] [conducted, transport, call, computing, analysis, order, variance] [data, expression, estimate, national, university, model] [selection, set, theorem, consider, statistical, problem, condition, formula, example, note, procedure, general, provide, machine, corollary, paper, implies] [experimental, relative, rule, desired, infer]

Supervised Sparse Analysis and Synthesis Operators

Pablo Sprechmann, Roee Litman, Tal Ben Yakar, Alexander M. Bronstein, Guillermo Sapiro

Pablo Sprechmann, Roee Litman, Tal Ben Yakar, Alexander M. Bronstein, Guillermo Sapiro

[setting, algorithm, total] [learning, supervised, image, vector, pursuit, dictionary, reconstruction, music, training, transcription, learned, representation, convolutional, piano, well, denoising, performance, approach, achieved, better, metric, input, resolution, discriminative, feature, unsupervised] [network] [analysis, sparse, synthesis, fast, matrix, proposed, optimization, operator, admm, number, gradient, standard, iterative, polyphonic, regularization, solving, projection] [model, exact, data, form, inverse, respect, figure, university, computational, approximate, gaussian, extended] [problem, solution, loss, approximation, set, case, function, linear, consider, note, proximal, proposition, solved, version, map, framework, min] [bilevel, ieee, signal, neural, sensing, minimizer, depends, described]

Generalized Denoising Auto-Encoders as Generative Models

Yoshua Bengio, Li Yao, Guillaume Alain, Pascal Vincent

Yoshua Bengio, Li Yao, Guillaume Alain, Pascal Vincent

[algorithm, bound, apply, walk] [training, denoising, learning, reconstruction, dae, trained, input, score, generative, learned, amount, work, based, deep, rbm, feature] [local, associated] [true, regularized, implicitly, error, operator, small, matrix, random] [distribution, corruption, chain, markov, data, sampling, walkback, asymptotic, process, model, conditional, gaussian, manifold, generated, figure, sample, spurious, joint, contractive, limit, continuous, estimation, generating, marginal, estimate, likelihood, log, transition, probability, observed] [estimator, function, energy, consistent, density, converges, procedure, example, note, generalized, result, consider, criterion, minimizing, case, theorem, maximum, machine, idea, set] [noise, neural, estimated, interpretation, simple, capture]

Documents as multiple overlapping windows into grids of counts

Alessandro Perina, Nebojsa Jojic, Manuele Bicego, Andrzej Truski

Alessandro Perina, Nebojsa Jojic, Manuele Bicego, Andrzej Truski

[conference, algorithm, share, choose, space, best, modeled] [window, word, generative, text, based, bag, learning, learned, represented, embedding, dataset, multiple, evaluated, semantic, large, computer, usage, similarity, international] [size, characterized, generate, represents] [number, small, pick, standard, basic, analysis] [grid, counting, model, componential, distribution, lda, topic, latent, kernel, dirichlet, generated, ccgs, document, ccg, log, data, probability, mixture, modeling, component, pizza, equal, considered, multinomial, prior, figure, sample, sam, admixture, three, journal, allocation, spherical] [effective, linear, machine, set] [location, ieee, position, capacity, pattern, moving, area, highly, simple, described, thought]

Solving the multi-way matching problem by permutation synchronization

Deepti Pachauri, Risi Kondor, Vikas Singh

Deepti Pachauri, Risi Kondor, Vikas Singh

[algorithm, satisfy, natural, long, space] [image, large, computer, multiple, baseline, object, representation, work, supervision, feature, accuracy, based, approach, recognition, dataset, building, correspondence, common] [matchings, graph, assignment, structure, degree, ground, hand, mutation, house] [permutation, matching, matrix, synchronization, eigenvectors, pairwise, method, error, landmark, random, symmetric, orthogonal, leading, recover, tji, solving, eigenvalue, number, stereo, eigenvector, rank, array, distance, fig, column, small] [figure, form, probability, distribution] [problem, set, linear, note, proposition, solved, consistent, relaxation, arg, consistency, consider, condition, cost, paper, combinatorial] [correct, noise, normalized, shape, stable, rotation]

Robust Bloom Filters for Large MultiLabel Classification Tasks

Moustapha M. Cisse, Nicolas Usunier, Thierry ArtiĂ¨res, Patrick Gallinari

Moustapha M. Cisse, Nicolas Usunier, Thierry ArtiĂ¨res, Patrick Gallinari

[algorithm, best] [predicted, approach, large, training, prediction, datasets, test, learning, compared, frequent, based, improve, scale, appear, predict, performed] [bloom, size, representative, cluster, bit, mlc, binary, exclusive, mutually, incorrectly, multilabel, clustering, smaller, inference, plst, disjunctive, uhl] [number, hash, method, standard, robust, hamming, random, scheme, reduction, small, compressed, rate, error] [figure, positive, computational, probability, data, distribution, time] [label, set, loss, complexity, design, ratio, example, subset, cardinality, main, denote, theoretical] [encoding, decoding, code, false, single, strong, encode]

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies

Yangqing Jia, Joshua T. Abbott, Joseph Austerweil, Thomas Griffiths, Trevor Darrell

Yangqing Jia, Joshua T. Abbott, Joseph Austerweil, Thomas Griffiths, Trevor Darrell

