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Advances in Neural Information Processing Systems 26(NIPS 2013)

The papers below appear in Advances in Neural Information Processing Systems 26 editedby C.J.C. Burges (/author/christopher­j­c­burges­780) and L. Bottou (/author/leon­bottou­475) and M. Welling (/author/max­welling­2187) and Z. Ghahramani (/author/zoubin­ghahramani­1020) and K.Q. Weinberger (/author/kilian­q­weinberger­2966).They are proceedings from the conference, "Neural Information Processing Systems 2013."

The Randomized Dependence Coefficient (/paper/5138­the­randomized­dependence­coefficient) David Lopez­Paz (/author/david­lopez­paz­6694), Philipp Hennig(/author/philipp­hennig­5163), Bernhard Schölkopf (/author/bernhard­scholkopf­1472)Documents as multiple overlapping windows into grids of counts (/paper/5140­documents­as­multiple­overlapping­windows­into­grids­of­counts) Alessandro Perina(/author/alessandro­perina­4423), Nebojsa Jojic (/author/nebojsa­jojic­1935), ManueleBicego (/author/manuele­bicego­6695), Andrzej Truski (/author/andrzej­truski­6696)Reciprocally Coupled Local Estimators Implement Bayesian Information IntegrationDistributively (/paper/5055­reciprocally­coupled­local­estimators­implement­bayesian­information­integration­distributively) Wenhao Zhang (/author/wenhao­zhang­6573), SiWu (/author/si­wu­1954)Latent Maximum Margin Clustering (/paper/5078­latent­maximum­margin­clustering)Guang­Tong Zhou (/author/guang­tong­zhou­6603), Tian Lan (/author/tian­lan­4839),Arash Vahdat (/author/arash­vahdat­5369), Greg Mori (/author/greg­mori­4070)Data­driven Distributionally Robust Polynomial Optimization (/paper/4943­data­driven­distributionally­robust­polynomial­optimization) Martin Mevissen (/author/martin­mevissen­6395), Emanuele Ragnoli (/author/emanuele­ragnoli­6396), Jia Yuan Yu(/author/jia­yuan­yu­6397)Transfer Learning in a Transductive Setting (/paper/5209­transfer­learning­in­a­

β

transductive­setting) Marcus Rohrbach (/author/marcus­rohrbach­6796), Sandra Ebert(/author/sandra­ebert­6797), Bernt Schiele (/author/bernt­schiele­6798)Bayesian optimization explains human active search (/paper/4952­bayesian­optimization­explains­human­active­search) Ali Borji (/author/ali­borji­6416), Laurent Itti(/author/laurent­itti­1697)Provable Subspace Clustering: When LRR meets SSC (/paper/4865­provable­subspace­clustering­when­lrr­meets­ssc) Yu­Xiang Wang (/author/yu­xiang­wang­6279), Huan Xu (/author/huan­xu­3387), Chenlei Leng (/author/chenlei­leng­5236)Generalized Random Utility Models with Multiple Types (/paper/4998­generalized­random­utility­models­with­multiple­types) Hossein Azari Soufiani (/author/hossein­azari­soufiani­6480), Hansheng Diao (/author/hansheng­diao­6482), Zhenyu Lai(/author/zhenyu­lai­6483), David C. Parkes (/author/david­c­parkes­2630)Polar Operators for Structured Sparse Estimation (/paper/4935­polar­operators­for­structured­sparse­estimation) Xinhua Zhang (/author/xinhua­zhang­3378), Yao­LiangYu (/author/yao­liang­yu­6276), Dale Schuurmans (/author/dale­schuurmans­1904)On Decomposing the Proximal Map (/paper/4863­on­decomposing­the­proximal­map)Yao­Liang Yu (/author/yao­liang­yu­6276)Point Based Value Iteration with Optimal Belief Compression for Dec­POMDPs(/paper/5144­point­based­value­iteration­with­optimal­belief­compression­for­dec­pomdps) Liam C. MacDermed (/author/liam­c­macdermed­6699), Charles Isbell(/author/charles­isbell­6700)PAC­Bayes­Empirical­Bernstein Inequality (/paper/4903­pac­bayes­empirical­bernstein­inequality) Ilya O. Tolstikhin (/author/ilya­o­tolstikhin­6339), Yevgeny Seldin(/author/yevgeny­seldin­3401)Modeling Clutter Perception using Parametric Proto­object Partitioning (/paper/5201­modeling­clutter­perception­using­parametric­proto­object­partitioning) Chen­Ping Yu(/author/chen­ping­yu­6781), Wen­Yu Hua (/author/wen­yu­hua­6782), DimitrisSamaras (/author/dimitris­samaras­3108), Greg Zelinsky (/author/greg­zelinsky­6783)Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching(/paper/4925­robust­multimodal­graph­matching­sparse­coding­meets­graph­matching)Marcelo Fiori (/author/marcelo­fiori­5521), Pablo Sprechmann (/author/pablo­sprechmann­6374), Joshua Vogelstein (/author/joshua­vogelstein­4067), Pablo Muse(/author/pablo­muse­6375), Guillermo Sapiro (/author/guillermo­sapiro­3341)Transportability from Multiple Environments with Limited Experiments (/paper/5062­transportability­from­multiple­environments­with­limited­experiments) Elias Bareinboim(/author/elias­bareinboim­6583), Sanghack Lee (/author/sanghack­lee­6584), Vasant

