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 = theory, 1 = reinforcement learning, 2 = graphical models, 3 = deep learning/vision, 4 = optimization, 5 = neuroscience, 6 = embeddings etc.)

Toggle LDA topics to sort by:
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Random Utility Theory for Social Choice

Hossein Azari, David Parks, Lirong Xia

Hossein Azari, David Parks, Lirong Xia

[order, ranking, algorithm, set, theorem, bounded, case, probability, partial, true, lemma, consider, path, maximize, theory, sense, provide, chosen, subset, adopt] [approach, utility, choice, function, preference, focus, expectation] [likelihood, normal, model, number, social, distribution, inference, maximum, alternative, monte, compute, election, carlo, parameter, predictive, gibbs, exj, lirong, public, bayesian, exponential, gumbel, rum, full, latent] [global, figure, ground, location, truth, corresponds, evaluate, apply, randomly] [random, condition, rank, problem, suppose, method, correlation, concave, estimated, theoretical, kendall] [mle] [data, performance, better, dataset, variance, synthetic, linear, learning]

Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions

Alexandra Carpentier, Remi Munos

Alexandra Carpentier, Remi Munos

[algorithm, stratum, lemma, bound, oracle, order, asymptotic, measure, consider, uniform, lower, provide, crude, allocates, differentiable, assume, prove, proof, uniformly, write, sequence, quantity, budget, smaller, access, diameter, call, admits, fact, result, asymptotically, theorem, stratify, paper, main, rounding, probability, negligible, aim, carpentier, discrepancy, allocating, allocate] [function, optimal, domain, strategy, intuition, taylor, good, adapt, provided] [sampling, number, sample, partition, monte, carlo, supplementary, expansion, will, integral] [larger, build] [estimate, assumption, random, quasi, constant, rate, low, problem] [adaptive, material, integration] [squared, error, point, variance]

Causal discovery with scale-mixture model for spatiotemporal variance dependencies

Zhitang CHEN, Kun ZHANG, Laiwan CHAN

Zhitang CHEN, Kun ZHANG, Laiwan CHAN

[lemma, algorithm, assume, note, true, series, energy] [assumed, observation, conference, based] [model, sample, observed, log, ordering, structure, discovery, latent, gaussian, factor, variable, component, generated, confounders, place] [temporal, figure, structural, randomly, discovered, level, second] [causal, contemporaneous, independent, lingam, spatiotemporal, stock, matrix, estimate, assumption, estimation, estimated, method, propose, size, causality, investigate, journal, acyclic, autoregressive, dft, problem, zhang, rxy, multivariate, ftse] [time, temporally, mechanism, neural, signal, svar] [variance, linear, data, proposed, selected, real, vector, learning, table, machine, synthetic, large]

A Bayesian Approach for Policy Learning from Trajectory Preference Queries

Aaron Wilson, Alan Fern, Prasad Tadepalli

Aaron Wilson, Alan Fern, Prasad Tadepalli

[query, set, active, measure, algorithm, consider, change, length, learner, energy, disagreement, comparison, example] [policy, expert, state, trajectory, function, agent, tpq, bicycle, initial, tpqs, expected, preference, approach, action, based, evaluation, strategy, acrobot, domain, car, generating, control, goal, cart, mountain, reward, pole, knowledge, start, reinforcement, describe, starting, current, benchmark] [distribution, posterior, model, generated, generate, pair, latent, sampling, prior, bayesian, hmc, inference, sample, number, variational, will] [target, work, simple, produce, learn, feature, map] [random, gradient, problem, estimate, step] [response, desired, selective, velocity] [learning, selection, select, data, space, performance, machine, vector, distance, dissimilarity]

Training sparse natural image models with a fast Gibbs sampler of an extended state space

Lucas Theis, Jascha Sohl-Dickstein, Matthias Bethge

Lucas Theis, Jascha Sohl-Dickstein, Matthias Bethge

[algorithm, statistical, probability, set, best, case, change, variant] [optimal, transition, average, additional, international, based, standard] [overcomplete, model, sampling, gibbs, distribution, posterior, sampler, markov, gaussian, blocked, hmc, will, chain, nullspace, inference, laplace, mala, olshausen, autocorrelation, hidden, likelihood, number, computational, monte, sample, latent, marginals, overcompleteness, chen, carlo, prior, marginal, gaussians, log, pot] [source, image, figure, training, gsm, single, contrast, representation, local] [sparse, convergence, journal, estimate, toy, constrained, dkl] [basis, natural, complete, persistent, neural, study, time, making] [linear, learning, data, advantage, machine, better, performance, point]

Neurally Plausible Reinforcement Learning of Working Memory Tasks

Jaldert Rombouts, Sander Bohte, Pieter Roelfsema

Jaldert Rombouts, Sander Bohte, Pieter Roelfsema

[set, probability, highest] [reward, decision, action, reinforcement, correct, required] [model, probabilistic, assigned] [layer, trained, learn, target, training, learns] [convergence, stochastic] [memory, synaptic, association, working, activity, feedback, sensory, cue, network, unit, augment, regular, signal, cortex, trial, neural, input, neuromodulatory, feedforward, activation, biologically, red, plausible, relevant, mark, evidence, motor, time, represent, green, mechanism, computed, agjk, dopamine, persistent, vlm, winning, agij, responsible, left, integrate, shaping, tuned, plasticity, nature, explains, aglm, attentional, difference, presented] [learning, task, scheme, mapping, error, binary]

Deep Representations and Codes for Image Auto-Annotation

Ryan Kiros, Csaba Szepesvari

Ryan Kiros, Csaba Szepesvari

[set, denote, algorithm, best, follow, introduce, length] [standard, approach, tile, average] [number, model, hierarchical, sample, collection, base] [image, training, module, annotation, feature, second, perform, deep, representation, layer, learned, cross, figure, multiple, tagprop, single, spatial, unsupervised, matching, pooling, top, color, larger, coates, pooled, apply, performed, retrieval, pixel, extract, stride] [dictionary, size, extraction, optimization, sparse, successful] [natural, coding, input, receptive, tag] [learning, distance, performance, dataset, test, existing, large, small, linear, selection, metric, binary, table, hamming, code, vector, nearest, construct]

Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling

Antonino Freno, Mikaela Keller, Marc Tommasi

Antonino Freno, Mikaela Keller, Marc Tommasi

[set, statistical, order, probability, respect, suitable, result, paper, denote, prove, divergence] [approach, parametric, function, neighboring] [fiedler, xuv, model, guv, frfs, structure, frf, distribution, concerning, delta, modeling, number, degree, pair, observed, node, conditional, form, vuv, mlp, link, involved, sample, sampling, variable, markov, allows, euv, subgraphs, xwz, undirected, prior, aimed, unwarranted, nonparametric, hepth] [accuracy, training, contrastive, target, work, second] [graph, random, dependence, size, edge, eigenvalue, subgraph, spectral, estimate, assumption, arxiv, estimation, proposition, estimating, objective] [network, prediction, potential, basic, connected] [learning, laplacian, statistic, data, smallest]

A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes

Thomas Furmston, David Barber

Thomas Furmston, David Barber

[considered, term, algorithm, notation, consider, note, property, denote, example] [approximate, policy, ascent, expectation, state, reward, maximisation, function, search, parametric, decision, expected, total, mdp, standard, reinforcement, planning, trajectory, current, action, control, transition, wmean, provided, choice, agent] [parameter, form, will, markov, log, update, supplementary, full, distribution, inference] [experiment, training, performed, second, local] [newton, gradient, method, steepest, objective, matrix, diagonal, analysis, quadratic, optimisation, desirable, plot, hessian, application, optimum, convergence, derivative] [natural, system, direction, fisher, dynamic, plotted, negative, difference] [space, linear, learning, machine, performance, error, large]

Tight Bounds on Profile Redundancy and Distinguishability

Jayadev Acharya, Hirakendu Das, Alon Orlitsky

Jayadev Acharya, Hirakendu Das, Alon Orlitsky

[redundancy, probability, lemma, def, bound, sequence, length, universal, upper, multiset, alphabet, minimax, distinguishable, consider, induced, class, set, testing, lower, uniform, minimum, element, result, easy, theorem, multiplicity, denote, regret, proof, closeness, divergence, assign, diminishing, hypothesis, online, uniformly, consists] [expected, unknown, describe, choice] [distribution, log, number, collection, generated, poisson, partition, discrete, sampling, will] [ieee, pattern, sum, learned] [entropy, random, size, compression, rate, needed, essentially, estimation, compressed] [encode, determined, increase, coding, symbol, power] [large, learning, code, largest, binary, machine, improving, data, well]

Active Learning of Model Evidence Using Bayesian Quadrature

Michael Osborne, David Duvenaud, Roman Garnett, Carl Rasmussen, Stephen Roberts, Zoubin Ghahramani

Michael Osborne, David Duvenaud, Roman Garnett, Carl Rasmussen, Stephen Roberts, Zoubin Ghahramani

[active, assume, true, note, statistical, choose, term, set, algorithm] [function, expected, approach, uncertainty, approximate, standard, decision] [log, bayesian, posterior, likelihood, hyperparameters, model, prior, quadrature, gaussian, sampling, monte, bbq, sample, integral, carlo, number, will, clog, marginal, smc, inference, university, mlog, chain, exp, distribution, marginalisation, marginalising, integrand, evaluating, linearisation, compute, computing, permitted, mlii, bmc, modelling, hyperparameter, ale] [figure, evaluate, scale, second, previous, work, location, truth, single] [method, estimate, numerical, convergence, estimated, high, covariance, novel, independent] [evidence, integration, input, tested, computed, negative] [variance, small, learning, real, synthetic, select, data, better, table]

Relax and Randomize : From Value to Algorithms

Sasha Rakhlin, Ohad Shamir, Karthik Sridharan

Sasha Rakhlin, Ohad Shamir, Karthik Sridharan

[relt, online, rademacher, inf, algorithm, regret, complexity, minimax, bound, loss, lemma, consider, follow, upper, learner, transductive, leader, perturbed, version, set, supremum, classical, bounded, case, class, sequence, provide, example, respect, uniform, simultaneously, proof, regt, recipe, playout] [admissible, sequential, round, strategy, optimal, idea, game, based, expected, function, expectation] [distribution, conditional, draw, exp, sampling, exponential, log, will, develop, development] [view] [relaxation, random, convex, matrix, assumption, problem, norm, method, proposition, argmin, optimization, involves, completion, constant, suppose, descent, entry] [unit, prediction, study, static, nature, equation, potential] [learning, randomized, trace, ball, space, linear, admissibility, binary]

Bayesian nonparametric models for ranked data

Francois Caron, Yee Whye Teh

Francois Caron, Yee Whye Teh

[probability, partial, list, measure, note, ranking, consider, derived, set, extension, statistical, theorem, case, write, paper, derive, easily, branching, series, algorithm] [choice, approach, continuous, simply, total, desirability, atomic] [model, gamma, nonparametric, posterior, bayesian, gibbs, process, law, will, update, parameter, conditional, atom, distribution, prior, observed, sampler, mass, inference, exp, wtk, number, joint, described, latent, ctk, arrive, york, modeling, sampling, mutually, sample, completely, discrete, develop, form, associated] [figure, simple, appear, previous] [random, journal, dependence, normalized, positive, independent, distributed, corresponding, suppose, stochastic] [time, auxiliary, ith, dynamic, limit] [item, rating]

Privacy Aware Learning

John Duchi, Michael Jordan, Martin Wainwright

John Duchi, Michael Jordan, Martin Wainwright

[loss, statistical, theorem, lower, assume, upper, set, risk, minimax, theory, case, guarantee, measure, inf, version, denote, datum, access, extreme, sharp, main, bound, corollary, symposium, probability, class, radius, perturbed, bounded, consider, supported, survey] [optimal, function, saddle, approach] [distribution, conditional, log, sample, collection, parameter, allows] [local, second, view, level, characterize, apply] [stochastic, mutual, convergence, random, estimation, convex, method, gradient, proposition, subgradient, procedure, descent, journal, supp, rate, entropy, norm] [natural, study, amount, channel, regular] [privacy, data, learning, private, point, compact, differential, error, differentially, approximation]

Feature-aware Label Space Dimension Reduction for Multi-label Classification

Yao-Nan Chen, Hsuan-Tien Lin

Yao-Nan Chen, Hsuan-Tien Lin

[label, loss, algorithm, bound, minimizes, set, called, minimizing, equivalent, consider, design] [approach, optimal, conference] [number, conditional, parameter, component, enron] [feature, figure, transformation, canonical, training, scene, medical, unsupervised, three] [matrix, problem, correlation, min, analysis, singular, optimization] [prediction, encoding, principal, effective, experimental, coupled, decoding] [cplst, plst, error, regression, lsdr, space, linear, kernel, zvt, dimension, hamming, learning, occa, cca, reduction, better, ridge, vector, table, test, supervised, fsdr, machine, performance, dataset, regularization, zwz, vvt, pbr, considers, binary, xwx, code, orthogonal, national, taiwan, original, row, worse, small, yeast, data]

Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging

Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling Johnson

Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling Johnson

[rademacher, complexity, set, note, margin, bound, result, derived, theorem, arbitrary, comparison, mixing, order, setting, algorithm] [standard, domain, state, function, knowledge] [base, model, will, disease, structure, cluster, form] [feature, multiple, performed, imaging, image, directly, combined, sum, trained, accuracy, spatial, module, exploit] [problem, entropy, norm, optimization, quadratic, penalty, convex, method, min, dual, solve, program, density, objective, solution, support] [prediction, effectively, brain, optimized] [kernel, mkl, learning, virtual, renyi, svm, combination, vector, relative, generalizes, space, neuroimaging, error, large, linear, data, proposed, regularizer, constraint, regularization, relates, tbm, art, laplacian]

Multiresolution Gaussian Processes

Emily Fox, David Dunson

Emily Fox, David Dunson

[cut, set, assume, consider, statistical, smoothness, series, empirical] [function, based, key, standard, approach, cost] [partition, mgp, tree, hierarchical, likelihood, gps, process, parent, gaussian, predictive, heldout, abrupt, marginal, meg, proposal, posterior, distribution, generated, structure, model, log, sharing, prior, allows, inference, conditioned, word, collection, changepoints, bayesian, hgp, sample, conjugacy, modeling, mcmc] [global, level, figure, local, capture, compare, temporal, single] [covariance, normalized, correlation, analysis, smooth, matrix, formulation] [time, visual, input, trial, additive, neural] [data, shared, multiresolution, functional, point, binary, common, proposed]

A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling

Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen

Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen

[online, set, probability, algorithm, best, consider] [approach, correct, knowledge, based, start, average] [language, model, will, prior, number, forward, bayesian, full, update, backward, initialization, distribution] [character, spelling, unsupervised, subject, eeg, tri, training, speller, uni, trigram, trained, figure, train, work, single, spell, wold, second, supervisedly, ieee, spelled, accuracy, computer, incorporating, period, tatri, previous, akimpech, randomly, compared, incorporation] [method, application, graphical, pass] [transfer, time, desired, weight, bci, brain, adaptive, neural, interface, adaptation, limited, computed, basic, processing] [learning, dataset, test, proposed, supervised, performance, text, data, table, vector, linear, letter]

Learning about Canonical Views from Internet Image Collections

Elad Mezuman, Yair Weiss

Elad Mezuman, Yair Weiss

[hypothesis, called, algorithm, provide, set, true, returned, decide, change, example] [search, conference, international, simply, preference] [number, will, distribution] [view, canonical, image, frequent, object, gist, human, internet, computer, mode, palmer, category, psychophysical, figure, automatic, vision, parzen, second, recognition, descriptor, imagenet, ieee, viewpoint, corresponds, manually, formal, google, bounding, work, cognitive, experiment, retrieved, maximal, horse, center, cropped, reveal, shape, downloaded, pattern, iconic, proxy, learn, notre] [method, density, strong, estimation] [preferred, phase, presented, visual, frequency, basic, output, perception] [similarity, small, clustering, large, verify, space, manual, dataset, data]

MCMC for continuous-time discrete-state systems

Vinayak Rao, Yee Whye Teh

Vinayak Rao, Yee Whye Teh

[interval, set, algorithm, probability, length, sequence, smaller, note, observe] [state, trajectory, function, observation, approach, cost, continuous, conference, temperature] [sampler, smjp, mcmc, particle, hazard, markov, poisson, process, thinning, thinned, sampling, event, jump, ass, tend, discretization, sample, inference, number, distribution, uniformization, parameter, dominating, posterior, chain, leaving, pmcmc, model, monte, bvi, likelihood, will, computational, weibull, resample] [second, figure, simple, three, scale, applied] [rate, random, distributed, constant, independent, step, general, truncated, proposition, stochastic] [time, system, effective, unit, waiting, represent, population, long] [candidate, large, equal]

Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data

Assaf Glazer, Michael Lindenbaoum, Shaul Markovitch

Assaf Glazer, Michael Lindenbaoum, Shaul Markovitch

[set, ocsvm, ocnm, theorem, change, respect, statistical, bep, note, polonik, version, israel, introduce, annals, measure, reference, distributional, fraction, algorithm, hold, minimum, probability, best, asymptotically, quantile, assume] [approach, decision, based, function, expected, evaluated, average] [hierarchical, distribution, nonparametric, number, associated, sample] [training, detection, figure, precision, level, region, previous, recall, second] [density, method, estimation, estimator, estimated, estimate, generalized, practical, solution, multivariate, estimating, symmetric, sparsity] [input, difference, time, represent] [test, data, learning, kernel, space, distance, averaged, equal, neighbor]

Affine Independent Variational Inference

Edward Challis, David Barber

Edward Challis, David Barber

[bound, class, logistic, set, respect, lower, consider, example, true, partial, complexity, term, divergence, probability] [approximate, standard, optimal, expectation, sampled, provided, function] [gaussian, base, log, inference, variational, bayesian, distribution, likelihood, number, site, prior, whilst, ntrn, qud, model, laplace, bai, marginal, posterior, supplementary, computational, integral, form, latent, skewness] [bounding, training, figure, transform, target, local, evaluate] [density, multivariate, method, dimensional, sparse, robust, entropy, stable, independent, jointly, procedure] [lattice, neural, processing, presented, computation, equation, difference, accurately] [regression, approximation, fourier, linear, approximating, data, test, machine, special, learning, kernel]

Algorithms for Learning Markov Field Policies

Abdeslam Boularias, Oliver Kroemer, Jan Peters

Abdeslam Boularias, Oliver Kroemer, Jan Peters

[set, algorithm, approximated, empirical, setting, probability] [policy, function, reward, optimal, bellman, state, approach, expected, reinforcement, apprenticeship, conference, search, action, friction, amn, deterministic, domain, knowledge, maxent, pendulum, provided, grasp, based, decision, international, cart, temperature] [distribution, markov, will, structure, indicates, sampling, inference, process, likelihood, exp] [feature, learned, object, track, handle, figure, structured] [matrix, random, problem, graph, high, entropy, inverse, corresponding, low, proposition, estimated, solution, successful, adjacency, solving, gradient, lagrangian] [equation, hand, surface, robot, basis, grasping, framework] [learning, error, kernel, point, machine, similarity, linear, proposed, space]

The representer theorem for Hilbert spaces: a necessary and sufficient condition

Francesco Dinuzzo, Bernhard Schölkopf

Francesco Dinuzzo, Bernhard Schölkopf

[theorem, lower, term, admits, set, denote, bounded, example, class, sequence, consider, minimized, characterization, proof, result, respect, observe, property, easy, mathematical, differentiable, assume, subset, probability, exists, loss, setting, prove] [choice, function, evaluation, focus] [form, component, number, allowing] [angle, second, aligned, convolution] [family, condition, type, minimizer, norm, problem, general, support, min, closed, subspace, analysis] [broad, study] [regularization, representer, functionals, linear, space, functional, hilbert, kernel, vector, nondecreasing, admit, semicontinuous, data, reproducing, radial, learning, existence, uniquely, ball, machine, point, orthogonal, large, rkhs]

Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing

Shinsuke Koyama

Shinsuke Koyama

[divergence, empirical, lower, bayes, bound, lim, probability, result, derived, assume, statistical, introduce, approximated, note, order, depends, algorithm, interval, applicable, share] [function, good] [log, process, gamma, distribution, latent, degree, gaussian, posterior, parameter, formula, prior, model, generated, exp, examine, poisson] [three, figure, shape, temporal, scale, variation, larger, train, map, feature] [rate, constant, estimation, method, density, journal, numerical, family, theoretical, analysis, inverse, sin, estimate, achieves, stochastic] [spike, isi, lognormal, renewal, neural, time, encoding, cortical, represent, represents, spiking, phase, solid, decoding, determined, neuronal, decoder, ith, coding] [large, space, small]

Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding

Jacquelyn Shelton, Philip Sterne, Joerg Bornschein, Abdul-Saboor Sheikh, Joerg Luecke

Jacquelyn Shelton, Philip Sterne, Joerg Bornschein, Abdul-Saboor Sheikh, Joerg Luecke

[algorithm, set, active, main] [standard, optimal, average, function, observation, approach, max, transition] [model, prior, posterior, latent, distribution, generative, gibbs, inference, observed, sampling, gaussian, variational, inferred, computational, log, vivo, generated, component, bayesian, form, laplace, hidden, infer, likelihood, number] [image, simple, multimodal, single, combined, figure, sum, learned, work, maximal, training] [sparse, high, sparsity, exact, journal, dictionary, method, optimization] [coding, nonlinear, neural, visual, globular, receptive, natural, bimodal, latents, preselection, wdh, encoding, basis, superposition, study, gabor, noise, processing, left, emsteps] [data, learning, linear, combination, point, machine]

Learning optimal spike-based representations

ralph Bourdoukan, David Barrett, Christian Machens, Sophie Deneve

ralph Bourdoukan, David Barrett, Christian Machens, Sophie Deneve

[loss, derive, assume, case, term, set] [optimal, function, start, converges] [will, identical, variable] [single, representation, train, learn, simple, produce, target, bottom, work, previous] [rate, balance] [neuron, spike, network, rule, spiking, membrane, input, potential, synaptic, neural, equation, connectivity, balanced, plasticity, hebbian, represent, inhibitory, population, signal, time, excitatory, homogeneous, voltage, output, cortical, reset, neurosci, difference, connected, connection, presynaptic, dynamical, interpreted, weakly, strength, autapse, regime, excitation, stdp, interpret, producing, ith, weight, threshold, optimally, middle, recurrent, inhibition, asynchronous, deriving, correlated, postsynaptic] [learning, error, linear, large, small, point]

"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking"

Clément Calauzènes, Nicolas Usunier, Patrick Gallinari

Clément Calauzènes, Nicolas Usunier, Patrick Gallinari

[surrogate, ranking, loss, calibrated, risk, set, theorem, calibration, respect, err, prove, lemma, pairwise, consider, result, proof, characterization, implies, assume, sort, induced, exists, algorithm, order, main, subset, implication, empirical, dag, studied, measure, induces, consequence, sigir, instance, proved, relevance] [evaluation, optimal, function, search, based, optimizing, average, approach, expected] [distribution] [scoring, three, directly, score] [convex, arg, rank, assumption, satisfy, denoted, general, analysis, minimization, low, min, optimization, technical] [feedback, framework, study, preferred, predicted, lead] [learning, metric, item, vector, inner, quality, better, point, table, sorting, permutation]

Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction

Christoph Lampert

Christoph Lampert

[probability, set, case, example, main, note, runtime, statistical, pairwise, label, stopping, situation, ordinary, introduce, energy] [decision, function, pruning, approximate, correct, incomplete, based, uncertain] [sampling, marginal, sample, factor, number, gibbs, inference, variable, mmp, model, distribution, will, parameter, maximum, bayesian, joint, marginals, sampler, beta, conditional, computational, form, monte, chain, markov] [image, figure, training, accuracy, inpainting, learned, trained, pixel] [graphical, estimate, size, method, close, random, independent, estimated, graph, exact, propose] [adaptive, prediction, effective, early, time, difference, making] [binary, large, dataset, individual, learning, proposed, regularization, small]

A Generative Model for Parts-based Object Segmentation

S. M. Ali Eslami, Chris Williams

S. M. Ali Eslami, Chris Williams

[john, algorithm, chosen, probability, report, set, upper, lower] [average, simply] [model, inference, generative, probabilistic, hidden, joint, number, likelihood, chain, multinomial, fully, mixture, distribution, highly, generate, latent, comparable, split, performing, conditional] [shape, appearance, object, msbm, training, segmentation, boltzmann, image, ieee, pixel, sli, figure, sbm, fowlkes, nicolas, foreground, second, local, computer, body, trained, train, scoring, accuracy, thomas, layer, background, belonging, learned, work, learn, ism, vittorio, top, ethz] [random, strong] [account, variability, differ] [dataset, learning, test, data, machine, performance, datasets, labeled, quality, seed, table]

Local Supervised Learning through Space Partitioning

Joseph Wang, Venkatesh Saligrama

Joseph Wang, Venkatesh Saligrama

[empirical, reject, loss, multiclass, perceptron, logistic, surrogate, example, label, piecewise, consider, complexity, class, lemma, upper, minimize, comparison, algorithm, minimizing, approximated] [decision, approach, based, function, conference, optimizing, observation, cost, international] [number, lda, computational, associated, attempt] [local, training, region, global, trained, complex, feature, simple, discriminant, single, train, indicator, learn, randomly, figure, contrast] [problem, method, analysis, coordinate, family, descent, step, composite] [voted, linearly, stage, output] [linear, learning, partitioning, space, error, data, binary, test, supervised, locally, machine, scheme, proposed, boosting, regression, large, well, datasets, small, performance, optimize, adaboost, choosing, robert]

Learning with Target Prior

Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji

Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji

[sequence, set, algorithm, length, regressor, online, loss] [parametric, function, based, knowledge, expectation, approach] [prior, model, parameter, joint, latent, bayesian, form, variable, probabilistic, log, distribution] [target, ltp, subject, training, unsupervised, pose, learned, ecog, learn, sgplvm, corresponded, image, train, temporal, directly, trained, uncorresponded, work, figure, structured, paired, second, body, electrocorticographic] [corresponding, estimation, batch, random, general, conventional, estimate] [decoding, bci, input, brain, signal, movement, time, output, tested, collected, prediction, predict, framework] [learning, data, linear, regression, well, task, proposed, supervised, ridge, generalize, space, table, demonstrate, mapping]

The variational hierarchical EM algorithm for clustering hidden Markov models.