[sampled, previous, total, space] [concept, learning, visual, generalization, vision, image, word, level, performance, perceptual, object, imagenet, dataset, task, work, learn, training, test, large, people, conventional, challenge, truth, score, baseline, hierarchy, instance, confusion, ilsvrc, validation, negative, compare, randomly, average, approach, better, tenenbaum, constructing] [node, leaf, existing, size, ground, subtree, science] [number, proposed, method, basic, precision, matrix, gradient] [bayesian, figure, probability, three, model, positive, prior, data, describe] [set, query, machine, hypothesis, example, note, problem, provide] [human, system, novel, cognitive, psychological]

Dirty Statistical Models

Eunho Yang, Pradeep Ravikumar

Eunho Yang, Pradeep Ravikumar

[sum, bound, assumption, previous] [multiple, work, class, well, instance, applied] [structural, structure, size, pair] [regularization, matrix, subspace, error, norm, sparse, analysis, principal, covariance, high, typically, key, robust, number, convex, incoherence, convergence, row, frobenius, exactly, elementwise, regularized, random, constrained, solve, decomposition] [parameter, model, log, component, respect, observation, probability, hybrid, restricted, sample, estimation, gaussian] [theorem, function, statistical, linear, suppose, consider, regression, loss, set, problem, condition, corollary, provide, superposition, decomposable, structured, general, proposition, framework, note, varied, max, derive, min, solution] [corresponding, strong, term, noise]

Locally Adaptive Bayesian Multivariate Time Series

Daniele Durante, Bruno Scarpa, David Dunson

Daniele Durante, Bruno Scarpa, David Dunson

[online, algorithm, state, adaptive, space, step, stock] [approach, dictionary, performance, second, dataset, based, well, large, vector, prediction] [factor, local, structure, update, computation] [covariance, updating, true, stochastic, matrix, proposed, order, analysis] [posterior, time, multivariate, model, lbcr, series, locally, bayesian, conditional, latent, figure, simulation, crisis, process, gaussian, continuous, gibbs, smoothing, distribution, prior, nonparametric, log, bcr, usa, data, nasdaq, dunson, journal, dependence, predictive, national, rapid, nsi, wishart, observed] [smoothness, regression, set, formulation, consider, shrinkage, selection] [varying, dynamic, simple, sharp, simulated, ahead]

Optimistic Concurrency Control for Distributed Unsupervised Learning

Xinghao Pan, Joseph E. Gonzalez, Stefanie Jegelka, Tamara Broderick, Michael Jordan

Xinghao Pan, Joseph E. Gonzalez, Stefanie Jegelka, Tamara Broderick, Michael Jordan

[algorithm, optimistic, conference, online, apply, state, inventory, execution] [learning, feature, international, work, large, preserving, unsupervised, approach, validation, second, based] [occ, distributed, cluster, serial, concurrency, ofl, accepted, scalability, parallel, facility, serially, clustering, global, runtime, scaling, size, serialization, existing, michael, product, operation, scalable, acm, communication, parallelism, supported, validated, serializable] [number, proposed, epoch, analysis, computing, additional] [data, processing, figure, process, generated, model, zik, probability, parameter, nonparametric, dirichlet, bayesian, perfect] [machine, set, approximation, point, cost, theoretical, easily, theorem, proof, database] [control, location, neural, pattern, strong, correct]

Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions

Ari Pakman, Liam Paninski

Ari Pakman, Liam Paninski

[algorithm, initial, space, state, jump] [work, approach, momentum] [binary, variable, move, allows] [coordinate, method, faster, order, proposed, quadratic, rate, random, arxiv, preprint, sparse] [hmc, model, gaussian, sampler, distribution, sample, time, metropolis, chain, markov, continuous, gibbs, monte, hamiltonian, particle, wall, sampling, truncated, ising, exact, carlo, figure, bayesian, prior, illustrate, boundary, piecewise, travel, computational, posterior, log, inverse, hill, successive, exponential, slab, journal, continues, orthant, discrete, multivariate] [regression, linear, consider, energy, case, statistical, interested, cost, clearly, problem, lower, function, solution, probit] [motion, hit, trajectory, leave, periodic]

Adaptive Step-Size for Policy Gradient Methods

Matteo Pirotta, Marcello Restelli, Luca Bascetta

Matteo Pirotta, Marcello Restelli, Luca Bascetta

[policy, bound, step, state, itmax, reinforce, bounded, difference, upper, action, pgt, expected, optimal, reward, advantage, natural, assumption, future, discounted, maximized, converge, supremum, episodic, scenario, deterministic, choice] [performance, learning, large, vector, table, approach] [size, starting, allows, pair, improvement, search, larger] [gradient, variance, number, convergence, error, small, basis, direction, uniformly, order, divergence, proposed, lead, quadratic, stochastic, norm, updated] [gaussian, estimate, distribution, stationary, positive, exact, parameter, probability, model, processing, generated] [lower, approximation, theorem, corollary, lemma, problem, function, consider, derive, provide, approximated, polynomial, case, guaranteed, estimator] [estimated, neural, control, speed]

