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.)
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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, logarithmic, better, error, annual]
Trajectory-Based Short-Sighted Probabilistic Planning
Felipe Trevizan, Manuela Veloso
Felipe Trevizan, Manuela Veloso
[probability, set, path, algorithm, sequence, consider, applicable, asymptotically, theorem, example] [ssipp, state, planning, ssp, goal, policy, optimal, uncertainty, ssps, search, action, planner, tireworld, manage, international, based, uct, initial, car, bellman, heuristic, conference, reached, approach, cost, tire, reach, trajectory, execution, admissible, shortest, spare, reachable, reaching, mdpsim, terminates, ptimal, round, pmax, reachability, scheduling, move, olver, determinization, intelligence] [probabilistic, triangle, number, maximum] [figure, location, experiment, applying, allowed] [problem, solution, size, stochastic, closed, assumption, iteration, solves, solving] [dynamic, time, represents] [space, original, performance, learning, machine, performs]
Sparse Prediction with the $k$-Support Norm
Andreas Argyriou, Rina Foygel, Nathan Srebro
Andreas Argyriou, Rina Foygel, Nathan Srebro
[set, complexity, equivalent, algorithm, inequality, class, loss, bound, consider, proof, statistical, series] [max, tighter, optimal, function, good, standard] [sample, log, factor, parameter, number, newsgroups] [accuracy, figure, corresponds, expect, work] [norm, elastic, net, convex, sparse, relaxation, lasso, sparsity, solution, cardinality, tightest, dual, journal, proximal, method, mse, matrix, gradient, penalty, min, proposition, gauge, corresponding, optimization, shrinkage, require] [unit, prediction, computation, group, correlated, difference, outer, neural] [data, learning, regularization, regression, vector,