Emanuele Coviello, Antoni Chan, Gert Lanckriet

Emanuele Coviello, Antoni Chan, Gert Lanckriet

[algorithm, lower, bound, sequence, probability, derive, set, respect, smaller, paper, series, divergence] [state, observation, expected, max, expectation, based] [hmm, variational, hmms, hidden, model, markov, mixture, log, cluster, hierarchical, vhem, music, hem, distribution, likelihood, base, component, gaussian, will, generated, emission, number, variable, collection, derivation, generative] [level, gmm, annotation, learned, learn, semantic, second, ieee, directly, automatic, capture, speech, entire] [novel, estimation, spectral, reduced, matrix, estimated, support, intermediate] [motion, time, input, group, represents] [clustering, learning, data, virtual, table, machine, large, better, zij, original]

Optimal Regularized Dual Averaging Methods for Stochastic Optimization

Xi Chen, Qihang Lin, Javier Pena

Xi Chen, Qihang Lin, Javier Pena

[algorithm, set, online, empirical, loss, assume, extension, corollary, proof, term, probability, note, theorem, convexity, bregman] [optimal, deterministic, average, based, function, conference, expected, current] [parameter, log, number, allows, university] [figure, directly, previous, achieved, improves] [convex, stochastic, rate, orda, convergence, averaging, dual, objective, assumption, gradient, subgradient, optimization, proximal, achieves, regularized, solution, rda, method, achieve, sage, sparsity, strong, solving, smooth, problem, technical, recovery, propose, iteration, avg, fobos, prox, journal, step, high, sparser, accelerated, subgradients, constant, arg] [presented, basic] [learning, table, mapping, machine, approximation, better, proposed, vector, combination]

Parametric Local Metric Learning for Nearest Neighbor Classification

Jun Wang, Alexandros Kalousis, Adam Woznica

Jun Wang, Alexandros Kalousis, Adam Woznica

[instance, set, algorithm, complexity, term, margin, class, pairwise, lemma, main, bound] [function, cost, optimal] [number, will, model, vary, parameter, predictive] [local, learn, global, learned, learns, single, compare, accuracy, automatic, improves, figure, weighting] [matrix, problem, optimization, method, smooth, dual, objective, norm, gradient, lipschitz] [basis, weight] [metric, learning, plml, distance, linear, performance, anchor, nearest, large, ijk, datasets, kernel, cblml, data, squared, triplet, error, svm, better, wibk, neighbor, glml, wibl, manifold, psd, constructed, lmnn, regularization, mahalanobis, space, isolet, zbl, constraint, kbl, boostmetric, cijk, well, appropriate, row, sml, select, worse, respective, dataset]

Pointwise Tracking the Optimal Regression Function

Yair Wiener, Ran El Yaniv

Yair Wiener, Ran El Yaniv

[lemma, regressor, hypothesis, probability, loss, bound, risk, erm, set, theorem, pointwise, active, coverage, case, reject, regressors, assume, proof, paper, class, result, empirical, including, statistical, substantial, true, algorithm, version, increasing, hindsight, agnostic, rejection, supremum, disagreement] [strategy, optimal, function, standard, optimality, average, unknown, required, based] [sample, will, full] [training, applying, entire, learn, tracking, ieee, feature, region, baseline] [convex, method, constrained, general, monotonically, size, numerical, discussed, matrix, application] [selective, prediction, implementation, neural, input, multiplicative, difference, presented] [learning, regression, linear, test, error, squared, point, proposed, datasets, technique, vector, machine, space, distance, performance, common, row]

Monte Carlo Methods for Maximum Margin Supervised Topic Models

Qixia Jiang, Jun Zhu, Maosong Sun, Eric Xing

Qixia Jiang, Jun Zhu, Maosong Sun, Eric Xing

[set, term, equivalent, denote, probability, margin, derive] [average, good, function, based, expectation, strategy, goal] [topic, posterior, medlda, distribution, gmedlda, imedlda, model, lda, sample, latent, variational, gibbs, inference, sampling, sampler, monte, carlo, number, bayesian, fmedlda, collapsed, draw, dirichlet, document, markov, likelihood, prior, zdn, glda, will, chain, discovering, wdn, maximum, flda] [training, accuracy, directly, discriminative, larger, map] [estimate, problem, entropy, solve, size, solution, optimum, dual, sparsity, regularized, stable, method, iteration, min] [prediction, interpretation, natural, rule, desired] [data, supervised, performance, learning, large, space, sensitivity, svm, vector, small, test, weaker, criterion]

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation

Aaron Defazio, Tiberio Caetano

Aaron Defazio, Tiberio Caetano

[submodular, set, algorithm, consider, case, comparison, sort, order, denote, class] [function, approach, optimizing, standard, good, evaluated] [degree, prior, model, structure, node, log, will, distribution, exponential, number, gaussian, form, tractable, parameter] [scale, applied, figure, accuracy, structured, performed] [proximal, method, dual, convex, problem, decomposition, graph, covariance, sparse, subgradient, relaxation, optimization, reweighted, reconstruction, random, graphical, edge, sparsity, matrix, admm, gene, iteration, erg, diagonal, liu, estimation, convergence, mnp, proposition, alternating, ihler, francis, free, solving, objective, subproblem, envelope, eigenvalue, min, arg, regularized, minimization] [network, natural, weight, absolute, practice, connected] [operator, selection, learning, small, machine]

Probabilistic n-Choose-k Models for Classification and Ranking

Kevin Swersky, Danny Tarlow, Ryan Adams, Rich Zemel, Brendan Frey

Kevin Swersky, Danny Tarlow, Ryan Adams, Rich Zemel, Brendan Frey

[ranking, label, logistic, case, set, maximize, algorithm, probability, note, class, main, relevance, consider, inductive, example, chosen] [expected, function, optimal, approach, evaluation, standard, programming, international] [model, prior, number, distribution, inference, log, count, sample, likelihood, will, structure, probabilistic, draw, modeling, assigned, joint, alternative, conditional, compute, ordering, monotonic, maximum, university, softmax] [top, training, work, multiple, train, single, learned, trained, figure, simple, image, clear, include, sum, restricted] [objective, proposition, exact] [gain, dynamic, output, issue] [learning, binary, ordinal, test, regression, machine, data, vector, dataset, regularization, performance]

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model

Yanping Huang, Abram Friesen, Timothy Hanks, Mike Shadlen, Rajesh Rao

Yanping Huang, Abram Friesen, Timothy Hanks, Mike Shadlen, Rajesh Rao

[probability, piecewise, order, case] [decision, belief, optimal, reward, function, state, policy, action, pomdp, eye, knowledge, expected, choice, correct, observation, receives, reinforcement, chooses, based, future, observable] [model, prior, distribution, hidden, normal, sampling, bayesian, university, compute, variable, posterior, markov, inference, emission, diffusion, joint] [human, figure, accuracy, target] [random, coherence] [time, animal, making, reaction, experimental, direction, discrimination, neural, motion, carpenter, psychometric, framework, explain, perceptual, movement, rnrs, saccadic, offset, boundary, dynamic, tnd, represents, determined, reciprocal, additive, neutral, maximization, intercept, trial, brain, sensory, latency, rightward, solid, predicts] [data, task, learning, linear, well, biased]

Fused sparsity and robust estimation for linear models with unknown variance

Arnak Dalalyan, Yin Chen

Arnak Dalalyan, Yin Chen

[case, risk, theorem, setting, probability, respect, provide, fundamental, order, chosen, change, remark, proof, inequality, note, property] [standard, unknown, cone, context, evaluation, interested, choice] [maximum, likelihood, number, will, sample, pair, gaussian] [scale, level, subject, computer, restricted, accuracy] [problem, matrix, estimation, robust, fused, lasso, sparsity, estimator, theoretical, condition, dantzig, convex, solution, penalized, selector, sfds, scaled, min, optimization, procedure, estimating, corresponding, diagonal, ave, sparse, minimization, satisfy, xmj, emmanuel, eigenvalue, solved, penalty] [noise, tuning, std, computed] [vector, linear, large, regression, small, table, synthetic, special, quality, learning]

A Linear Time Active Learning Algorithm for Link Classification

Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella

Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella

[set, asymexp, query, spanning, signed, treecutter, active, algorithm, label, theorem, order, path, patht, querying, fraction, queried, learner, arbitrary, smaller, consistent, visit, labeling, fact, slashdot, bound, starmaker, epinions, length, ytrain, integer, setting, bounded, case, subtrees] [optimality, based, conference, average] [tree, number, factor, social, link, log, node, model, undirected, assignment] [training, figure, remaining, larger, randomly, simple, work, created] [graph, edge, size, constant, analysis, spectral, positive, theoretical, achieves, running, stochastic] [time, prediction, sign, connected, predicted, bias, input, negative, network] [learning, test, labeled, predicting, linear]

Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models

Jeff Beck, Katherine Heller, Alexandre Pouget

Jeff Beck, Katherine Heller, Alexandre Pouget

[algorithm, probability, note, online, fact, equivalent] [function, approximate, optimal, simply, standard, approach] [probabilistic, distribution, latent, inference, posterior, model, topic, exp, vbem, log, lda, bayesian, variational, generative, document, form, word, intensity, normalization, number, likelihood, will, dirichlet, targeted, infer, assignment, update, njk] [pattern, complex, build, layer, figure, simple, scene] [problem, general, estimate, matrix] [neural, network, spike, activity, population, implementation, input, divisive, ppc, natural, represents, olfactory, neuron, dynamic, demixing, output, odor, visual, framework, nature, biologically, capable, rule, time, system, implementing, faced, relevant, plausible, ddm] [linear, learning, task, approximation, code]

Truncation-free Online Variational Inference for Bayesian Nonparametric Models

Chong Wang, David Blei

Chong Wang, David Blei

[algorithm, set, complexity, lower, bound, empirical, comparison, consider, case] [approach, international, conference, approximate, intelligence, grows] [variational, inference, mixture, distribution, topic, number, dirichlet, collapsed, likelihood, model, bnp, york, batchsize, bayesian, process, hidden, latent, gibbs, document, component, hdp, posterior, update, sampling, log, hierarchical, truncation, word, parameter, nonparametric, exp, prior, sample, inferred, predictive, massive, vocabulary] [local, global, figure, work] [stochastic, method, batch, journal, size, suppose, unbounded, rate, family, random] [nature, time, neural, processing, natural, difference] [data, learning, machine, locally, large, better, small]

Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization

Demba Ba, Behtash Babadi, Patrick Purdon, Emery Brown

Demba Ba, Behtash Babadi, Patrick Purdon, Emery Brown

[sequence, theorem, proof, fact, consider, case, set, bound, denote, smaller, derive, lemma, property, lower, bounded, assume, prove, element, order, introduce] [average, function, based, cone, standard] [number] [video, frame, figure, ieee, outperforms, applied, compare, larger, snr, restricted] [recovery, conventional, sparse, program, convex, problem, presence, measurement, rip, mse, theoretical, recover, exact, reconstruction, reconstructed, csk, recovering, min, rnk, application, stable, random, solving, matrix, generalized, suppose, sensing, support, compressive, noiseless, satisfy, compressed, propose] [dynamic, absence, signal] [linear, error, real, vector, table, data, select, generalize, row]

Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems

Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy

Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy

[algorithm, regret, set, theorem, bound, probability, lemma, proof, result, assume, order, denote, consider, prove, hold, corollary, asymptotic, extended, theory, exists, case, marketing, bounded, suitable, introducing] [control, cost, optimal, cmin, state, episode, controller, cumulative, advertising, average, hjs, unknown, regulator, initial, expected, max] [parameter, number, model, event, log] [work, ieee, spatial, second] [high, dimensional, estimated, matrix, sparse, problem, stochastic, solution, quadratic, optimization, proposition, condition, recovery, estimate, decomposition, stanford, corresponding] [system, time, adaptive, controlled, dynamic, principle, equation] [linear, learning, row, logarithmic, constraint]

Ancestor Sampling for Particle Gibbs

Fredrik Lindsten, Michael Jordan, Thomas Schön

Fredrik Lindsten, Michael Jordan, Thomas Schön

[set, probability, path, consider, mixing, assume, statistical, note, sequence, explicit, complexity, order, series] [simulation, state, sequential, idea, trajectory, based, approach] [backward, sampling, particle, truncation, ancestor, smc, sampler, gibbs, inference, gaussian, carlo, monte, model, draw, process, sample, will, mcmc, pmcmc, conditional, computational, forward, ssms, bayesian, compute, markov, degenerate, university, number, ancestral, proposal, csmc, chain, adaption, tree] [level, figure, apply, reason, target, accuracy] [density, method, step, problem, journal, procedure, running, application, random, strong] [smoothing, time, increase, system, noise, nonlinear] [approximation, linear, proposed, address, error, construct, kernel]

Modelling Reciprocating Relationships with Hawkes Processes

Charles Blundell, Katherine Heller, Jeff Beck

Charles Blundell, Katherine Heller, Jeff Beck

[probability, measure, set, consider, interesting, statistical] [people, based, total, intelligence, behaviour, future, approach, uncertainty] [model, hawkes, process, poisson, social, cluster, gpq, npq, irm, number, enron, bob, nuv, structure, conv, event, interaction, nqp, mallory, will, inference, relational, email, log, university, pair, david, markov, military, reciprocity, whilst, reciprocating, infer, conversation, predictive, bayesian, thinning, alice, full, latent, parameter, inferred, modelled, involving, partition, declared, modelling] [figure, work, learn, structured] [rate, mid, edge, graph, random, journal, denotes, stochastic, relationship] [time, group] [data, point, table, learning, counting, synthetic]

Expectation Propagation in Gaussian Process Dynamical Systems

Marc Deisenroth, Shakir Mohamed

Marc Deisenroth, Shakir Mohamed

[true, algorithm, set] [state, approximate, function, expectation, based, standard, transition, average, uncertainty, international, conference, required, updated] [gaussian, inference, posterior, distribution, latent, message, process, log, bayesian, gpdss, gpads, propagation, factor, model, update, linearization, marginal, moment, cavity, predictive, computing, implicit, gpds, partition, inferred, compute, kalman, nllx, backward, forward, form] [capture, matching, directly, compared] [measurement, covariance, general, passing, corresponding, iterative] [dynamical, smoothing, time, nonlinear, motion, account, system, computed, prediction, noise] [data, approximation, test, learning, existing, improved, performance, projection, machine, accurate, synthetic]

A quasi-Newton proximal splitting method

Stephen Becker, Jalal Fadili

Stephen Becker, Jalal Fadili

[algorithm, active, set, case, theorem, example, class, corollary, denote, assume, consider, version, term, result, piecewise, remark, extended, loss, strictly] [function, standard, approach, cost, continuous] [log, compute, update] [simple, root, second, previous] [method, convex, gradient, diagonal, proximity, optimization, newton, proxv, solve, proximal, inverse, constrained, problem, splitting, siam, general, unique, exact, positive, hessian, min, generalized, unconstrained, step, quadratic, derivative, objective, lasso, descent, numerical, analysis, convergence, smooth, proxhi, scalar, spectral, asa, scaled, lipschitz, solving, semismooth, symmetric, sparse, constant] [] [operator, projected, approximation, machine, separable, well, proposed, sorting]

Minimizing Uncertainty in Pipelines

Nilesh Dalvi, Aditya Parameswaran, Vibhor Rastogi

Nilesh Dalvi, Aditya Parameswaran, Vibhor Rastogi

[set, probability, consider, query, hard, best, theorem, denote, minimizes, dag, complexity, active, pick, picking, report, algorithm, example, term, result, extended, note, closest, pipeline, ree, correctness, minimize, version, extractor, john, polynomial, proof, class, alina, label] [uncertainty, expected, approximate, correct, total, goal, intractable, function, optimal, based] [node, compute, tree, probabilistic, conditioned, will, model, ancestor, number, directed, inference, event, expression] [leaf, work, single, second, root, simple, computer] [problem, graph, technical, incremental, general, objective, denotes, size, weighted, graphical] [output, time] [data, reduction, approximation, linear, learning, operator, item]

Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification

Wei Bi, James Kwok

Wei Bi, James Kwok

[multilabel, algorithm, label, mlnp, set, probability, supernode, loss, unassigned, nap, masr, snv, satisfying, hbr, dag, best, extended, called, multiclass, query, path, example, minimizes, mandatory, partial, smaller, pheno] [hierarchy, conference, international, optimal, function, search, approach, water] [hierarchical, node, number, tree, posterior, will, hmc, likelihood, updating, log, parent, bayesian, enron] [leaf, root, figure, performed, pattern, training, internal] [proposition, problem, composite, assumption, symmetric, pij, method, gene, positive, greedy, solution] [prediction, time, threshold, processing] [data, learning, proposed, labeled, large, machine, table, largest, test, existing]

Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions

Richard Gibson, Neil Burch, Marc Lanctot, Duane Szafron

Richard Gibson, Neil Burch, Marc Lanctot, Duane Szafron

[regret, probability, set, theorem, bound, algorithm, best, bounded, consider, prove, provide, note] [player, average, game, action, strategy, counterfactual, exploitability, mccfr, sampled, cfr, cumulative, visited, abstract, chance, faster, poker, current, michael, equilibrium, betting, opponent, nash, return, dice, vanilla, tighter, converges, extensive, history, required, starting, round, max, martin, indicate, play, terminal] [sampling, number, sample, computing, tree, monte, carlo, parameter] [previous, figure, single, sum, recall, work] [minimization, random, iteration, solution, convergence, size] [response, time] [averaged, data, well]

Multilabel Classification using Bayesian Compressed Sensing

Ashish Kapoor, Raajay Viswanathan, Prateek Jain

Ashish Kapoor, Raajay Viswanathan, Prateek Jain

[active, label, multilabel, set, note, case, consider, fraction] [uncertainty, standard, based, key, total, function] [model, inference, number, bayesian, posterior, latent, gaussian, update, distribution, probabilistic, observed, prior, variational, joint, gamma, fully, process, turn] [precision, training, figure, accuracy, unlabeled, baseline, handle, considering, obtains] [method, compressed, sensing, random, dimensional, procedure, compressive, jointly, positive, sparse] [output, framework, traditional, prediction, weight, input] [learning, data, svm, missing, proposed, space, point, regression, vector, test, unobserved, machine, labeled, naturally, dataset, large, selection, select, informative, datasets, selected, criterion, better, linear]

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization

Stephen Bach, Matthias Broecheler, Lise Getoor, Dianne O'Leary

Stephen Bach, Matthias Broecheler, Lise Getoor, Dianne O'Leary

[algorithm, derive, set, example, case, feasible, statistical, consider, introduce, class, refer] [continuous, function, approach, average, based, evaluated, conference] [social, number, update, inference, probabilistic, markov, modeling, model, discrete, component, will] [figure, work, single] [problem, mpe, optimization, consensus, method, random, arg, ccmrfs, running, objective, solving, constrained, subproblems, solve, ccmrf, graphical, broecheler, iterative, college, dual, solved, min, scalability, xxt, naive, copy, procedure, edge, clipping, convex] [potential, time, linearly, framework, intrinsic, represent, speed, direction] [constraint, linear, learning, point, vector, machine, superior, relative]

Query Complexity of Derivative-Free Optimization

Kevin Jamieson, Rob Nowak, Ben Recht

Kevin Jamieson, Rob Nowak, Ben Recht

[oracle, comparison, algorithm, bound, lower, inf, pairwise, theorem, dfo, denote, case, probability, class, set, upper, lemma, respect, sequence, setting, assume, cfi, active, fact, bandit, query, proof, minimum, complexity, bounded, implies, depend, prove, uniformly, divergence, note, considered] [function, search, evaluation, optimal, max, based, correct, expectation] [log, distribution, will, model, parameter, gaussian, number, exp] [simple, noisy, apply, work, human] [optimization, convex, stochastic, random, lipschitz, convergence, rate, gradient, problem, procedure, journal, constant, objective, arg, independent, robust, analysis] [noise, direction] [learning, well, small, dimension]

A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets

Nicolas Le Roux, Mark Schmidt, Francis Bach

Nicolas Le Roux, Mark Schmidt, Francis Bach

[testing, set, loss, algorithm, logistic, case, note, respect, paper, sequence, assume] [cost, optimal, function, faster, average, standard, based, converges, additional, deterministic] [form, number, full, supplementary, exponential] [training, previous, work, larger, despite, improve] [convergence, method, rate, step, sag, gradient, size, stochastic, constant, iteration, proposition, achieve, iag, analysis, afg, averaging, convex, problem, independent, journal, incremental, accelerated, fik, siam, pass, pegasos, rda, optimization, momentum, nosg, esg, practical, steepest, assumption, objective, smooth, storage, regularized, iterates, afford] [effective, basic] [data, linear, learning, large, machine, better, approximation, test, selection, regularization]

Emergence of Object-Selective Features in Unsupervised Feature Learning

Adam Coates, Andrej Karpathy, Andrew Ng

Adam Coates, Andrej Karpathy, Andrew Ng

[algorithm, best, class, set] [conference, international, key] [will, scalable, distribution, model, form, full, highly, structure] [simple, complex, figure, invariant, object, feature, learned, layer, train, unlabeled, pooling, unsupervised, learn, invariance, scale, image, training, trained, work, human, discover, second, pixel, visualize, face, combine, youtube, activate, local, directly, randomly, agglomerative, clear, applying, computer, identify, single, commonly, supervision] [procedure, random, achieve, sparse, density, method, type] [cell, selective, group, system, neural, coding] [learning, linear, labeled, clustering, large, data, dataset, construct, extremely, existing, small, machine, better]

Learning as MAP Inference in Discrete Graphical Models

Xianghang Liu, James Petterson, Tiberio Caetano

Xianghang Liu, James Petterson, Tiberio Caetano

[loss, label, set, algorithm, runtime, note, paper, example, complexity, statistical, main, probability, fact, logistic, argument, margin] [continuous, good, approach, open, option, key, observation, function, approximate] [discrete, inference, model, will, number, parameter, ability, discretization, fully, chain] [map, work, training, accuracy, structured, figure, directly, complex, svms] [random, problem, convex, graph, optimization, formulation, high, graphical, assumption, method, clique, exact, robustness, theoretical, general, noiseless, analysis] [framework, connected, noise, time, direction] [learning, linear, machine, binary, svm, small, data, well, vector, datasets, regularization, space, regularizer]

Learning curves for multi-task Gaussian process regression

Peter Sollich, Simon Ashton

Peter Sollich, Simon Ashton

[bayes, case, asymptotic, consider, lower, example, order, square, set, asymptotically, setting, assume, discussion, term] [average, function, approach, initial, good] [number, gaussian, will, form, posterior, process, pure, fully, prior, latent, explicitly, expression] [training, second, figure, feature, single, level, sum, learned, product] [matrix, covariance, smooth, block, diagonal, corresponding, general, solving] [curve, noise, prediction, input, decay, transfer, gain, limit, study, effective, solid, surface] [learning, task, error, regression, approximation, mit, large, kernel, variance, machine, linear, averaged, small, london, space, rough, individual]

A mechanistic model of early sensory processing based on subtracting sparse representations

Shaul Druckmann, Tao Hu, Dmitri Chklovskii

Shaul Druckmann, Tao Hu, Dmitri Chklovskii

[bregman, algorithm, series, result, consistent, note, assume, consider] [function] [predictive, transmission, will, number, model] [feature, representation, view, higher, internal, considering, cross, single] [sparse, step, iteration, bandwidth, journal, solution, analysis, convex] [stimulus, principal, feedback, time, circuit, activity, coding, interneurons, sensory, negative, interneuron, response, early, neuron, neural, threshold, linearized, equation, prediction, brain, processing, transient, transmitted, olfactory, transmit, ganglion, input, natural, direct, channel, inhibitory, membrane, nature, longer, framework, signal, output, receptive, nonlinear, residual, implement, delay, synaptic, efficient, retinal, lateral, inhibition, noise, defined, network, correlated, limited, integration] [linear, projection, accurate, common, point, error, well]