Probabilistic Principal Geodesic Analysis

Miaomiao Zhang, P.T. Fletcher

Miaomiao Zhang, P.T. Fletcher

[space, exp, initial, algorithm] [vector, unit, truth, work, computer] [probabilistic, variable, ground, factor, parallel] [principal, analysis, gradient, sphere, euclidean, random, symmetric, pca, standard, matrix, denotes, proposed, variation] [riemannian, data, geodesic, manifold, model, latent, exponential, estimation, component, log, pga, tangent, derivative, monte, carlo, jacobi, corpus, ppga, distribution, callosum, normal, figure, parameter, expectation, gaussian, sample, normalizing, bayesian, processing, include, hamiltonian, nonlinear, covariant, base, likelihood, geometry, kernel, respect, hmc] [map, point, linear, set, maximization, note, procedure, function, maximum, formulation, integral, constant, density, denote, kendall, geometric] [shape, complex, estimated, rotation, term, velocity, neural, simulated]

Mixed Optimization for Smooth Functions

Mehrdad Mahdavi, Lijun Zhang, Rong Jin

Mehrdad Mahdavi, Lijun Zhang, Rong Jin

[algorithm, optimal, goal, assume, assumption, bound, making, setting, online, sequence, fact, sampled, step, deterministic, regret] [domain, improve, based, achieve, training, learning, average, approach, improved, amount, introduced, better] [mixed, size, compute, distributed, allows] [stochastic, gradient, optimization, convergence, rate, oracle, convex, number, objective, method, descent, small, kth, epoch, proposed, mixedgrad, optimizing, regularization, order, key, norm, sgd, variance, stochastically, accelerated, rgit, computing, call] [full, probability, parameter, journal, sample] [function, smooth, solution, loss, theorem, proof, smoothness, access, lemma, machine, main, problem, min, note, result, constant, cost, minimizes, set, consider, example, lipschitz] [strong]

Projecting Ising Model Parameters for Fast Mixing

Justin Domke, Xianghang Liu

Justin Domke, Xianghang Liu

[algorithm, total, bound, projected, converge] [original, based, accuracy, work, well] [strength, inference, edge, graph, tree, projecting, loopy, mixed, size] [divergence, euclidean, fast, norm, spectral, random, projection, matrix, gradient, number, singular, distance, computing, stochastic, method, descent] [gibbs, mixing, sampling, piecewise, ising, interaction, distribution, marginals, approximate, exact, time, markov, tractable, model, chain, exponential, parameter, lbp, respect, dependency, family, sample, estimate, rapid, stationary, probability, variational, intractable, accurate, univariate] [set, trw, consider, case, theorem, result, simply, general, density, guaranteed, approximation, guarantee, arg] [attractive, estimated]

Which Space Partitioning Tree to Use for Search?

Parikshit Ram, Alexander Gray

Parikshit Ram, Alexander Gray

[algorithm, bounded, best, conference, space, bound, chosen, worst, assumption, expected] [performance, margin, large, better, vector, based, dataset, improved, task, learning] [search, tree, quantization, depth, partition, neighbor, candidate, node, split, size, alternate, improvement, hyperplane, binary, nearest, smaller, traversal, clustering, explicitly, disjoint, corresponds, defeatist, balance] [error, distance, expansion, covariance, rank, hash, number, convex, hashing, dimensionality, imply, rate, random, principal, high, matrix] [data, partitioning, axis] [implies, set, theoretical, query, condition, result, theorem, constant, guarantee, consider, case, corollary] [region, balanced, ieee, depends]

Conditional Random Fields via Univariate Exponential Families

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

[] [learning, class, vector, learn, well, feature, based, common, computer, compared] [graph, graphical, structure, neighborhood, compatibility, size, node, undirected, corresponds, allows] [random, method, recovery, analysis, rate, arxiv, key, preprint, sparsity, sparse, regularization] [conditional, crf, distribution, exponential, gaussian, model, crfs, covariates, family, univariate, joint, data, form, poisson, ising, conditioned, multivariate, positive, observation, gene, parameter, three, figure, estimation, glioblastoma, rest, including] [set, theorem, covariate, consider, function, statistical, selection, suppose, provide, linear, distributional, general, framework, note, mrf, question, depend, consistent] [response, false, novel, corresponding]

Provable Subspace Clustering: When LRR meets SSC

Yu-Xiang Wang, Huan Xu, Chenlei Leng

Yu-Xiang Wang, Huan Xu, Chenlei Leng

[conference, deterministic, space, algorithm, assume, difference, absolute, assumption] [computer, international, representation, segmentation, unit, better, vision, learning, vector, large] [clustering, graph, disjoint, represents, connected] [subspace, matrix, spectral, ssc, sep, sparse, lrssc, singular, dual, norm, lrr, random, gap, analysis, incoherence, noisy, skewed, numerical, convex, remark, nuclear, inradius, block, robust, relviolation, sparsity, imply, sphere, diagonal, exactly] [data, log, figure, model, sample, probability, generated, distribution, parameter, illustrate] [solution, problem, condition, lemma, min, machine, theorem, example, set, constant, ratio, theoretical, selection, guarantee, studied, proof, main, linear, version] [connectivity, pattern, ieee, range, normalized, greater, correct, motion]

Stochastic blockmodel approximation of a graphon: Theory and consistent estimation