Honavar (/author/vasant­honavar­6585), Judea Pearl (/author/judea­pearl­6333)More data speeds up training time in learning halfspaces over sparse vectors(/paper/4905­more­data­speeds­up­training­time­in­learning­halfspaces­over­sparse­vectors) Amit Daniely (/author/amit­daniely­5473), Nati Linial (/author/nati­linial­6341),Shai Shalev­Shwartz (/author/shai­shalev­shwartz­6342)Causal Inference on Time Series using Restricted Structural Equation Models(/paper/5063­causal­inference­on­time­series­using­restricted­structural­equation­models) Jonas Peters (/author/jonas­peters­6586), Dominik Janzing (/author/dominik­janzing­4035), Bernhard Schölkopf (/author/bernhard­scholkopf­1472)Deep Fisher Networks for Large­Scale Image Classification (/paper/4926­deep­fisher­networks­for­large­scale­image­classification) Karen Simonyan (/author/karen­simonyan­6376), Andrea Vedaldi (/author/andrea­vedaldi­3408), Andrew Zisserman(/author/andrew­zisserman­2581)Sparse Additive Text Models with Low Rank Background (/paper/5139­sparse­additive­text­models­with­low­rank­background) Lei Shi (/author/lei­shi­4361)Variance Reduction for Stochastic Gradient Optimization (/paper/5034­variance­reduction­for­stochastic­gradient­optimization) Chong Wang (/author/chong­wang­4201), Xi Chen (/author/xi­chen­4483), Alex J. Smola (/author/alex­j­smola­6548), EricP. Xing (/author/eric­p­xing­6314)Training and Analysing Deep Recurrent Neural Networks (/paper/5166­training­and­analysing­deep­recurrent­neural­networks) Michiel Hermans (/author/michiel­hermans­6732), Benjamin Schrauwen (/author/benjamin­schrauwen­4025)A simple example of Dirichlet process mixture inconsistency for the number ofcomponents (/paper/4880­a­simple­example­of­dirichlet­process­mixture­inconsistency­for­the­number­of­components) Jeffrey W. Miller (/author/jeffrey­w­miller­6303), Matthew T. Harrison (/author/matthew­t­harrison­6304)Variational Policy Search via Trajectory Optimization (/paper/5178­variational­policy­search­via­trajectory­optimization) Sergey Levine (/author/sergey­levine­4516), VladlenKoltun (/author/vladlen­koltun­4518)Scalable kernels for graphs with continuous attributes (/paper/5155­scalable­kernels­for­graphs­with­continuous­attributes) Aasa Feragen (/author/aasa­feragen­6709),Niklas Kasenburg (/author/niklas­kasenburg­6710), Jens Petersen (/author/jens­petersen­6711), Marleen de Bruijne (/author/marleen­de­bruijne­6712), KarstenBorgwardt (/author/karsten­borgwardt­6624)Density estimation from unweighted k­nearest neighbor graphs: a roadmap(/paper/5112­density­estimation­from­unweighted­k­nearest­neighbor­graphs­a­

roadmap) Ulrike Von Luxburg (/author/ulrike­von­luxburg­6659), Morteza Alamgir(/author/morteza­alamgir­4868)Decision Jungles: Compact and Rich Models for Classification (/paper/5199­decision­jungles­compact­and­rich­models­for­classification) Jamie Shotton (/author/jamie­shotton­6776), Toby Sharp (/author/toby­sharp­6777), Pushmeet Kohli(/author/pushmeet­kohli­4400), Sebastian Nowozin (/author/sebastian­nowozin­5155),John Winn (/author/john­winn­2338), Antonio Criminisi (/author/antonio­criminisi­5467)What Are the Invariant Occlusive Components of Image Patches? A ProbabilisticGenerative Approach (/paper/5195­what­are­the­invariant­occlusive­components­of­image­patches­a­probabilistic­generative­approach) Zhenwen Dai (/author/zhenwen­dai­6771), Georgios Exarchakis (/author/georgios­exarchakis­6772), Jörg Lücke(/author/jorg­lucke­4247)Actor­Critic Algorithms for Risk­Sensitive MDPs (/paper/4917­actor­critic­algorithms­for­risk­sensitive­mdps) Prashanth L.A. (/author/prashanth­la­6356), MohammadGhavamzadeh (/author/mohammad­ghavamzadeh­3309)Summary Statistics for Partitionings and Feature Allocations (/paper/5093­summary­statistics­for­partitionings­and­feature­allocations) Isik B. Fidaner (/author/isik­b­fidaner­6629), Taylan Cemgil (/author/taylan­cemgil­6630)One­shot learning and big data with n=2 (/paper/5137­one­shot­learning­and­big­data­with­n2) Lee H. Dicker (/author/lee­h­dicker­6693), Dean P. Foster (/author/dean­p­foster­4879)Variational Inference for Mahalanobis Distance Metrics in Gaussian ProcessRegression (/paper/5088­variational­inference­for­mahalanobis­distance­metrics­in­gaussian­process­regression) Michalis Titsias (/author/michalis­titsias­6621), MiguelLazaro­Gredilla (/author/miguel­lazaro­gredilla­6622)Correlations strike back (again): the case of associative memory retrieval (/paper/4871­correlations­strike­back­again­the­case­of­associative­memory­retrieval) Cristina Savin(/author/cristina­savin­5085), Peter Dayan (/author/peter­dayan­632), Mate Lengyel(/author/mate­lengyel­6286)Optimal Neural Population Codes for High­dimensional Stimulus Variables(/paper/4994­optimal­neural­population­codes­for­high­dimensional­stimulus­variables)Zhuo Wang (/author/zhuo­wang­6476), Alan Stocker (/author/alan­stocker­1786),Daniel Lee (/author/daniel­lee­6477)Online Variational Approximations to non­Exponential Family Change Point Models:With Application to Radar Tracking (/paper/5124­online­variational­approximations­to­non­exponential­family­change­point­models­with­application­to­radar­tracking) Ryan