Multi-Stage Multi-Task Feature Learning

Pinghua Gong, Jieping Ye, Changshui Zhang

Pinghua Gong, Jieping Ye, Changshui Zhang

[algorithm, bound, lemma, set, theorem, remark, proof, inequality, empirical, comparison, result, case, loss, denote, upper, annals, order, term] [max, based, state] [parameter, gaussian, number, exp] [feature, training, mri, side, multiple, figure] [estimation, sparse, analysis, condition, min, formulation, matrix, assumption, solution, theoretical, propose, random, eigenvalue, lasso, convex, nonzero, zhang, regularized, incoherence, denoted, achieves] [stage, weight, effectiveness, nmse, noise] [learning, error, msmtfl, data, proposed, averaged, common, task, shared, row, performance, regularization, synthetic, ratio, jalali, well, dirty, large, paramter, isolet, smallest, demonstrate, restrictive, dirtymtl, weaker, amse]

An Integer Optimization Approach to Associative Classification

Allison Chang, Dimitris Bertsimas, Cynthia Rudin

Allison Chang, Dimitris Bertsimas, Cynthia Rudin

[transaction, class, iter, mio, set, list, orc, highest, algorithm, win, mining, ranked, frontier, note, rgen, bound, board, interpretability, upper, term, lim, ranking, paper, integer, interestingness, tij, applicable, chose, report, called] [decision, optimal, average, cart, international, null, based, conference, add, approach] [number, model, generate, parameter] [accuracy, train, figure, work, training, include, second, designed, multiple, interpretable, top, build, corresponds, higher, body, help] [rank, formulation, objective, optimization, solve, support, method, achieve, scaled, correctly] [rule, association, time, predicts] [test, data, constraint, table, learning, machine, regularization, vector, point, dataset, small, binary]

Distributed Non-Stochastic Experts

Varun Kanade, Zhenming Liu, Bozidar Radunovic

Varun Kanade, Zhenming Liu, Bozidar Radunovic

[payoff, regret, communication, algorithm, coordinator, consider, case, lower, bound, fri, fpl, oblivious, adversary, query, counter, online, dfpl, received, follow, note, theorem, leader, setting, assume, simultaneously, proof, lemma, asymptotically, observe, decide, guarantee, maintain, probability, best, forecaster, perturbed, applicable, upper, version, lef, choose, term] [expert, cumulative, expected, receives, total, cost, optimal, approximate, standard, required, playing] [site, model, number, will, parameter, described, variable, full] [work, simple, figure] [distributed, block, random, problem, achieves, step, regularized, optimization, stochastic] [time, prediction, system, phase, noise, natural] [vector, better, learning, large, machine]

Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs

Anima Anandkumar, Ragupathyraj Valluvan

Anima Anandkumar, Ragupathyraj Valluvan

[complexity, set, consider, minimum, provide, class, denote, algorithm, lower, probability, bound, fraction, annals, chosen, note, depend] [based, tradeoff] [latent, model, tree, observed, number, hidden, node, ising, sample, loopy, lda, topic, girth, log, structure, maximum, parameter, markov, perplexity, degree, dmax, tractable, variable, bic, distribution, discrete, process, gaussian, discovering, pmi] [local, depth, work, incorporate, unlabeled, evaluate] [method, graph, graphical, edge, correlation, estimation, random, dmin, establish, presence, require, reconstruction] [decay, potential, regime, natural, long, output] [learning, proposed, distance, locally, performance, selection, large, machine, data, binary]

Near-optimal Differentially Private Principal Components

Kamalika Chaudhuri, Anand Sarwate, Kaushik Sinha

Kamalika Chaudhuri, Anand Sarwate, Kaushik Sinha

[algorithm, complexity, set, lower, theorem, case, theory, gap, guarantee, interesting, bound, empirical, chose, change, induced] [utility, approximate, required, sensitive, standard, future] [sample, distribution, parameter, exponential, number, sampling, log, gaussian] [ppca, work, top, second, single, accuracy, level] [matrix, pca, random, method, subspace, general, theoretical, perturbation, low, procedure, eigenvector, scaling, rank, singular, eigenvalue] [output, noise, mechanism, computation] [data, privacy, private, differentially, sulq, approximation, differential, dimension, performance, sensitivity, well, talwar, reduction, nonprivate, dimensionality, orthonormal, special, dwork, variance, point, real, large, vector, machine, bingham]

Random function priors for exchangeable arrays with applications to graphs and relational data

James Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel Roy

James Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel Roy

[theorem, set, case, probability, measurable, statistical, consider, supported, uniform, suitable, discussion] [function, school, sampled, continuous, international, conference] [model, latent, gaussian, array, exchangeable, process, bayesian, relational, prior, xij, nonparametric, sampling, distribution, number, observed, uij, form, variable, inference, parameter, conditional, slice, gplvm, structure, eigenmodel, xji, modeling, posterior, modelling, sample, university, probabilistic, exchangeability] [representation, protein, scale, work] [random, graph, matrix, journal, sparse, general, assumption, stochastic, high, symmetric, adjacency] [wij, network, processing, neural, natural, noise, interpreted] [data, space, kernel, machine, learning, pmf, approximation, common]

Mirror Descent Meets Fixed Share (and feels no regret)

Nicolò Cesa-Bianchi, Pierre Gaillard, Gabor Lugosi, Gilles Stoltz

Nicolò Cesa-Bianchi, Pierre Gaillard, Gabor Lugosi, Gilles Stoltz

[regret, loss, online, forecaster, sequence, algorithm, theorem, shifting, bound, share, dtv, best, corollary, notion, lemma, case, setting, proof, comparison, mirror, chosen, measure, note, simplex, consider, order, quantity, minimize, introduced, compete, paris, mixing, element, introduce] [discounted, expert, focus, cumulative, horizon, shift, standard, conference, function, round, current, total, chooses, goal, max] [update, number, supplementary, form] [tracking, corresponds, sum, work] [generalized, convex, analysis, general, optimization, descent, suppose, journal, satisfy] [adaptive, tuning, prediction, regularity, time, difference, expressed, ecole] [learning, small, machine, special, shared, linear, projection, projected, generalizes, logarithmic]

Perfect Dimensionality Recovery by Variational Bayesian PCA

Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan

Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan

[theorem, bayes, true, result, energy, assume, derived, derive, note, property, probability, set, empirical, situation, implies, algorithm] [function, observation, based, search] [bayesian, posterior, distribution, variational, observed, model, probabilistic, log, sample, parameter, analytic, gaussian] [global, simple, depicted, local, figure, automatic, second, perform] [evb, matrix, solution, estimator, sparsity, condition, recovery, singular, pca, estimation, free, random, rigorous, theoretical, rank, practical, mpul, analysis, shrinkage, independence, rate, covariance, journal, proposition, estimated, tokyo, cah, minimizer, quartic, denotes, numerical, cbh, exact, vbmf] [noise, threshold, perfect, implementation, behavior, limit, principal, theoretically] [variance, dimensionality, selection, factorization, large, well, approximation, advantage]

Spectral learning of linear dynamics from generalised-linear observations with application to neural population data

Lars Buesing, Jakob Macke, Maneesh Sahani

Lars Buesing, Jakob Macke, Maneesh Sahani

[set, algorithm, consistent, true, case] [observation, function, state, approach, initial, approximate, based] [model, observed, parameter, gaussian, latent, process, moment, distribution, computational, likelihood, factor, poor, generated, inference, poisson, number, described, loading] [training, truth, multiple, ground, local, compared] [matrix, hankel, size, covariance, method, estimation, estimate, random, subspace, underlying, spectral, singular, yield] [pldsid, neural, ssid, time, initialisation, dynamical, plds, spectrum, system, external, initialised, instantaneous, difference, conversion, input, activity, computed] [data, performance, linear, well, better, large, approximation, learning]

Convex Multi-view Subspace Learning

Martha White, Yaoliang Yu, Xinhua Zhang, Dale Schuurmans

Martha White, Yaoliang Yu, Xinhua Zhang, Dale Schuurmans

[set, loss, algorithm, lemma, runtime, note, case, theorem, increasing, appendix] [optimal, max, approach, key, goal] [latent, number, conditional, variable, allows, conditionally] [training, representation, figure, denoising, local, image, global, noisy, higher, face, achieved, single, canonical, compare] [msl, subspace, convex, ssl, min, lsl, matrix, norm, yte, formulation, reconstruction, problem, xte, recovery, independence, optimization, sparse, recovering, rank, objective, independent, analysis, solve, proposition, lighting, concave, runtimes, constrained, dual, recover, alternating, hte, correlation, zktr, dimensional, procedure, minimization, solution, high] [noise, expressed, developed] [learning, data, error, synthetic, quality, dimensionality, shared, boosting, ratio, cca, dataset, inner, worse, linear]

Regularized Off-Policy TD-Learning

Bo Liu, Sridhar Mahadevan, Ji Liu

Bo Liu, Sridhar Mahadevan, Ji Liu

[algorithm, set, mirror, term, loss, comparison, design, result, note, online] [function, tdc, based, conference, mspbe, approach, reinforcement, state, international, bellman, policy, eligibility, action, formulated, cost, max, inverted, transition, concern, pendulum, reward, approximate, star] [number, compute, markov, sample, sampling, computing] [feature, figure, temporal, experiment, learn, representation] [convex, gradient, regularized, objective, problem, formulation, optimization, convergent, descent, analysis, proximal, convergence, stochastic, method, sparse, subgradient, matrix, novel, condition, minimization, min, underlying] [equation, computation, basis, difference, presented, material, experimental] [linear, learning, selection, regularization, machine, proposed, error, table, space, performance, well, column]

Multi-criteria Anomaly Detection using Pareto Depth Analysis

Ko-Jen Hsiao, Kevin Xu, Jeff Calder, Alfred Hero

Ko-Jen Hsiao, Kevin Xu, Jeff Calder, Alfred Hero

[set, best, theorem, denote, algorithm, strictly, consider, measure] [pareto, anomaly, pda, front, dyad, anomalous, nominal, approach, grid, hero, trajectory, optimality, create, located, based, conference, scalarization, search, iii] [sample, will, number, distribution, associated, supplementary, computing] [detection, multiple, training, score, depth, figure, single, detect, experiment, view, corresponds, compared, second, sum, work] [corresponding, method, problem, analysis, density, positive] [time, weight, processing, study] [linear, test, data, dissimilarity, learning, nearest, proposed, criterion, combination, item, auc, machine, performance, dij, large, better, geometry]

Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes

Jake Bouvrie, Jean-Jacques Slotine

Jake Bouvrie, Jean-Jacques Slotine

[consider, term, theorem, respect, assume, redundancy, set, case] [observation, equilibrium, trajectory, decision, control, cost] [will, process, computational, form, model, gaussian, distribution, collection, degree, prior, parameter] [noisy, impact] [gradient, convergence, solution, stochastic, problem, independent, descent, rate, general, averaging, plot, quadratic, covariance, random, distributed] [noise, synchronization, coupling, network, neural, system, time, strength, coupled, correlated, mechanism, visual, equation, corrupted, observational, sensory, nervous, behavior, ambient, role, brownian, adjust, dwt, experimental, dynamic, difference, brain, increase, adaptive, plausible, implementing] [regularization, learning, error, parallel, variance, regression, approximation, data, common, functional, small]

Calibrated Elastic Regularization in Matrix Completion

Tingni Sun, Cun-Hui Zhang

Tingni Sun, Cun-Hui Zhang

[theorem, bound, calibrated, algorithm, proof, inequality, lemma, smaller, order, proper, iid, main, uniformly, term] [optimal, simulation, unknown] [log, sample, factor, hpt, observed, rest, allows] [level, training, second, noisy, target, svd, sum, figure] [matrix, size, rank, lasso, coherence, norm, penalty, frobenius, singular, completion, estimator, exact, nuclear, requirement, problem, recovery, iterative, arg, min, random, analysis, elastic, suppose, estimation, convex, noiseless, minimization, quadratic, proposition, solution, estimated, method, technical, distributed, scaled, simpler] [spectrum, noise, proportion, complete, requires] [error, linear, proposed, data, large, space, ratio, regularization, parallel, learning, test, constraint, advantage, machine]