Edoardo M. Airoldi, Thiago B. Costa, Stanley H. Chan

Edoardo M. Airoldi, Thiago B. Costa, Stanley H. Chan

[algorithm, sequence, bound, step, expected, goal, optimal] [experiment, better, evaluate, large, second, performance, based, learning, similarity] [graph, missing, network, blockmodel, assign, size, vertex, mae, relational] [graphon, proposed, stochastic, number, usvt, bbi, random, block, dij, graphons, bdij, error, growing, matrix, bbk, bbj, row, method, distance, analysis, small] [sba, estimate, estimation, observed, figure, journal, exchangeable, probability, generated, independent, latent, data, parameter, nonparametric, ujv, continuous, piecewise, bayesian, model] [theorem, lemma, function, estimating, consider, consistency, estimator, procedure, idea, approximation, machine, theory, constant, empirical, consistent, statistical] [estimated]

Generalized Random Utility Models with Multiple Types

Hossein Azari Soufiani, Hansheng Diao, Zhenyu Lai, David C. Parkes

Hossein Azari Soufiani, Hansheng Diao, Zhenyu Lai, David C. Parkes

[agent, utility, algorithm, chosen, partial, choice, jump] [type, multiple, work, performance, based, propose, approach] [clustering, synthetic, real, inference, james, move, david] [number, random, matrix, method, order, true, proposed] [data, model, alternative, prior, posterior, journal, likelihood, log, interaction, grums, economics, figure, university, steven, estimate, mixture, observed, equal, estimation, economic, daniel, reversible, sample, consumer, parameter, probability, harvard, logit] [set, function, case, ranking, sushi, generalized, concave, theorem, grum, consider, proof, establish, provide, rjmcmc, suppose, theory, azari, select, theoretical, statistical, result] [involving, preference, unobserved, study, consisting, intrinsic]

Bayesian Hierarchical Community Discovery

Charles Blundell, Yee Whye Teh

Charles Blundell, Yee Whye Teh

[greedy, algorithm, worst, current] [hierarchical, work, hierarchy, better, large, top, propose, score, approach, learning, scale] [tree, bhcd, community, structure, network, social, adjacency, relational, inference, whilst, irm, binary, edge, forest, partition, merge, cluster, discovering, blockmodel, monastery, pair, merges, computed, formed, root, factor, local, corresponds, rose] [number, stochastic, sparse, block, iteration, matrix, faster, method] [model, bayesian, figure, likelihood, data, time, probability, prior, predictive, marginal, nonparametric, log, latent, computational, full, observed, describe] [complexity, yield, case, procedure, consistent] [potential, inferring, single, connectivity, neural]

Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result

Paul Wagner

Paul Wagner

[policy, optimistic, natural, greedy, step, optimal, oscillation, reinforcement, methodology, vanishingly, established, special, interpolation, algorithm, action, origin, limiting, converge, markovian, conference, deterministic, current, programming, state, bounded, decision, focus, difference, permit] [learning, evaluation, temperature, class, vector, approach, well, international] [size, improvement, factor, understanding] [convergence, gradient, stochastic, iteration, uniformly, distance, small, practical, direction, lead, sustained] [parameter, approximate, gibbs, form, figure, process, extended, journal, monte, markov, carlo] [function, case, optimum, point, theorem, result, problem, effective, close, optimality, consider, machine, subset, general, version, map] [dynamic, term, neural, assuming, behavior]

Predictive PAC Learning and Process Decompositions

Cosma Shalizi, Aryeh Kontorovitch

Cosma Shalizi, Aryeh Kontorovitch

[algorithm, bound] [image, based, large, work, better] [local, degree, structure, existing, associated] [sparse, additional, column, exactly, unknown, analysis, proposed, variance, comparison, operator, true, norm, homotopy, optimization, sparsity, projection, typically] [log, model, kernel, estimation, figure, form, process, element, bayesian, likelihood] [function, penalty, cost, concave, min, note, selection, simply, general, theoretical, result, regression, paper] [blur, deblurring, blind, camera, blurry, sharp, noise, estimated, uniform, shake, motion, relative, greater, deconvolution, concavity, normalization, single, simple, continuation, meaning, gupta, reparameterization, hirsch, blurring, undesirable, viewed, harmeling, joshi, corresponding, whyte]

From Bandits to Experts: A Tale of Domination and Independence

Noga Alon, NicolĂ˛ Cesa-Bianchi, Claudio Gentile, Yishay Mansour

Noga Alon, NicolĂ˛ Cesa-Bianchi, Claudio Gentile, Yishay Mansour

[regret, bound, action, observability, setting, algorithm, dominating, bandit, upper, uninformed, player, expert, reveals, adversarial, called, partial, optimal, variant, logarithmic, playing, observe, learner, greedy, online, quantity, elp, sequence, step, current, observes] [prediction, learning, knowledge] [graph, directed, undirected, informed, acyclic, size, edge, compute, social] [number, symmetric, analysis, standard, order, random, key, minimum, grant] [observation, independence, time, independent, model, prior, distribution, generated, probability] [set, corollary, loss, lower, case, max, consider, arc, result, problem, cover, subset, linear, note, theorem, general, program, studied, israel, example] [system, simple, corresponding]

Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization

Nataliya Shapovalova, Michalis Raptis, Leonid Sigal, Greg Mori

Nataliya Shapovalova, Michalis Raptis, Leonid Sigal, Greg Mori

[action, algorithm, space, actor, focus] [video, localization, context, bounding, learning, bow, recognition, discriminative, box, training, feature, table, prediction, visual, representation, detection, average, output, multiple, based, score, approach, scoring, truth, object, weak, localize, performance, test, svm, amount, propose, evaluation, incorporating, ability, well, evaluate, excluding, dataset] [search, local, global, allows, person, path, ground, inference] [proposed] [latent, model, data, background, form] [function, structured, density, loss, map, linear, smooth, formulation, set, case] [gaze, saliency, region, human, eye, salient, inferred, temporal, frame, response, capture, interest, spatial, tran, perceptually, motion, potential, overlap]

Efficient Optimization for Sparse Gaussian Process Regression

Yanshuai Cao, Marcus A. Brubaker, David Fleet, Aaron Hertzmann

Yanshuai Cao, Marcus A. Brubaker, David Fleet, Aaron Hertzmann

[algorithm, free, greedy, space, total] [training, input, test, performance, learning, vector, better, good, dataset, hyperparameter, evaluating, negative, large, based, compare, hog, domain, evaluation] [update, candidate, optimizes] [objective, optimization, sparse, factorization, random, matrix, number, covariance, swap, method, variance, small, titsias, rank] [inducing, discrete, continuous, time, gaussian, kernel, variational, process, log, approximate, spgp, cholesky, exact, likelihood, smse, data, full, hyperparameters, ivm, residual, cholqr, figure, csi, predictive, snlp, form, swapping, marginal, element] [set, point, select, approximation, selection, function, regression, cost, energy, lower, machine, complexity, subset] [change, single]

Aggregating Optimistic Planning Trees for Solving Markov Decision Processes

Gunnar Kedenburg, Raphael Fonteneau, Remi Munos

Gunnar Kedenburg, Raphael Fonteneau, Remi Munos

[optimal, algorithm, space, simplex, fact, sum] [metric, well, vector, mnist, large, negative, original, better, propose, image] [scaling, computed, network, computation, perform, compute] [transport, distance, matrix, pij, sinkhorn, qjk, number, divergence, classic, emd, computing, regularization, gpu, earth, euclidean, entropic, iteration, mij, regularized, rct, convergence, random, small, cpu, argmin] [entropy, joint, figure, kernel, probability, computational, log, independence, positive, equation, form, mutual, time, journal, family] [problem, set, point, cost, proof, lemma, theory, consider, linear, theorem, dimension, prove, provide, inequality, subset, extreme] [single, varying, property, speed]

Learning the Local Statistics of Optical Flow

Dan Rosenbaum, Daniel Zoran, Yair Weiss

Dan Rosenbaum, Daniel Zoran, Yair Weiss

[natural, algorithm, availability, black] [computer, learned, image, better, truth, vision, learn, patch, large, compare, training, performance, test, hidden, international, amount, work, outperforms, learning, dataset, vector, second] [local, ground, inference, conditioning, michael, improvement] [matrix, robust, eigenvectors, standard, subspace, covariance, comparing, success, row, small, expect, leading, optimization] [optical, intensity, model, gaussian, prior, likelihood, log, data, figure, estimation, kitti, component, held, mixture, boundary, sintel, generated, allow, multidimensional, transition, modeling, conditioned, conditional, restoration, markov] [gmm, smoothness, set, suggested, linear, function, constant] [motion, horn, term, noise, pattern]

Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising

Min Xu, Tao Qin, Tie-Yan Liu

Min Xu, Tao Qin, Tie-Yan Liu

[revenue, adaptive, mab, algorithm, advertiser, utility, incentive, ucb, expected, ctr, auction, payment, history, best, engine, debiasing, bound, assume, elm, bid, unif, impression, adpt, regret, satisfy, fact, gain, charge, advertising, price, slot, bandit, game, display, setting, maxk, sponsored] [learning, second, quality, vector, negative, work, propose, large] [search, larger, stage, smaller, compatibility, concentration] [number, largest, low, analysis, order, high, random] [log, sample, probability, estimation, figure, estimate, measure] [selection, bias, min, theorem, loss, suppose, estimator, analyze, select, arg, case, guarantee, corollary, lower, condition, example, unbiased, theoretic] [click, uniform, simple, increase, described]

Robust learning of low-dimensional dynamics from large neural ensembles

David Pfau, Eftychios A. Pnevmatikakis, Liam Paninski

David Pfau, Eftychios A. Pnevmatikakis, Liam Paninski

[natural, space, history, state, optimal] [directly, learning, large, top, common, vector, prediction, direct, approach] [real, local, global] [norm, nuclear, matrix, subspace, true, principal, explained, recovered, method, divergence, number, bregman, variance, convex, recover, analysis, rate, dimensionality, spectral, singular, dimensional, rank, spanned, sparse, low, ssid] [data, model, log, latent, likelihood, component, journal, time, held, gaussian, transition, process, poisson, observed, processing, include, figure, parameter] [linear, case, minimization, penalty, statistical, generalized, point, dimension, function, paper] [neural, spike, dynamical, synaptic, system, connectivity, population, term, angle, motor, stable, presented, strong, account]