D. Turner (/author/ryan­d­turner­6678), Steven Bottone (/author/steven­bottone­6679),Clay J. Stanek (/author/clay­j­stanek­6680)Accelerating Stochastic Gradient Descent using Predictive Variance Reduction(/paper/4937­accelerating­stochastic­gradient­descent­using­predictive­variance­reduction) Rie Johnson (/author/rie­johnson­6392), Tong Zhang (/author/tong­zhang­1901)Using multiple samples to learn mixture models (/paper/4915­using­multiple­samples­to­learn­mixture­models) Jason D. Lee (/author/jason­d­lee­4783), Ran Gilad­Bachrach(/author/ran­gilad­bachrach­6353), Rich Caruana (/author/rich­caruana­1196)Learning Hidden Markov Models from Non­sequence Data via Tensor Decomposition(/paper/5065­learning­hidden­markov­models­from­non­sequence­data­via­tensor­decomposition) Tzu­Kuo Huang (/author/tzu­kuo­huang­6589), Jeff Schneider(/author/jeff­schneider­6415)On model selection consistency of penalized M­estimators: a geometric theory(/paper/5175­on­model­selection­consistency­of­penalized­m­estimators­a­geometric­theory) Jason D. Lee (/author/jason­d­lee­4783), Yuekai Sun (/author/yuekai­sun­5558), Jonathan E. Taylor (/author/jonathan­e­taylor­6740)Dropout Training as Adaptive Regularization (/paper/4882­dropout­training­as­adaptive­regularization) Stefan Wager (/author/stefan­wager­6309), Sida Wang(/author/sida­wang­6310), Percy S. Liang (/author/percy­s­liang­3559)New Subsampling Algorithms for Fast Least Squares Regression (/paper/5105­new­subsampling­algorithms­for­fast­least­squares­regression) Paramveer Dhillon(/author/paramveer­dhillon­4878), Yichao Lu (/author/yichao­lu­6646), Dean P. Foster(/author/dean­p­foster­4879), Lyle Ungar (/author/lyle­ungar­6647)Faster Ridge Regression via the Subsampled Randomized Hadamard Transform(/paper/5106­faster­ridge­regression­via­the­subsampled­randomized­hadamard­transform) Yichao Lu (/author/yichao­lu­6646), Paramveer Dhillon (/author/paramveer­dhillon­4878), Dean P. Foster (/author/dean­p­foster­4879), Lyle Ungar (/author/lyle­ungar­6647)Accelerated Mini­Batch Stochastic Dual Coordinate Ascent (/paper/4938­accelerated­mini­batch­stochastic­dual­coordinate­ascent) Shai Shalev­Shwartz (/author/shai­shalev­shwartz­6342), Tong Zhang (/author/tong­zhang­1901)Improved and Generalized Upper Bounds on the Complexity of Policy Iteration(/paper/4971­improved­and­generalized­upper­bounds­on­the­complexity­of­policy­iteration) Bruno Scherrer (/author/bruno­scherrer­4011)Online Learning of Nonparametric Mixture Models via Sequential Variational

Approximation (/paper/4968­online­learning­of­nonparametric­mixture­models­via­sequential­variational­approximation) Dahua Lin (/author/dahua­lin­4831)Online Robust PCA via Stochastic Optimization (/paper/5131­online­robust­pca­via­stochastic­optimization) Jiashi Feng (/author/jiashi­feng­6686), Huan Xu (/author/huan­xu­3387), Shuicheng Yan (/author/shuicheng­yan­4679)Least Informative Dimensions (/paper/4946­least­informative­dimensions) Fabian Sinz(/author/fabian­sinz­6402), Anna Stockl (/author/anna­stockl­6403), Jan Grewe(/author/jan­grewe­5837), Jan Benda (/author/jan­benda­5838)A Scalable Approach to Probabilistic Latent Space Inference of Large­Scale Networks(/paper/4978­a­scalable­approach­to­probabilistic­latent­space­inference­of­large­scale­networks) Junming Yin (/author/junming­yin­5329), Qirong Ho (/author/qirong­ho­5328), Eric P. Xing (/author/eric­p­xing­6314)Understanding variable importances in forests of randomized trees (/paper/4928­understanding­variable­importances­in­forests­of­randomized­trees) Gilles Louppe(/author/gilles­louppe­6377), Louis Wehenkel (/author/louis­wehenkel­6378), AntonioSutera (/author/antonio­sutera­6379), Pierre Geurts (/author/pierre­geurts­6380)Correlated random features for fast semi­supervised learning (/paper/5000­correlated­random­features­for­fast­semi­supervised­learning) Brian McWilliams (/author/brian­mcwilliams­6486), David Balduzzi (/author/david­balduzzi­5288), Joachim M. Buhmann(/author/joachim­m­buhmann­6487)Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture(/paper/5094­dynamic­clustering­via­asymptotics­of­the­dependent­dirichlet­process­mixture) Trevor Campbell (/author/trevor­campbell­6631), Miao Liu (/author/miao­liu­6632), Brian Kulis (/author/brian­kulis­3907), Jonathan P. How (/author/jonathan­p­how­6413), Lawrence Carin (/author/lawrence­carin­3001)Better Approximation and Faster Algorithm Using the Proximal Average (/paper/4934­better­approximation­and­faster­algorithm­using­the­proximal­average) Yao­Liang Yu(/author/yao­liang­yu­6276)Rapid Distance­Based Outlier Detection via Sampling (/paper/5127­rapid­distance­based­outlier­detection­via­sampling) Mahito Sugiyama (/author/mahito­sugiyama­6684), Karsten Borgwardt (/author/karsten­borgwardt­6624)Regularized M­estimators with nonconvexity: Statistical and algorithmic theory for localoptima (/paper/4904­regularized­m­estimators­with­nonconvexity­statistical­and­algorithmic­theory­for­local­optima) Po­Ling Loh (/author/po­ling­loh­6340), Martin J.Wainwright (/author/martin­j­wainwright­1952)Non­Linear Domain Adaptation with Boosting (/paper/5200­non­linear­domain­