Stochastic Gradient Descent with Only One Projection

Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi

Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi

[algorithm, lemma, theorem, bounded, online, bound, inequality, assume, regret, proof, probability, main, note, set, sequence, convexity, order, term, feasible, result, exists, depend, remark, complexity] [function, optimal, domain, standard, max, key, idea, cost] [variable, exp, parameter, updating, will, develop, computational, update] [sgd, complex, work] [convex, optimization, stochastic, gradient, rate, convergence, solution, general, problem, descent, min, step, assumption, iteration, objective, analysis, norm, achieve, dual, primal, method, high, eigenvalue, lagrangian, intermediate, achieves, greedy, strong, sparse, mild, usa, positive, theoretical] [making, requires, computation] [projection, proposed, learning, constraint, machine, approximation, projecting, unbiased, psd]

Multiclass Learning Approaches: A Theoretical Comparison with Implications

Amit Daniely, Sivan Sabato, Shai Shalev Shwartz

Amit Daniely, Sivan Sabato, Shai Shalev Shwartz

[hypothesis, class, multiclass, msvm, complexity, ecoc, theorem, halfspaces, label, analyze, erm, set, probability, note, lemma, respect, case, lower, bound, denote, hova, algorithm, corollary, upper, regret, allwein, crammer, chosen, main, daniely, consider, proof, stated, length, singer, exists, result, best, realizable, roughly] [choice, based, function, approach] [sample, tree, will, distribution, number, associated, rest] [training, randomly, larger, perform] [estimation, random, analysis, underlying, method, problem, essentially, journal, graph, high, matrix, constant, close] [prediction, output, left, difference] [error, approximation, binary, code, learning, dimension, large, reduction, vector, small, better, linear, distance, performance]

Fusion with Diffusion for Robust Visual Tracking

Yu Zhou, Xiang Bai, Wenyu Liu, Longin Jan Latecki

Yu Zhou, Xiang Bai, Wenyu Liu, Longin Jan Latecki

[set, measure, algorithm, lim, lemma, best, complexity, consider, probability] [based, conference, approach] [diffusion, process, compute, indicates, number, pair, will, represented] [tracking, frame, computer, ivt, ieee, single, pattern, precision, target, location, tpg, center, fusion, product, multiple, image, vision, vec, combine, simple, three, patch, improve, appearance, object, matching, society, background, color, tracker, coke, cliff, surfer] [graph, robust, matrix, method, weighted, iterative, analysis] [visual, threshold, time, experimental, weight] [similarity, linear, learning, error, machine, data, proposed, table, tensor, sylvester, task, candidate, column, original, vector, challenging]

Learning Probability Measures with respect to Optimal Transport Metrics

Guillermo Canas, Lorenzo Rosasco

Guillermo Canas, Lorenzo Rosasco

[measure, probability, empirical, bound, order, lemma, lower, upper, set, theorem, voronoi, inequality, note, supported, algorithm, consider, ewp, closest, absolutely, quantizer, derived, series, wasserstein, transport, borel, induced, instance, best, prove, proof, sense, term, theory, drawn, respect, bounded, minimizing, measurable, springer] [optimal, cost, continuous, expected] [probabilistic, sample, distribution, described, concentration, discrete] [unsupervised, matching, weak, applied] [convergence, problem, rate, decomposition, size, close, density, support, random, journal, der] [population, connection, transportation, equation, behavior, output, arrow, study, unit] [learning, distance, quantization, performance, existing, space, metric, manifold, large, approximation, riemannian, point, well, projection]

Value Pursuit Iteration

Amir massoud Farahmand, Doina Precup

Amir massoud Farahmand, Doina Precup

[algorithm, set, probability, sequence, empirical, bound, upper, measurable, provide, main, theorem, result, denote, inf, absolutely, consider, follow, case, theory, proof, paper] [function, vpi, optimal, policy, qmax, omp, bellman, future, reinforcement, conference, behaviour, transition, optimality, approximate, international, ronald, goal, based, csaba, deterministic, earlier, barron, farahmand, initial] [number, distribution, model, link, will, supplementary, atom, markov, allows, nonparametric] [representation, learned, feature, second, matching, product] [dictionary, iteration, sparse, norm, pursuit, greedy, close, theoretical, problem, procedure, analysis, method, estimate, size] [represent, study, basis] [approximation, error, learning, space, selection, operator, machine, large, orthogonal, linear]

"Compressive neural representation of sparse, high-dimensional probabilities"

Xaq Pitkow

Xaq Pitkow

[probability, perceptron, set, theory, bounded] [function, state] [distribution, number, posterior, process, hidden, will, probabilistic, sampling, inference, generated, structure, represented] [figure, boltzmann, pattern, noisy, reconstruct, representation, ieee, visible, randomly, simple, product] [compressive, random, sparse, compressed, sensing, measurement, matrix, reconstruction, cxx, arxiv, independent, nonzero, preserved, reconstructed] [signal, sgn, perceptrons, represent, nonlinear, neural, brain, activity, evidence, input, population, threshold, feedforward, ensure, wij, natural, sensory, encoding, accurately] [binary, large, inner, vector, space, variance, error, linear, dimensionality, small, embedding]

Learning Manifolds with K-Means and K-Flats

Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco

Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco

[set, case, voronoi, empirical, order, setting, measure, note, bound, algorithm, consider, example, approximated, probability, quantity, respect, piecewise, theorem, risk, provide, fundamental, statistical, instance, class, considered, result, mathematical, symposium, depend, supported, studied, minimum, sense, best] [expected, optimal, international] [distribution, sample, discrete, form, typically] [global, embedded, ieee, region, higher, curvature] [reconstruction, analysis, problem, solution, assumption, high, constant, dictionary, geometric, size, dimensional, general, technical, random] [behavior, study, framework, unit, equation] [approximation, manifold, space, learning, error, data, hilbert, quantization, well, dimensionality, tangent, performance, dimension, large, clustering, orthogonal, better, naturally]

A Polynomial-time Form of Robust Regression

Yaoliang Yu, Ozlem Aslan, Dale Schuurmans

Yaoliang Yu, Ozlem Aslan, Dale Schuurmans

[loss, bounded, set, empirical, consistency, appendix, consider, note, risk, denote, polynomial, consistent, guarantee, probability, theorem, bound, assume, case] [standard, function, based, unknown, strategy, evaluation, approximate, generally, deterministic, remains, allow, domain] [parameter, form, computational, will, number, base, variational, sample, allows] [single, training, local, weak, compared, experiment, leverage, randomly] [convex, robust, min, estimator, robustness, general, method, minimization, breakdown, arg, outlier, solution, rounded, tikhonov, random, regularized, relaxation, lts, problem, unbounded, relaxed, alternating, tractability, estimate, objective, achieve, establish, trimmed, conducted] [response, expressed, experimental, adaptive] [regression, data, regularization, vector, approximation, test, kernel, learning, machine, point, proposed, table]

Iterative ranking from pair-wise comparisons

Sahand Negahban, Sewoong Oh, Devavrat Shah

Sahand Negahban, Sewoong Oh, Devavrat Shah

[algorithm, walk, probability, btl, lemma, ranking, theorem, main, pairwise, result, bound, assume, induced, consider, proof, comparison, version, provide, aji, denote, setting, chosen, term, outcome] [stationary, transition, based, aggregation, choice, state, player] [distribution, model, will, markov, chain, number, pair, log, ordering, sampling, reversible, sample, dmax, analytic, count, likelihood] [score, work, object, recall] [random, matrix, rank, graph, spectral, aij, underlying, pij, analysis, positive, centrality, iterative, problem, estimate, theoretical, constant, corresponding, high, rate, estimated, establish, general] [presented, ideal, preferred, desired, weight, long, natural, wide] [error, item, well, vector, data, performance, operator, ratio]

Identifiability and Unmixing of Latent Parse Trees

Daniel Hsu, Sham Kakade, Percy Liang

Daniel Hsu, Sham Kakade, Percy Liang

[def, algorithm, consider, sentence, mixing, probability, note, set, exists, theorem, varies, iff, length, consists, measure, class, integer] [parsing, observation, function, parse, based, state, goal, standard, additional] [model, tree, dependency, observed, constituency, latent, topology, parameter, distribution, compound, pcfg, will, heck, markov, node, hidden, generate, number, unmixing, compute, structure, word, generative, probabilistic, mixture, collection, turn, joint, dentifiability] [figure, jacobian, corresponds, sum, unsupervised, applied, work, root, product, restricted, local] [matrix, recover, spectral, estimate, diagonal, rank, numerical, problem, estimation, general] [left, system] [learning, space, binary, row, technique]

Persistent Homology for Learning Densities with Bounded Support

Florian Pokorny, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic

Florian Pokorny, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic

[probability, consider, bounded, interval, set, example, order, note, class, subset] [approach, based, max, choice, admissible, standard] [sample, gaussian, model, mixture, compute, number, sampling, probabilistic, topology, prior, will, structure, parameter, inferred] [figure, region, top, complex, display, work, track] [density, topological, bandwidth, homology, support, corresponding, amise, betti, estimator, racetrack, barcode, estimation, supp, mid, min, topologically, method, size, barcodes, norm] [persistent, spherical, displayed, position, connected, velocity, study, indicated, computed, ith, motion] [data, kernel, learning, space, dimension, large, vector, error, synthetic]

3D Social Saliency from Head-mounted Cameras

Hyun Soo Park, eakta Jain, Yaser Sheikh

Hyun Soo Park, eakta Jain, Yaser Sheikh

[algorithm, respect, calibration] [gaze, ray, primary, head, people, eye, regard, apex, concurrence, oblique, person, understanding, plane, based, current, standard, cone, musical, move, third] [social, distribution, model, number, form, will, gaussian, maximum, structure] [camera, figure, view, center, saliency, scene, multiple, capture, pose, top, reconstruct, ground, ieee, truth, face, side, representation, directly, computer, human, location, image, variation, half] [estimate, density, method, estimation, estimated, reconstructed, gradient, coordinate, estimating] [orientation, motion, direction, group, position, system, visual, equation, unit] [point, distance, vector, geometry, projection, real, kernel]

Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions

Mathieu Sinn, Bei Chen

Mathieu Sinn, Bei Chen

[theorem, lim, mixing, sequence, ergodicity, denote, note, strictly, asymptotic, proof, result, order, paper, introduce, theory, ergodic, consider, write, bound, set, exists, consistency, extended, assume, hold, measurable, version, establishes, probability, cmcs, fundamental, satisfying, introduced, annals, corollary, statistical] [function, key, transition, conference, international, behaviour, context, tail, max] [conditional, markov, distribution, likelihood, model, hidden, will, maximum, concentration, component, marginal] [feature, aligned, second] [random, suppose, unbounded, condition, assumption, establish, analysis, step, proposition, hessian, constant, established, positive] [limit, time, potential, central, difference, study] [space, vector, learning, linear, machine]

Multiple Choice Learning: Learning to Produce Multiple Structured Outputs

Abner Guzmán-Rivera, Dhruv Batra, Pushmeet Kohli

Abner Guzmán-Rivera, Dhruv Batra, Pushmeet Kohli

[set, algorithm, loss, best, energy, notice, observe, minimizes, pairwise, label] [function, goal, standard] [model, number, typically, parameter, latent] [multiple, single, structured, segmentation, produce, training, map, learn, score, image, protein, work, pixel, train, figure, baseline, outperforms, object] [min, objective, problem, descent, formulation, coordinate, optimization, graph, positive, iteration, step] [prediction, output, input, natural, plausible, producing] [mcl, error, learning, ssvm, diverse, predictor, machine, interactive, task, space, quality, predicting, test, ensemble, performance, proposed, accurate, clustering, mapping, dataset, user]

Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models

Kei Wakabayashi, Takao Miura

Kei Wakabayashi, Takao Miura

[probability, algorithm, path, sequence, set, complexity, notation] [state, transition, execution, null, based, function, calculate, observation, terminates] [markov, hhmm, hidden, hierarchical, parameter, inference, sampling, hhmms, chain, gibbs, forward, backward, minsr, fba, ftd, latent, adij, tree, structure, hmms, log, distribution, likelihood, gbiv, ffb, enables, gadij, termination, fbas, flattening, initialization, model, sampler, identical, biv, conditional] [level, single, figure, unsupervised, dbn, corresponds, depth, apply, training] [method, estimation, convergence, iteration] [activation, time, absolute, direct, dynamic] [learning, proposed, space, table, existing, conduct, data, constraint]