On model selection consistency of penalized M-estimators: a geometric theory

Jason Lee, Yuekai Sun, Jonathan E. Taylor

Jason Lee, Yuekai Sun, Jonathan E. Taylor

[assumption, sum, state, optimal, assume] [work, learning, large, vector] [group, graphical, neighborhood, size, van, supported, science] [norm, convex, subspace, minimize, unknown, sparsity, covariance, sparse, supplementary, error, dual, analysis, high] [model, exponential, likelihood, estimation, log, sample, parameter, probability, family, inducing, estimate] [consistency, lasso, selection, decomposable, geometrically, generalized, penalty, support, penalized, function, notion, result, maximum, main, framework, irrepresentable, hdt, condition, solution, linear, expressed, negahban, statistical, set, theorem, estimator, general, inf, select, derive, suppose, problem, establishing, consistent, constant, regression, loss, engineering, consider, generalize, corollary, commonly, convexity, establish] [strong, signal, enforce]

New Subsampling Algorithms for Fast Least Squares Regression

Paramveer Dhillon, Yichao Lu, Dean P. Foster, Lyle Ungar

Paramveer Dhillon, Yichao Lu, Dean P. Foster, Lyle Ungar

[algorithm, setting, bound, assume, failure, best, long] [vector, datasets, work, amount, well, second, approach, large, compare, better, performance, accuracy] [randomized, synthetic, real, stage, subsample] [error, random, matrix, subsampling, hadamard, uluru, covariance, nsubs, transform, covs, preconditioning, subsampled, analysis, ols, number, fast, yrem, leverage, high, supplementary, corr, faster, uniformly, small, srht, fraction, remark, fourier, noisy, performs, standard, wcorrect] [data, three, probability, estimate, time, independent, full, estimation, parameter, figure] [design, theoretical, theorem, paper, linear, case, provide, estimator, set, problem, loss, estimating, squared, regression, consider, result] [described, noise, depends, varying, material, term]

Dropout Training as Adaptive Regularization

Stefan Wager, Sida Wang, Percy Liang

Stefan Wager, Sida Wang, Percy Liang

[adaptive, natural, online, conference, apply, linearized] [dropout, training, feature, noising, unlabeled, learning, rare, accuracy, vector, labeled, table, def, test, dataset, fisher, discriminative, level, large, imdb, based, international, noised, better, performance, well, applied, train, sida, generative, text, christopher] [size, applying] [quadratic, regularization, adagrad, matrix, sgd, descent, stochastic, random, small, method, solving, ridge] [data, form, additive, estimate, model, figure, computational, parameter, processing, simulation, gaussian, document, independent, journal] [penalty, logistic, regression, linear, approximation, regularizer, equivalent, loss, machine, design, problem, case, depend, active, empirical, function, consider] [noise, neural, connection]

Using multiple samples to learn mixture models

Jason Lee, Ran Gilad-Bachrach, Rich Caruana

Jason Lee, Ran Gilad-Bachrach, Rich Caruana

[algorithm, space, assume, maximal, return, assumption, goal, maintain, projected] [learning, multiple, work, applied, large, second, appear, experiment, hidden, computer, compare] [msp, dsc, tree, clustering, underlying, disjoint, cluster, symposium, annual, leaf, associated, vempala] [projection, variance, dimensional, low, random, project, spanned, distance, require, method, high, analysis, error, spectral] [mixture, sample, data, gaussians, mixing, figure, model, probability, generated, three, log, assumes, measure, address, usa, topic] [problem, dimension, separation, case, result, set, exists, polynomial, theorem, santosh, complexity, main] [presented, single, blue, noise, ieee]

Annealing between distributions by averaging moments

Roger B. Grosse, Chris J. Maddison, Ruslan Salakhutdinov

Roger B. Grosse, Chris J. Maddison, Ruslan Salakhutdinov

[optimal, initial, linearly, natural] [target, hidden, rbms, learning, deep, visible, based, performance, boltzmann, rbm, mnist, table, training, average] [path, partition] [averaging, analysis, rate, high, order, number, proposed, variance] [log, intermediate, moment, sampling, exponential, perfect, intractable, schedule, family, figure, distribution, probability, model, tractable, sample, base, binned, gibbs, accurate, annealed, variational, annealing, restricted, spaced, alternative, monte, exact, markov, derived, estimate, transition, interpolate, piecewise] [geometric, linear, theorem, cost, function, set, result, estimating, machine, asymptotically, consider, statistical] [uniform, functional, viewed, indicate]

Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition

Tzu-Kuo Huang, Jeff Schneider

Tzu-Kuo Huang, Jeff Schneider

[state, initial, algorithm, formal, setting, appendix, sequence, expected, assume, sequential, easier] [learning, hidden, generative, multiple, based, input, large, consistently, learn] [size, structure, network] [tensor, matrix, decomposition, method, spectral, true, unknown, random, recover, order, column, small, projection, number, array, usual, arxiv] [data, markov, distribution, sample, transition, model, estimation, process, probability, estimate, latent, figure, issue, dirichlet, modeling, independent, draw, chain, topic, three, generated, observation, time, returned, discrete, observed, hmm] [set, empirical, theorem, theoretical, consistent, complexity, note, problem, proof, guarantee, result, general, procedure] [dynamic, biological, situation]