adaptation­with­boosting) Carlos J. Becker (/author/carlos­j­becker­6778), Christos M.Christoudias (/author/christos­m­christoudias­6779), Pascal Fua (/author/pascal­fua­6780)Mid­level Visual Element Discovery as Discriminative Mode Seeking (/paper/5202­mid­level­visual­element­discovery­as­discriminative­mode­seeking) Carl Doersch(/author/carl­doersch­6784), Abhinav Gupta (/author/abhinav­gupta­4024), Alexei A.Efros (/author/alexei­a­efros­6785)q­OCSVM: A q­Quantile Estimator for High­Dimensional Distributions (/paper/5125­q­ocsvm­a­q­quantile­estimator­for­high­dimensional­distributions) Assaf Glazer(/author/assaf­glazer­5314), Michael Lindenbaum (/author/michael­lindenbaum­5315),Shaul Markovitch (/author/shaul­markovitch­3554)Auditing: Active Learning with Outcome­Dependent Query Costs (/paper/4956­auditing­active­learning­with­outcome­dependent­query­costs) Sivan Sabato(/author/sivan­sabato­4663), Anand D. Sarwate (/author/anand­d­sarwate­6421), NatiSrebro (/author/nati­srebro­5014)A message­passing algorithm for multi­agent trajectory planning (/paper/5016­a­message­passing­algorithm­for­multi­agent­trajectory­planning) Jose Bento(/author/jose­bento­6511), Nate Derbinsky (/author/nate­derbinsky­6512), JavierAlonso­Mora (/author/javier­alonso­mora­6513), Jonathan S. Yedidia (/author/jonathan­s­yedidia­2028)Learning Stochastic Feedforward Neural Networks (/paper/5026­learning­stochastic­feedforward­neural­networks) Yichuan Tang (/author/yichuan­tang­6535), Ruslan R.Salakhutdinov (/author/ruslan­r­salakhutdinov­2816)Inferring neural population dynamics from multiple partial recordings of the sameneural circuit (/paper/4874­inferring­neural­population­dynamics­from­multiple­partial­recordings­of­the­same­neural­circuit) Srini Turaga (/author/srini­turaga­6289), LarsBuesing (/author/lars­buesing­3516), Adam M. Packer (/author/adam­m­packer­6290),Henry Dalgleish (/author/henry­dalgleish­6291), Noah Pettit (/author/noah­pettit­6292),Michael Hausser (/author/michael­hausser­6293), Jakob Macke (/author/jakob­macke­6294)Multi­Prediction Deep Boltzmann Machines (/paper/5024­multi­prediction­deep­boltzmann­machines) Ian Goodfellow (/author/ian­goodfellow­4369), Mehdi Mirza(/author/mehdi­mirza­6529), Aaron Courville (/author/aaron­courville­6530), YoshuaBengio (/author/yoshua­bengio­178)Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation(/paper/5198­higher­order­priors­for­joint­intrinsic­image­objects­and­attributes­