Communication-Efficient Algorithms for Statistical Optimization

Yuchen Zhang, John Duchi, Martin Wainwright

Yuchen Zhang, John Duchi, Martin Wainwright

[algorithm, empirical, theorem, statistical, risk, provide, set, denote, order, paper, loss, bound, corollary, main, smoothness, term, probability, best, advertisement] [average, standard, based, optimal, approach, function, search] [number, parameter, mixture, distribution, sample, form, log] [figure, single, local, second, training] [bavgm, avgm, distributed, stochastic, method, estimate, gradient, convex, convergence, assumption, problem, rate, averaging, descent, size, solving, optimization, versus, plot, estimator, matrix, require, hessian, constant, achieves, procedure, analysis, journal, minimization] [bias, population, processing, negative, prediction] [data, dataset, bootstrap, vector, error, regression, linear, performance, machine, large, approximation, better, user]

Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning

Ulugbek Kamilov, Sundeep Rangan, Alyson Fletcher, MIchael Unser

Ulugbek Kamilov, Sundeep Rangan, Alyson Fletcher, MIchael Unser

[algorithm, asymptotic, consider, true, lim, result, class, set, consistency, oracle, theorem, paper, asymptotically, sequence, consistent, suitable] [approximate, max, function, correct, unknown, expectation, state, choice, belief, deterministic] [parameter, gaussian, message, will, distribution, prior, joint, described, bayesian, model, propagation, conditional, variable] [ieee, figure, simple] [gamp, estimation, random, method, scalar, sparse, componentwise, compressed, measurement, mse, reconstruction, passing, amp, estimate, converge, evolution, lasso, general, analysis, matrix, assumption, sensing, problem, family] [adaptive, adaptation, signal, output, input, noise, channel, behavior, considerable, nonlinear] [large, linear, vector, performance, learning, variance, ratio]

Feature Clustering for Accelerating Parallel Coordinate Descent

Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David Haglin

Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David Haglin

[algorithm, loss, upper, note, order, consider, case, design, smaller, choose, set, radius, bound, provide] [function, heuristic, expected, based, updated, explore] [number, will, parameter] [feature, figure, single, work, product, second, simple, three, ten] [coordinate, descent, convergence, analysis, block, clustered, greedy, regularized, spectral, convex, corresponding, objective, step, rel, stochastic, norm, family, general, nonzero, minimization, processor, smooth, proposition, solution, rate] [time, absolute, weight, memory] [clustering, parallel, randomized, data, nonzeros, inner, nnz, large, largest, table, scherrer, regularization, machine, special, shotgun, select, euters, thread, separable, kdda, national, datasets, gathered, accept]

Multiple Operator-valued Kernel Learning

Hachem Kadri, Alain Rakotomamonjy, Francis Bach, Philippe Preux

Hachem Kadri, Alain Rakotomamonjy, Francis Bach, Philippe Preux

[algorithm, consider, case, set, respect, setting, order] [function, based, continuous] [number, integral, associated] [multiple, sum, ecog, work] [problem, optimization, positive, block, method, matrix, solving, min, solve, dual, descent, solution, analysis, norm, convergence, propose, estimating, lagrangian, coordinate] [movement, output, response, system, prediction, framework, amplitude, bci, time, nonlinear, residual, moving, interface, input, signal] [kernel, functional, learning, operator, regression, movkl, linear, hilbert, combination, data, space, reproducing, ridge, vector, real, krr, lagrange, dataset, rkhs, multiplication, proposed, mkl, rsse, error]

Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery

Ehsan Elhamifar, Guillermo Sapiro, Rene Vidal

Ehsan Elhamifar, Guillermo Sapiro, Rene Vidal

[algorithm, consider, pairwise, subset, probability, sentence, note, set, smaller, term, notice, usps] [cost, based, max] [number, cluster, parameter, word, associated, collection, typically, triangle] [figure, training, corresponds, image, video, ieee, multiple, computer, pattern] [program, matrix, optimization, solution, problem, min, theoretical, denotes, sparse, nonzero, analysis, minimization, method, require, distributed] [range, encoding, threshold, left, encode, computed] [data, representative, point, proposed, regularization, zij, select, dij, text, well, selecting, clustering, error, performance, equal, dissimilarity, synthetic, machine, better, asymmetric, selection, euclidean, dataset, large, selected, small, trace, isolet]

Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA

C. Minos Niu, Sirish Nandyala, Won Joon Sohn, Terence Sanger

C. Minos Niu, Sirish Nandyala, Won Joon Sohn, Terence Sanger

[order, probability, mathematical, communication, note, design] [current, control, evaluated, function, skeletal, based, state] [model, will, described, number, component, university, modeling, logic] [human, figure, produce, complex, child] [department, journal, sparse] [motor, muscle, emulation, fpga, neuron, platform, neural, spinal, spindle, sensory, nervous, system, physiological, time, emulated, implemented, spike, monosynaptic, clock, input, recruitment, unit, synapse, hardware, engineering, emg, neurophysiology, operate, combinational, spiking, nature, asynchronous, speed, clinical, force, movement, injury, division, southern, typical, biomedical, network, california, childhood, programmable, sparsely, femu, threshold] [real, differential, data, parallel, linear, well]

Perceptron Learning of SAT

Alex Flint, Matthew Blaschko

Alex Flint, Matthew Blaschko

[sat, algorithm, polynomial, dpll, literal, sentence, proof, clause, theorem, margin, branching, set, setting, occurences, perceptron, horn, branch, computable, exists, propositional, length, case, mistake, planar, consider, minisat, subset, bounded] [search, function, decision, valuation, based, conference, heuristic, current, approach, total, return] [will, number, variable, update, node, tree, propagation, logic, generated] [feature, training, applied, figure, canonical, priority, score, simple, include, work, learn] [positive, procedure, problem, solution, size, application, graph, stochastic] [time, unit, negative, hardware, rule, cnf, boolean, activity, framework] [learning, yij, proposed, validation, space, performance, selected]

Learning Networks of Heterogeneous Influence

NAN DU, Le Song, Alex Smola, Ming Yuan

NAN DU, Le Song, Alex Smola, Ming Yuan

[true, algorithm, set, called, probability, note, observe] [function, average, parametric, continuous, based] [node, transmission, kernelcascade, diffusion, hazard, survival, event, will, likelihood, netinf, model, num, cascade, number, fji, netrate, exp, rayleigh, log, hidden, site, infected, structure, pair, inferred, parent, directed, social, process, occurs, pdf, modeling, stamp, hji, form, sji, networked, mix, piece] [figure, simple, capture, grouped, three] [optimization, estimated, problem, edge, convex, type, recover, analysis, underlying, method, corresponding, estimate, lasso] [network, time, negative] [kernel, better, data, learning, synthetic, real, performance, regularization, individual, rbf]

FastEx: Hash Clustering with Exponential Families

Amr Ahmed, Sujith Ravi, Shravan Narayanamurthy, Alex Smola

Amr Ahmed, Sujith Ravi, Shravan Narayanamurthy, Alex Smola

[probability, bound, note, set, measure, example, provide, instance, theorem, empirical] [total, standard, conference, cost, average, approach, key] [distribution, sampling, number, cluster, exponential, proposal, compute, conjugate, log, update, inference, sampler, likelihood, collapsed, dirichlet, document, draw, fastex, gibbs, model, prior, sample, parameter, mixture, maximum, latent, scalable, will, associated, discrete, multinomial, process, gaussian, predictive, normalization] [single, baseline, product, perform, achieved] [estimate, problem, method, family, random, estimation, high, general] [time, natural, increase] [data, clustering, hash, large, quality, fast, approximation, binary, inner, hashing, similarity, parallel, table]

Multiclass Learning with Simplex Coding

Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco, Jean-Jacques Slotine

Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco, Jean-Jacques Slotine

[loss, simplex, multiclass, case, risk, considered, complexity, comparison, class, consider, online, margin, theorem, suitable, excess, explicit, set, consistency, square, statistical, derive, bayes, multicategory, induced, consistent, theory, paper, note, extension, remark, appendix, hinge, inequality, depends, empirical] [function, approach, expected, based, cost] [number, computational, distribution, computing] [map, considering, feature] [relaxation, convex, analysis, regularized, support, problem, journal, batch, corresponding, condition, solving, versus] [coding, rule, decoding, framework, fisher, noise, natural] [binary, svm, vector, large, error, learning, machine, regularization, space, performance, kernel, table, data, boosting, point, rbf]

Learning Label Trees for Probabilistic Modelling of Implicit Feedback

Andriy Mnih, Yee Whye Teh

Andriy Mnih, Yee Whye Teh

[algorithm, probability, explicit, set, path, term, ranking, label, protocol, depend, best, assume] [based, approach, evaluation] [model, tree, implicit, log, node, factor, perplexity, will, probabilistic, number, language, modelling, scalable, bpr, distribution, structure, irrelevant, develop, evaluating, unselected, hierarchical, bmf, updating, typically, assigned] [training, level, learned, learn, child, trained, produce, single] [matrix, random, gradient, problem] [feedback, time, contribution, relevant, neural, making] [item, user, collaborative, learning, performance, selected, selection, proposed, small, unobserved, data, large, binary, test, lth, factorization, clustering, better, dataset, linear, movielens, rating, task, table, advantage]

Topic-Partitioned Multinetwork Embeddings

Peter Krafft, Juston Moore, Bruce Desmarais, Hanna Wallach

Peter Krafft, Juston Moore, Bruce Desmarais, Hanna Wallach

[communication, set, order, algorithm, variant, modularity, drawn] [sampled, conference, average] [model, email, topic, observed, nhc, associated, distribution, organizational, actor, county, exploratory, number, posterior, erosheva, represented, prior, concentration, modeling, parameter, predictive, enron, intended, ability, assignment, hanover, lsm, inferred, latent, joint, development, public, degree, social, assortativity, transitivity, generative, dirichlet, subnetworks, manager, link] [figure, pattern, baseline, visualization, discover, visualize, second, directly, three] [coherence, analysis, random, graph, relationship, corresponding, journal] [network, principled, prediction, typical] [data, euclidean, space, synthetic, performance, text, test, distance, demonstrate]

Graphical Models via Generalized Linear Models

Eunho Yang, Pradeep Ravikumar, Genevera Allen, Zhandong Liu

Eunho Yang, Pradeep Ravikumar, Genevera Allen, Zhandong Liu

[class, set, statistical, probability, provide, case, consider, note, question, true, studied, measure] [key, function, parametric, approach, standard] [distribution, model, exponential, conditional, joint, exp, poisson, log, structure, gaussian, node, ising, markov, multinomial, parameter, form, discrete, number, will, undirected, university, rest] [learned, figure, canonical, work] [graphical, glm, graph, family, genomic, general, neighborhood, multivariate, random, suppose, constant, recovery, cancer, analysis, high, assumption, generalized, univariate, proposition, estimate, breast, edge, problem, glioblastoma, underlying, tumor, corresponding, technical, sparsity, successful, size] [network, negative, study] [data, linear, learning, selection, vector]

Memorability of Image Regions

Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva

Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva

[algorithm, probability, ranking, set, deviation, volume] [standard, average, people, conference] [model, probabilistic, sample, process, described] [image, memorability, region, local, feature, representation, color, human, multiple, global, internal, automatic, forgotten, computer, work, memorable, semantic, learned, pyramid, score, isola, object, vision, spatial, figure, texture, corresponds, learn, remember, scene, saliency, ground, pattern, noisy, automatically, map, top, ieee, truth, single] [dictionary, type, high, size, method, rank, corresponding, propose, gradient, novel, low, close] [visual, memory, natural, experimental, framework, external, predict, effective, predicted] [performance, learning, individual, distance, predicting, dataset, large, linear, proposed]

Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence

Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric

Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric

[arm, set, algorithm, best, budget, ugape, complexity, regret, setting, bound, case, probability, forecaster, lemma, smaller, prove, ugapeb, ugapec, bandit, fixed, returned, introduced, interval, appendix, write, note, called, result, stopping, considered, returning, upper, empirical, studied, fact, gap, extended, consider, corollary, pulled, notion, report] [max, exploration, return, conference, international, approach, optimal] [event, number, sample, parameter, allows, distribution] [accuracy, simple, figure, product, level, multiple] [problem, analysis, theoretical, arg, min, stochastic, high, step, objective, bernstein] [time, desired, account, phase, company, reported] [performance, selection, learning, existing, selected, machine, variance]

On the Sample Complexity of Robust PCA

Matthew Coudron, Gilad Lerman

Matthew Coudron, Gilad Lerman

[theorem, complexity, probability, proof, assume, version, lemma, term, empirical, measure, note, result, extended, order, energy, set, radius, denote, algorithm, main, series, combining, supported, mathematical, bound, theory, increasing, reaper, paper] [function, optimal, formulate] [sample, exp, component, will, distribution, compactly, mixture] [recall, bottom, work] [covariance, robust, convergence, inverse, rate, pca, matrix, subspace, generalized, underlying, estimation, norm, zhang, frobenius, high, directional, constant, estimator, estimate, convex, minimizer, recovery, outlier, wiley, size, problem, corresponding, minimization, random, lerman, assumption, close, sparse, simplicity] [explain, suggested, direct, nontrivial] [error, criterion, eigenvectors, small, approximation, ball]