Accelerated Mini-Batch Stochastic Dual Coordinate Ascent

Shai Shalev-Shwartz, Tong Zhang

Shai Shalev-Shwartz, Tong Zhang

[algorithm, bound, deterministic, peter, assume, choose] [learning, better, training, table, vector, opening, nesterov, dataset, compare] [parallel, node, distributed, communication, size, martin, joseph, processed, message, runtime] [sdca, asdca, dual, iteration, gradient, agd, descent, stochastic, coordinate, accelerated, number, arxiv, preprint, computing, zhang, method, interpolates, convex, examplestest, rate, sgd, ascent, regularization, euclidean, analysis, mentioned, convergence, optimization, norm, dividing, solving, alekh, carlos] [time, data, processing] [cost, loss, machine, studied, consider, primal, shai, case, main, function, smooth, problem, version, complexity, paper, set, tong, solution, hold, example, max, subset] [single]

Faster Ridge Regression via the Subsampled Randomized Hadamard Transform

Yichao Lu, Paramveer Dhillon, Dean P. Foster, Lyle Ungar

Yichao Lu, Paramveer Dhillon, Dean P. Foster, Lyle Ungar

[algorithm, space, setting, step] [large, vector, better, compare, well, feature, training, randomly, approach, dataset, setup, weight, top] [randomized, compute, median, computed, synthetic, real, size, parallel, structure, michael] [matrix, pca, psubs, true, ridge, random, dual, error, hadamard, transform, fast, computing, standard, srht, subsampled, rate, number, rank, analysis, high, principal, faster, svd, subsampling, huge, low, solutionpcarandomized, remark, ordinary, multiplication, solving] [computational, data, kernel, generated, figure, probability, power, time, equation, parameter, approximate] [risk, regression, cost, design, solution, pcr, approximation, linear, lemma, case, dimension, problem, provide, paper, statistical] [slow, mark]

Recurrent linear models of simultaneously-recorded neural populations

Marius Pachitariu, Biljana Petreska, Maneesh Sahani

Marius Pachitariu, Biljana Petreska, Maneesh Sahani

[state, best, upper, deterministic] [output, better, performance, large, prediction, approach, well, hidden, directly, generative, common] [structure, factor, link, inference] [matrix, covariance, number, random, subspace, gradient, standard, pairwise, principal] [model, rlm, data, latent, lds, gaussian, distribution, poisson, ising, cglm, time, likelihood, equation, observation, describe, figure, process, replacing, estimate, three, computational, psth, alternative, conditional, instantaneous, cascaded, form, generated, plds, nonlinear] [linear, case, function, provide, note, consider] [neural, spike, dynamical, kalman, population, recurrent, simulated, recorded, temporal, estimated, noise, activity, generalisation, simple, neuronal, glm, motor]

Learning Adaptive Value of Information for Structured Prediction

David J. Weiss, Ben Taskar

David J. Weiss, Ben Taskar

[policy, state, reward, action, optimal, expected, current, space, adaptive, setting, total, reinforcement, choosing, future, add, sequence, goal, ocr] [feature, learning, learn, extraction, approach, prediction, vector, pose, work, training, extracted, accuracy, input, output, large, learned, based, test, level, video, achieve] [inference, compute, computed, computation, structure, runtime, graph] [error, method, additional, standard, rate, proposed, computing, typically] [model, time, accurate, approximate, figure, predictive, computational, markov, component, allow] [budget, structured, set, function, cost, note, simply, example, problem, effective, batch, predictor, consider, linear, selection, indicator] [control, frame, simple, trajectory, human, imitation, increase]

When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity

Anima Anandkumar, Daniel Hsu, Majid Janzamin, Sham M. Kakade

Anima Anandkumar, Daniel Hsu, Majid Janzamin, Sham M. Kakade

[denoted, long, deterministic, bound, space] [hidden, class, award, vector, word, learning, generic, representation] [structure, graph, size, degree, variable, product, node] [overcomplete, random, order, matrix, matching, number, tensor, rank, persistence, sparsity, remark, expansion, uniqueness, tucker, krank, generically, recovery, incorporate, analysis, column, persistent, canonical, discussion, existence, imply, characterize] [topic, model, observed, moment, latent, admixture, perfect, log, full, figure, distribution, referred, probability, form, equation, university, aro, drawn] [condition, bipartite, theorem, establish, set, result, version, structured, general, note, consider, provide, case] [population, higher, single, novel, constraint, presence, pattern]

Estimating LASSO Risk and Noise Level

Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari

Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari

[sequence, state, algorithm, lim] [level, vector, well] [evolution, applying, scaled, versus, represents, message, passing, color] [method, amp, error, standard, variance, matrix, regularization, true, random, order, iteration, compressed, remark, accurately, dimensional, basis, covariance, numerical, analysis] [gaussian, distribution, asymptotic, estimation, model, iid, estimate, inverse, figure, parameter, probability, generated, multivariate, independent, data, normal] [lasso, estimator, design, theorem, risk, general, unbiased, converging, denote, provide, squared, conjecture, corollary, consistent, statistical, problem, function, mse, linear, converges, result, empirical, weakly, estimating, main, note, consistency, annals, case, solution, suitable, formula, support, selection, msetrue, point] [noise, signal, estimated, ieee]