estimation) Vibhav Vineet (/author/vibhav­vineet­6775), Carsten Rother(/author/carsten­rother­3388), Philip Torr (/author/philip­torr­3805)Blind Calibration in Compressed Sensing using Message Passing Algorithms(/paper/4947­blind­calibration­in­compressed­sensing­using­message­passing­algorithms) Christophe Schulke (/author/christophe­schulke­6404), FrancescoCaltagirone (/author/francesco­caltagirone­6405), Florent Krzakala (/author/florent­krzakala­6406), Lenka Zdeborova (/author/lenka­zdeborova­6407)Learning Trajectory Preferences for Manipulators via Iterative Improvement(/paper/5179­learning­trajectory­preferences­for­manipulators­via­iterative­improvement) Ashesh Jain (/author/ashesh­jain­6746), Brian Wojcik (/author/brian­wojcik­6747), Thorsten Joachims (/author/thorsten­joachims­2559), Ashutosh Saxena(/author/ashutosh­saxena­3221)Large Scale Distributed Sparse Precision Estimation (/paper/5037­large­scale­distributed­sparse­precision­estimation) Huahua Wang (/author/huahua­wang­5338),Arindam Banerjee (/author/arindam­banerjee­5303), Cho­Jui Hsieh (/author/cho­jui­hsieh­6366), Pradeep K. Ravikumar (/author/pradeep­k­ravikumar­6369), Inderjit S.Dhillon (/author/inderjit­s­dhillon­6368)Neural representation of action sequences: how far can a simple snippet­matchingmodel take us? (/paper/5052­neural­representation­of­action­sequences­how­far­can­a­simple­snippet­matching­model­take­us) Cheston Tan (/author/cheston­tan­6568),Jedediah M. Singer (/author/jedediah­m­singer­6569), Thomas Serre (/author/thomas­serre­2272), David Sheinberg (/author/david­sheinberg­6570), Tomaso Poggio(/author/tomaso­poggio­26)On Algorithms for Sparse Multi­factor NMF (/paper/5141­on­algorithms­for­sparse­multi­factor­nmf) Siwei Lyu (/author/siwei­lyu­3377), Xin Wang (/author/xin­wang­1047)Dirty Statistical Models (/paper/5092­dirty­statistical­models) Eunho Yang(/author/eunho­yang­5404), Pradeep K. Ravikumar (/author/pradeep­k­ravikumar­6369)Parallel Sampling of DP Mixture Models using Sub­Cluster Splits (/paper/5162­parallel­sampling­of­dp­mixture­models­using­sub­cluster­splits) Jason Chang (/author/jason­chang­6728), John W. Fisher III (/author/john­w­fisher­iii­1965)Trading Computation for Communication: Distributed Stochastic Dual CoordinateAscent (/paper/5114­trading­computation­for­communication­distributed­stochastic­dual­coordinate­ascent) Tianbao Yang (/author/tianbao­yang­5489)Prior­free and prior­dependent regret bounds for Thompson Sampling (/paper/5108­prior­free­and­prior­dependent­regret­bounds­for­thompson­sampling) Sebastien

Bubeck (/author/sebastien­bubeck­6650), Che­Yu Liu (/author/che­yu­liu­6651)Structured Learning via Logistic Regression (/paper/4870­structured­learning­via­logistic­regression) Justin Domke (/author/justin­domke­4762)Which Space Partitioning Tree to Use for Search? (/paper/5121­which­space­partitioning­tree­to­use­for­search) Parikshit Ram (/author/parikshit­ram­4376),Alexander Gray (/author/alexander­gray­6674)Projecting Ising Model Parameters for Fast Mixing (/paper/4964­projecting­ising­model­parameters­for­fast­mixing) Justin Domke (/author/justin­domke­4762), Xianghang Liu(/author/xianghang­liu­5390)Mixed Optimization for Smooth Functions (/paper/4941­mixed­optimization­for­smooth­functions) Mehrdad Mahdavi (/author/mehrdad­mahdavi­5623), Lijun Zhang(/author/lijun­zhang­6394), Rong Jin (/author/rong­jin­2416)Conditional Random Fields via Univariate Exponential Families (/paper/5154­conditional­random­fields­via­univariate­exponential­families) Eunho Yang(/author/eunho­yang­5404), Pradeep K. Ravikumar (/author/pradeep­k­ravikumar­6369), Genevera I. Allen (/author/genevera­i­allen­6708), Zhandong Liu(/author/zhandong­liu­5406)Stochastic blockmodel approximation of a graphon: Theory and consistent estimation(/paper/5047­stochastic­blockmodel­approximation­of­a­graphon­theory­and­consistent­estimation) Edoardo M. Airoldi (/author/edoardo­m­airoldi­4085), Thiago B.Costa (/author/thiago­b­costa­6564), Stanley H. Chan (/author/stanley­h­chan­6565)Reinforcement Learning in Robust Markov Decision Processes (/paper/5183­reinforcement­learning­in­robust­markov­decision­processes) Shiau Hong Lim(/author/shiau­hong­lim­6753), Huan Xu (/author/huan­xu­3387), Shie Mannor(/author/shie­mannor­2093)On the Linear Convergence of the Proximal Gradient Method for Trace NormRegularization (/paper/4936­on­the­linear­convergence­of­the­proximal­gradient­method­for­trace­norm­regularization) Ke Hou (/author/ke­hou­6388), Zirui Zhou(/author/zirui­zhou­6389), Anthony Man­Cho So (/author/anthony­man­cho­so­6390),Zhi­Quan Luo (/author/zhi­quan­luo­6391)Recurrent networks of coupled Winner­Take­All oscillators for solving constraintsatisfaction problems (/paper/5057­recurrent­networks­of­coupled­winner­take­all­oscillators­for­solving­constraint­satisfaction­problems) Hesham Mostafa(/author/hesham­mostafa­6574), Lorenz. K. Mueller (/author/lorenz­k­mueller­6575),Giacomo Indiveri (/author/giacomo­indiveri­1346)Latent Structured Active Learning (/paper/4953­latent­structured­active­learning)