A new metric on the manifold of kernel matrices with application to matrix geometric means

Suvrit Sra

Suvrit Sra

[theorem, set, result, prove, lemma, inequality, studied, implies, consider, case, corollary, statistical, fact, denote, moahker, proof, minimum, paper, main, equality, iff, measure] [function, based, key, showing, stationary, faster, search, noting, proving] [compute, computing, triangle, computational, integral, turn] [local, global, second, vision, computer] [positive, matrix, symmetric, geometric, analysis, unique, diagonal, optimization, solution, multivariate, running, numerous, convex, application, covariance, crucial, theoretical, denoted, iteration, hessian] [negative, time, study, equation] [metric, space, riemannian, spd, point, geometry, algebra, manifold, hilbert, linear, kernel, chebbi, learning, cherian, distance, large, karcher, machine, isometrically, operator, worth, quantum]

Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions

Jaedeug Choi, Kee-Eung Kim

Jaedeug Choi, Kee-Eung Kim

[algorithm, set, assume, probability, order, drawn, note, change] [reward, function, irl, behaviour, trajectory, approach, agent, reinforcement, mario, evd, optimal, policy, average, state, andrew, collecting, killing, birl, move, coin, lane, driving, standard, knowledge, expert, korea, evaluated, executing] [number, bayesian, distribution, cluster, posterior, generated, prior, process, mixture, model, nonparametric, dirichlet, assignment, sample, parameter, infer, assigned, markov, likelihood, normal, conditional] [multiple, single, second, feature, learned, previous, figure, three, local] [inverse, problem, gradient, graphical, denotes, random] [time, speed, left, computed, behavior] [data, learning, clustering, performance, task, distinct, binary, proposed]

Online Sum-Product Computation Over Trees

Mark Herbster, Stephen Pasteris, Fabio Vitale

Mark Herbster, Stephen Pasteris, Fabio Vitale

[cover, vertex, algorithm, height, set, online, subtree, path, subtrees, rooted, respect, observe, notation, marginalization, introduce, covering, case, theorem, ink, dva, consider, setting, exists, exposure, lemma, cached, sequence, denote, bounded, mergeable, call, order, massimiliano, iff, notion] [optimal, atomic, belief, black, recursively, formed] [tree, hierarchical, will, update, construction, component, marginal, marginals, split, compute, propagation, computing, structure, process, number, initialization] [figure, leaf, single, root, previous, three] [decomposition, step, splitting, edge, size, application, graph, method, unique, matrix, interior] [time, boundary, potential, represent, computation, prediction] [linear, learning, data, task, selected, machine]

Sparse Approximate Manifolds for Differential Geometric MCMC

Ben Calderhead, Matyas Sustik

Ben Calderhead, Matyas Sustik

[statistical, consider, algorithm, order, probability, note, equivalent, circadian] [current, approximate, based, stationary, expected, deterministic, standard, employed, approach, state] [mcmc, distribution, sampling, proposal, model, structure, regularisation, parameter, markov, computational, chain, number, analytically, mala, langevin, mmala, sample, likelihood, monte, carlo, will, full, allows, deterministically, diffusion] [target, local, higher] [covariance, inverse, sparse, geometric, convergence, density, method, matrix, estimation, journal, solution, sparsity, graphical, correlation, estimating, min, globally] [adaptive, fisher, time, nonlinear, natural, position, speed] [metric, manifold, riemannian, tensor, geometry, point, tangent, differential, locally, space, approximation, vector, table, inner, challenging, scheme]

Convergence Rate Analysis of MAP Coordinate Minimization Algorithms

Ofer Meshi, Tommi Jaakkola, Amir Globerson

Ofer Meshi, Tommi Jaakkola, Amir Globerson

[algorithm, set, feasible, consider, result, theorem, denote, note, proof, fact, upper, choose, subset, energy, lemma, case, bound, analyze] [optimal, approach, function, star, max, programming, approximate, choice, belief, focus, cost] [update, will, log, integral, number, marginals, message, inference, exp, typically] [map, simple, work, ieee, local, improvement, figure, directly, compare, correspond, pattern] [primal, dual, coordinate, minimization, block, convergence, greedy, gradient, solution, stochastic, rate, analysis, objective, descent, problem, step, fista, smoothed, optimum, constant, lipschitz, accelerated, method, optimization, guaranteed, smooth, lagrangian, converge, fractional, passing, convex, decomposition] [smoothing] [linear, machine, scheme, better]

"Natural Images, Gaussian Mixtures and Dead Leaves"

Daniel Zoran, Yair Weiss

Daniel Zoran, Yair Weiss

[note, set, comparison, interesting] [add, good, sampled, current, flat, stationary] [model, mixture, component, likelihood, log, structure, gaussian, number, process, modeling, generative, sampling, form, supplementary, sample, will, generated] [dead, gmm, figure, image, patch, mini, gmms, texture, gsm, ica, learned, contrast, capture, denoising, occlusion, trained, simple, side, depicts, compared, compare, variation, mask, outperforms, surprising, vision, computer, unseen, experiment, object, karklin, success, scale] [covariance, edge, pca, scalar, eigenvalue, eigenvector, matrix, random, sparse, corresponding, independent, analysis] [natural, material, neural, visual, presented, coding] [eigenvectors, performance, test, better, fourier, linear, text, small, data, learning]

Dual-Space Analysis of the Sparse Linear Model

David Wipf, Yi Wu

David Wipf, Yi Wu

[case, consider, empirical, theorem, equivalent, term, exactly, minimum, note, relevance] [function, cost, optimal, max, provided, standard] [log, likelihood, will, bayesian, prior, parameter, gaussian, model, computing, update, highly, latent, factor, cluster, alternative] [view, global, local, ieee, figure, source] [type, sparse, min, arg, sparsity, dictionary, estimation, reweighted, problem, concave, solution, solving, estimate, penalty, generalized, nonzero, method, maximally, optimization, clustered, rvm, involves, iterative, general, analysis, convex, minimization, norm, satisfy, solve] [signal, lead, neural, noise, natural, principled] [learning, linear, vector, data, naturally, performance, original, small, address, well, point]

A dynamic excitatory-inhibitory network in a VLSI chip for spiking information reregistration

Juan Huo

Juan Huo

[] [] [] [] [] [] []

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky, Ilya Sutskever, Geoff Hinton

Alex Krizhevsky, Ilya Sutskever, Geoff Hinton

[] [] [] [] [] [] []

Recognizing Activities by Attribute Dynamics

Weixin LI, Nuno Vasconcelos

Weixin LI, Nuno Vasconcelos

[sequence, best, probability, note, measure, set, algorithm, generalization] [action, state, observation, sampled, expected, atomic, based] [modeling, topic, model, log, structure, gaussian, component, latent, distribution, bernoulli, hidden] [attribute, semantic, video, bof, recognition, temporal, score, representation, figure, holistic, human, learned, object, olympic, complex, popular, kds, weizmann, computer, feature, accuracy, ykt, image, occurrence, learn, inspired, performed] [pca, analysis, matrix, subspace, method] [dynamic, activity, time, lds, visual, natural, system, noise, motion, computed, reported] [binary, kernel, learning, performance, similarity, table, space, vector, proposed, dataset, linear, data]

Compressive Sensing MRI with Wavelet Tree Sparsity

Chen Chen, Junzhou Huang

Chen Chen, Junzhou Huang

[algorithm, set, statistical, result, partial, complexity, best] [total, conference, cost, international, based, good, average] [tree, structure, sampling, model, number, log, prior, bayesian] [wavelet, image, snr, ieee, figure, imaging, structured, variation, slep, mri, previous, cpu, magnetic, compare, fcsa, computer, bottom, resonance, medical, recpf, tvcmri] [reconstruction, sparsity, problem, sparse, solve, compressive, convex, method, sensing, amp, general, convergence, arg, solution, solved, compressed, gradient, conducted, subproblems, slow, numerous, scanning, inverse, fista, reconstructed, denotes, iterative, achieves, robust, simpler] [group, signal, time, brain, visual, left, processing] [proposed, real, original, fast, performance, existing, fourier, better, learning]

Bayesian Nonparametric Modeling of Suicide Attempts

Francisco Ruiz, Isabel Valera, Carlos Blanco, Fernando Perez-Cruz

Francisco Ruiz, Isabel Valera, Carlos Blanco, Fernando Perez-Cruz

[probability, risk, active, question, survey, set, consider, element, order] [observation, black, standard, people, function] [suicide, latent, model, distribution, ibp, attempt, number, gibbs, discrete, hidden, gaussian, log, posterior, znk, prevention, sampler, alcohol, nesarc, process, xnd, allows, prior, inference, university, indian, topic, likelihood, dirichlet, buffet, modeling, laplace, answered, base, nonparametric, nth, american, attempting, sampling, prevalence] [feature, map, improve, medical, figure, pixel, weighting, carlos, applied, madrid] [matrix, denoted, journal, low, propose, iteration, random] [population, processing, white, integrate] [data, table, vector, database, binary, approximation, national, well]

Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions

Alekh Agarwal, Sahand Negahban, Martin Wainwright

Alekh Agarwal, Sahand Negahban, Martin Wainwright

[algorithm, theorem, set, loss, bound, statistical, probability, version, convexity, example, length, setting, sequence, paper, supported, corollary, design, main, subset, logistic, observe, assume, mirror] [optimal, function, initial, approach, focus, expected, choice] [log, form, update, sample, parameter, will] [epoch, work, exploit] [stochastic, convergence, objective, optimization, rate, sparse, gradient, method, regularized, convex, problem, strong, radar, optimum, averaging, dual, constant, sparsity, condition, assumption, min, descent, eda, high, lipschitz, scaling, random, meaning, journal, solution] [natural] [error, learning, regularization, machine, vector, common, large, data, linear]

Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning

Matthew Der, Lawrence Saul

Matthew Der, Lawrence Saul

[class, set, algorithm, example, note, label, comparison, length, denote] [approach, explore, simplest, conference, international] [latent, model, posterior, gaussian, variable, distribution, factor, parameter, observed, mixture, inference, update, likelihood, bayesian, compute, maximum, prior, lda, odds] [training, learn, target, simple, transformation, scale, level, figure, larger, train, compare] [pca, analysis, high, multivariate, dimensional, matrix] [computed, noise, principal, rule] [lca, labeled, data, metric, learning, distance, linear, dimensionality, knn, error, coincidence, test, space, lmnn, bbc, mnist, isolet, variance, neighbor, table, machine, large, projected, closer, reduction, binary, similarity, nearest, multiway]

Hierarchical Optimistic Region Selection driven by Curiosity

Odalric-Ambrym Maillard

Odalric-Ambrym Maillard

[def, algorithm, order, regret, allocation, consider, case, term, optimistic, bound, setting, loss, oudeyer, notion, main, carpentier, assume, active, provide, curiosity, baranes, introduce, theorem, bubeck, antos, proof, paper, probability, upper, arm, interesting, choose, result, note, quantity, trivial, exists, spirit] [max, unknown, continuous, function, reinforcement, assumed, goal, optimal, standard, future, state, argmax] [partition, sample, sampling, hierarchical, node, tree, process, split] [region, driven, corresponds, leaf, work] [problem, assumption, estimation, analysis, objective, lipschitz, min, step, constant, positive, corresponding] [cell, time, difference, autonomous, intrinsic] [learning, space, variance, performance, metric, dimension, selection, error, well, point, select, challenging, better, binary]

Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods

John Duchi, Michael Jordan, Martin Wainwright, Andre Wibisono

John Duchi, Michael Jordan, Martin Wainwright, Andre Wibisono

[lower, mirror, minimax, set, online, theorem, respect, bound, algorithm, corollary, bandit, lemma, proof, quantity, attained, radius, universal, sequence, appendix, choose, exists, denote, implies, assume, uniform, sharp] [function, based, optimal, additional, choice, introduction, continuous, expectation] [log, distribution, parameter, full, separation, sample, factor] [apply, accuracy, work, second] [convergence, optimization, gradient, stochastic, convex, random, descent, assumption, norm, rate, constant, method, proposition, analysis, estimator, agarwal, proximal, problem, subgradient, achieve, lipschitz, objective, nesterov, dependence] [study] [learning, vector, selection, dimension, small, unbiased, machine