Relevance Topic Model for Unstructured Social Group Activity Recognition

Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan

Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan

[bound, action] [video, rtm, learning, relevance, replicated, training, vector, softmax, supervised, unstructured, dataset, semantic, accuracy, learn, bow, labeled, discriminative, work, better, hidden, boltzmann, wedding, recognition, svm, medlda, learned, jointly, visible, unit, class, automatic, table, gclass, discover, med, word] [social, undirected, multimodal, inference, group, graphical, binary, directed, web] [sparse, number, small, proposed, stochastic] [model, topic, variational, log, data, latent, distribution, bayesian, figure, likelihood, marginal, parameter, restricted, estimation, lda, gaussian, posterior, estimate, equation, three, conditional, wijvmi, contrastive] [function, linear, set, case, lower, maximum] [activity, complex, attribute, human, calculate]

Context-sensitive active sensing in humans

Sheeraz Ahmad, He Huang, Angela J. Yu

Sheeraz Ahmad, He Huang, Angela J. Yu

[belief, optimal, policy, action, switching, state, bound, strategy, decision, making, space, future, expected, assume, choice, choose, current, total, sequential, step] [target, visual, patch, better, task, performance, based, well, unit, compare, accuracy, context, work] [search, optimize] [number, proposed, block] [time, data, prior, model, probability, boundary, figure, bayesian, distribution, likelihood, sampling, processing] [cost, active, min, set, bias, function, case, approximation, theorem] [location, sensing, myopic, infomax, human, stopping, behavioral, control, behavior, dynamic, threshold, observer, presented, eye, brain, sensory, incurred, account, declare, experimental, simple, novel, trial, neural, spatial]

Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models

Adel Javanmard, Andrea Montanari

Adel Javanmard, Andrea Montanari

[optimal, assume, bound, minimax, assumption, notice] [vector, test, approach, level, constructing, work] [size, construct, compatibility, binary, variable, van] [matrix, random, standard, covariance, sparse, regularized, error, order, method, dimensional, sparsity, convex, norm, high, denotes, number, variance] [testing, log, parameter, probability, gaussian, power, sample, model, estimate, asymptotic, distribution, estimation, normal, plot, exact, observed] [statistical, design, linear, hypothesis, estimator, regression, theorem, set, lasso, consider, procedure, condition, support, general, javanmard, selection, logistic, interval, consistent, provide, min, note, asymptotically, diabetes, letting, quantiles, classical, construction] [response, simple, normalized, earlier, ieee, term, corresponding, noise]

Factorized Asymptotic Bayesian Inference for Latent Feature Models

Kohei Hayashi, Ryohei Fujimaki

Kohei Hayashi, Ryohei Fujimaki

[algorithm, bound, satisfy, natural, acceleration, fact, elapsed, setting] [learning, feature, performance, large, achieved, representation, better, hidden, automatic] [inference, update, smaller, irrelevant, variable, real, unique] [method, analysis, matrix, regularization, number, supplementary, hessian, block, gradient, standard, empirically, convex, faster] [fab, log, latent, model, computational, fic, meibp, ibp, respect, bayesian, lfms, asymptotic, data, parameter, marginal, time, figure, znk, variational, factorized, indian, buffet, cccp, observed, form, distribution, sample, nonparametric, ficmm, yaleb, sampling, prior, shrinking, fics] [lower, approximation, shrinkage, selection, condition, set, note, lemma, case, machine, complexity, equivalent, theorem, asymptotically, deviation] [term, neural, increase, noise]

Tracking Time-varying Graphical Structure

Erich Kummerfeld, David Danks

Erich Kummerfeld, David Danks

[algorithm, online, current, assume, sequence, expected, previous] [learning, performance, learn, large, based, tracking, weight, multiple, shift, work, predict] [structure, losst, graphical, graph, relearning, size, datapoint, mahalanobis, datapoints, underlying, edge, weighted, pooled, changed, update, provably, respond, convergent, sem, perform, heuristic, undirected, focused, mellon, occurred, occur, recursive] [number, standard, distance, covariance, convergence, matrix, method] [model, data, sample, generating, bayesian, probability, locally, time, equation, figure, parameter, track, university, detect, stationary, generated, full] [effective, set, cost, provide] [change, stable, estimated, indicate]

Compressive Feature Learning

Hristo S. Paskov, Robert West, John C. Mitchell, Trevor Hastie

Hristo S. Paskov, Robert West, John C. Mitchell, Trevor Hastie

[algorithm, chosen, space, impact, best, sequence] [feature, compression, training, text, pointer, dictionary, learning, class, unsupervised, newsgroups, work, representation, word, task, accuracy, good, performance, based, computer, well, categorization, datasets, large, appear, description, reweighting, extract, approach, imdb, separately, demonstrate] [binary, structure, size, allows, split, stanford] [compressed, method, optimization, order, scheme, error, solve, regularization, minimize, small, solving, require, principal, admm, minimum, matrix, number, principle, dual, analysis] [data, document, testing, full, corpus, time, length, university, figure] [set, cost, problem, selection, solution, linear, machine, minimizing, criterion, reduces] [constraint, department, subject, single, storage]

Moment-based Uniform Deviation Bounds for $k$-means and Friends

Matus Telgarsky, Sanjoy Dasgupta

Matus Telgarsky, Sanjoy Dasgupta

[bound, bounded, appendix, upper] [work, scale, large, technique, class, applied, well] [size, clustering, source, allows, center, pair, cluster] [convex, norm, bregman, convergence, covariance, rate, divergence, standard,