Wenjie Luo (/author/wenjie­luo­6417), Alex Schwing (/author/alex­schwing­5587),Raquel Urtasun (/author/raquel­urtasun­4509)A Gang of Bandits (/paper/5006­a­gang­of­bandits) Nicolò Cesa­Bianchi(/author/nicolo­cesa­bianchi­6344), Claudio Gentile (/author/claudio­gentile­1834),Giovanni Zappella (/author/giovanni­zappella­5217)Learning Feature Selection Dependencies in Multi­task Learning (/paper/5212­learning­feature­selection­dependencies­in­multi­task­learning) Daniel Hernández­Lobato (/author/daniel­hernandez­lobato­6614), José Miguel Hernández­Lobato(/author/jose­miguel­hernandez­lobato­6612)B­test: A Non­parametric, Low Variance Kernel Two­sample Test (/paper/5081­b­test­a­non­parametric­low­variance­kernel­two­sample­test) Wojciech Zaremba(/author/wojciech­zaremba­6605), Arthur Gretton (/author/arthur­gretton­2650),Matthew Blaschko (/author/matthew­blaschko­4110)Online PCA for Contaminated Data (/paper/5135­online­pca­for­contaminated­data)Jiashi Feng (/author/jiashi­feng­6686), Huan Xu (/author/huan­xu­3387), Shie Mannor(/author/shie­mannor­2093), Shuicheng Yan (/author/shuicheng­yan­4679)Non­strongly­convex smooth stochastic approximation with convergence rate O(1/n)(/paper/4900­non­strongly­convex­smooth­stochastic­approximation­with­convergence­rate­o1n) Francis Bach (/author/francis­bach­6335), Eric Moulines (/author/eric­moulines­4051)Efficient Algorithm for Privately Releasing Smooth Queries (/paper/5011­efficient­algorithm­for­privately­releasing­smooth­queries) Ziteng Wang (/author/ziteng­wang­6503), Kai Fan (/author/kai­fan­6504), Jiaqi Zhang (/author/jiaqi­zhang­6505), LiweiWang (/author/liwei­wang­4410)Beyond Pairwise: Provably Fast Algorithms for Approximate k­Way Similarity Search(/paper/5216­beyond­pairwise­provably­fast­algorithms­for­approximate­k­way­similarity­search) Anshumali Shrivastava (/author/anshumali­shrivastava­5151), Ping Li(/author/ping­li­3294)Unsupervised Spectral Learning of Finite State Transducers (/paper/4862­unsupervised­spectral­learning­of­finite­state­transducers) Raphael Bailly(/author/raphael­bailly­6275), Xavier Carreras (/author/xavier­carreras­2762), AriadnaQuattoni (/author/ariadna­quattoni­2912)Learning a Deep Compact Image Representation for Visual Tracking (/paper/5192­learning­a­deep­compact­image­representation­for­visual­tracking) Naiyan Wang(/author/naiyan­wang­6766), Dit­Yan Yeung (/author/dit­yan­yeung­1323)Learning Multi­level Sparse Representations (/paper/5076­learning­multi­level­sparse­

representations) Ferran Diego Andilla (/author/ferran­diego­andilla­6601), Fred A.Hamprecht (/author/fred­a­hamprecht­5235)Robust Data­Driven Dynamic Programming (/paper/5123­robust­data­driven­dynamic­programming) Grani Adiwena Hanasusanto (/author/grani­adiwena­hanasusanto­6676), Daniel Kuhn (/author/daniel­kuhn­6677)Low­Rank Matrix and Tensor Completion via Adaptive Sampling (/paper/4954­low­rank­matrix­and­tensor­completion­via­adaptive­sampling) Akshay Krishnamurthy(/author/akshay­krishnamurthy­5059), Aarti Singh (/author/aarti­singh­4037)Probabilistic Low­Rank Matrix Completion with Adaptive Spectral RegularizationAlgorithms (/paper/5005­probabilistic­low­rank­matrix­completion­with­adaptive­spectral­regularization­algorithms) Adrien Todeschini (/author/adrien­todeschini­6495),François Caron (/author/francois­caron­6496), Marie Chavent (/author/marie­chavent­6497)Distributed Exploration in Multi­Armed Bandits (/paper/4919­distributed­exploration­in­multi­armed­bandits) Eshcar Hillel (/author/eshcar­hillel­6359), Zohar S. Karnin(/author/zohar­s­karnin­6360), Tomer Koren (/author/tomer­koren­5077), RonnyLempel (/author/ronny­lempel­6361), Oren Somekh (/author/oren­somekh­6362)The Pareto Regret Frontier (/paper/5150­the­pareto­regret­frontier) Wouter M. Koolen(/author/wouter­m­koolen­4876)Direct 0­1 Loss Minimization and Margin Maximization with Boosting (/paper/5214­direct­0­1­loss­minimization­and­margin­maximization­with­boosting) Shaodan Zhai(/author/shaodan­zhai­6801), Tian Xia (/author/tian­xia­6802), Ming Tan (/author/ming­tan­6803), Shaojun Wang (/author/shaojun­wang­3361)Regret based Robust Solutions for Uncertain Markov Decision Processes(/paper/4970­regret­based­robust­solutions­for­uncertain­markov­decision­processes)Asrar Ahmed (/author/asrar­ahmed­6440), Pradeep Varakantham (/author/pradeep­varakantham­6441), Yossiri Adulyasak (/author/yossiri­adulyasak­6442), Patrick Jaillet(/author/patrick­jaillet­6443)Speeding up Permutation Testing in Neuroimaging (/paper/4924­speeding­up­permutation­testing­in­neuroimaging) Chris Hinrichs (/author/chris­hinrichs­4562),Vamsi Ithapu (/author/vamsi­ithapu­6371), Qinyuan Sun (/author/qinyuan­sun­6372),Sterling C. Johnson (/author/sterling­c­johnson­6373), Vikas Singh (/author/vikas­singh­3679)Generalized Denoising Auto­Encoders as Generative Models (/paper/5023­generalized­denoising­auto­encoders­as­generative­models) Yoshua Bengio(/author/yoshua­bengio­178), Li Yao (/author/li­yao­6527), Guillaume Alain

(/author/guillaume­alain­6528), Pascal Vincent (/author/pascal­vincent­2037)Supervised Sparse Analysis and Synthesis Operators (/paper/5002­supervised­sparse­analysis­and­synthesis­operators) Pablo Sprechmann (/author/pablo­sprechmann­6374), Roee Litman (/author/roee­litman­6489), Tal Ben Yakar (/author/tal­ben­yakar­6490), Alexander M. Bronstein (/author/alexander­m­bronstein­6491), Guillermo Sapiro(/author/guillermo­sapiro­3341)Low­rank matrix reconstruction and clustering via approximate message passing(/paper/5074­low­rank­matrix­reconstruction­and­clustering­via­approximate­message­passing) Ryosuke Matsushita (/author/ryosuke­matsushita­6598), Toshiyuki Tanaka(/author/toshiyuki­tanaka­1828)Reasoning With Neural Tensor Networks for Knowledge Base Completion(/paper/5028­reasoning­with­neural­tensor­networks­for­knowledge­base­completion)Richard Socher (/author/richard­socher­4275), Danqi Chen (/author/danqi­chen­6538),Christopher D. Manning (/author/christopher­d­manning­2133), Andrew Ng(/author/andrew­ng­6537)Zero­Shot Learning Through Cross­Modal Transfer (/paper/5027­zero­shot­learning­through­cross­modal­transfer) Richard Socher (/author/richard­socher­4275), MilindGanjoo (/author/milind­ganjoo­6536), Christopher D. Manning (/author/christopher­d­manning­2133), Andrew Ng (/author/andrew­ng­6537)Estimating LASSO Risk and Noise Level (/paper/4948­estimating­lasso­risk­and­noise­level) Mohsen Bayati (/author/mohsen­bayati­4749), Murat A. Erdogdu (/author/murat­a­erdogdu­6408), Andrea Montanari (/author/andrea­montanari­4355)Learning Adaptive Value of Information for Structured Prediction (/paper/5142­learning­adaptive­value­of­information­for­structured­prediction) David J. Weiss (/author/david­j­weiss­6697), Ben Taskar (/author/ben­taskar­2591)Efficient Online Inference for Bayesian Nonparametric Relational Models (/paper/5072­efficient­online­inference­for­bayesian­nonparametric­relational­models) Dae Il Kim(/author/dae­il­kim­6596), Prem K. Gopalan (/author/prem­k­gopalan­5341), David Blei(/author/david­blei­6452), Erik Sudderth (/author/erik­sudderth­6439)Approximate inference in latent Gaussian­Markov models from continuous timeobservations (/paper/4885­approximate­inference­in­latent­gaussian­markov­models­from­continuous­time­observations) Botond Cseke (/author/botond­cseke­4322),Manfred Opper (/author/manfred­opper­709), Guido Sanguinetti (/author/guido­sanguinetti­3455)Linear Convergence with Condition Number Independent Access of Full Gradients(/paper/4940­linear­convergence­with­condition­number­independent­access­of­full­

gradients) Lijun Zhang (/author/lijun­zhang­6394), Mehrdad Mahdavi (/author/mehrdad­mahdavi­5623), Rong Jin (/author/rong­jin­2416)When in Doubt, SWAP: High­Dimensional Sparse Recovery from CorrelatedMeasurements (/paper/5003­when­in­doubt­swap­high­dimensional­sparse­recovery­from­correlated­measurements) Divyanshu Vats (/author/divyanshu­vats­6492),Richard Baraniuk (/author/richard­baraniuk­3552)Wavelets on Graphs via Deep Learning (/paper/5046­wavelets­on­graphs­via­deep­learning) Raif Rustamov (/author/raif­rustamov­6563), Leonidas Guibas(/author/leonidas­guibas­3539)Robust Spatial Filtering with Beta Divergence (/paper/4922­robust­spatial­filtering­with­beta­divergence) Wojciech Samek (/author/wojciech­samek­6364), Duncan Blythe(/author/duncan­blythe­6365), Klaus­Robert Müller (/author/klaus­robert­muller­1282),Motoaki Kawanabe (/author/motoaki­kawanabe­2193)Convex Relaxations for Permutation Problems (/paper/4986­convex­relaxations­for­permutation­problems) Fajwel Fogel (/author/fajwel­fogel­6468), Rodolphe Jenatton(/author/rodolphe­jenatton­4574), Francis Bach (/author/francis­bach­6335), AlexandreD'Aspremont (/author/alexandre­daspremont­6469)High­Dimensional Gaussian Process Bandits (/paper/5152­high­dimensional­gaussian­process­bandits) Josip Djolonga (/author/josip­djolonga­6707), Andreas Krause(/author/andreas­krause­3758), Volkan Cevher (/author/volkan­cevher­3964)A memory frontier for complex synapses (/paper/4872­a­memory­frontier­for­complex­synapses) Subhaneil Lahiri (/author/subhaneil­lahiri­6287), Surya Ganguli(/author/surya­ganguli­4596)Marginals­to­Models Reducibility (/paper/4959­marginals­to­models­reducibility) TimRoughgarden (/author/tim­roughgarden­6426), Michael Kearns (/author/michael­kearns­2449)First­order Decomposition Trees (/paper/5160­first­order­decomposition­trees) NimaTaghipour (/author/nima­taghipour­6721), Jesse Davis (/author/jesse­davis­6722),Hendrik Blockeel (/author/hendrik­blockeel­6723)A Comparative Framework for Preconditioned Lasso Algorithms (/paper/5104­a­comparative­framework­for­preconditioned­lasso­algorithms) Fabian L. Wauthier(/author/fabian­l­wauthier­4617), Nebojsa Jojic (/author/nebojsa­jojic­1935), Michael I.Jordan (/author/michael­i­jordan­6338)Lasso Screening Rules via Dual Polytope Projection (/paper/4892­lasso­screening­rules­via­dual­polytope­projection) Jie Wang (/author/jie­wang­6323), Jiayu Zhou(/author/jiayu­zhou­5003), Peter Wonka (/author/peter­wonka­4639), Jieping Ye

(/author/jieping­ye­2784)Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent(/paper/5161­binary­to­bushy­bayesian­hierarchical­clustering­with­the­beta­coalescent) Yuening Hu (/author/yuening­hu­6724), Jordan L. Boyd­Graber(/author/jordan­l­boyd­graber­6725), Hal Daume III (/author/hal­daume­iii­6726), Z.Irene Ying (/author/z­irene­ying­6727)A Latent Source Model for Nonparametric Time Series Classification (/paper/5116­a­latent­source­model­for­nonparametric­time­series­classification) George H. Chen(/author/george­h­chen­6664), Stanislav Nikolov (/author/stanislav­nikolov­6665),Devavrat Shah (/author/devavrat­shah­3543)Efficient Optimization for Sparse Gaussian Process Regression (/paper/5087­efficient­optimization­for­sparse­gaussian­process­regression) Yanshuai Cao (/author/yanshuai­cao­6618), Marcus A. Brubaker (/author/marcus­a­brubaker­6619), David Fleet(/author/david­fleet­6620), Aaron Hertzmann (/author/aaron­hertzmann­2737)Lexical and Hierarchical Topic Regression (/paper/5163­lexical­and­hierarchical­topic­regression) Viet­An Nguyen (/author/viet­an­nguyen­6729), Jordan L. Boyd­Graber(/author/jordan­l­boyd­graber­6725), Philip Resnik (/author/philip­resnik­6730)Stochastic Convex Optimization with Multiple Objectives (/paper/4942­stochastic­convex­optimization­with­multiple­objectives) Mehrdad Mahdavi (/author/mehrdad­mahdavi­5623), Tianbao Yang (/author/tianbao­yang­5489), Rong Jin (/author/rong­jin­2416)A Kernel Test for Three­Variable Interactions (/paper/4893­a­kernel­test­for­three­variable­interactions) Dino Sejdinovic (/author/dino­sejdinovic­5539), Arthur Gretton(/author/arthur­gretton­2650), Wicher Bergsma (/author/wicher­bergsma­6324)Memoized Online Variational Inference for Dirichlet Process Mixture Models(/paper/4969­memoized­online­variational­inference­for­dirichlet­process­mixture­models) Michael C. Hughes (/author/michael­c­hughes­6438), Erik Sudderth(/author/erik­sudderth­6439)Designed Measurements for Vector Count Data (/paper/5091­designed­measurements­for­vector­count­data) Liming Wang (/author/liming­wang­4081), DavidE. Carlson (/author/david­e­carlson­6582), Miguel Rodrigues (/author/miguel­rodrigues­6626), David Wilcox (/author/david­wilcox­6627), Robert Calderbank (/author/robert­calderbank­6628), Lawrence Carin (/author/lawrence­carin­3001)Robust Transfer Principal Component Analysis with Rank Constraints (/paper/5130­robust­transfer­principal­component­analysis­with­rank­constraints) Yuhong Guo(/author/yuhong­guo­3647)

Online Learning with Switching Costs and Other Adaptive Adversaries (/paper/5151­online­learning­with­switching­costs­and­other­adaptive­adversaries) Nicolò Cesa­Bianchi (/author/nicolo­cesa­bianchi­6344), Ofer Dekel (/author/ofer­dekel­2467), OhadShamir (/author/ohad­shamir­3602)Learning Prices for Repeated Auctions with Strategic Buyers (/paper/5010­learning­prices­for­repeated­auctions­with­strategic­buyers) Kareem Amin (/author/kareem­amin­6502), Afshin Rostamizadeh (/author/afshin­rostamizadeh­3619), Umar Syed(/author/umar­syed­3694)Probabilistic Principal Geodesic Analysis (/paper/5133­probabilistic­principal­geodesic­analysis) Miaomiao Zhang (/author/miaomiao­zhang­6688), P.T. Fletcher (/author/pt­fletcher­6689)Confidence Intervals and Hypothesis Testing for High­Dimensional Statistical Models(/paper/4931­confidence­intervals­and­hypothesis­testing­for­high­dimensional­statistical­models) Adel Javanmard (/author/adel­javanmard­5474), Andrea Montanari(/author/andrea­montanari­4355)Learning with Noisy Labels (/paper/5073­learning­with­noisy­labels) NagarajanNatarajan (/author/nagarajan­natarajan­6597), Inderjit S. Dhillon (/author/inderjit­s­dhillon­6368), Pradeep K. Ravikumar (/author/pradeep­k­ravikumar­6369), AmbujTewari (/author/ambuj­tewari­3304)Tracking Time­varying Graphical Structure (/paper/5172­tracking­time­varying­graphical­structure) Erich Kummerfeld (/author/erich­kummerfeld­6738), David Danks(/author/david­danks­2318)Factorized Asymptotic Bayesian Inference for Latent Feature Models (/paper/5171­factorized­asymptotic­bayesian­inference­for­latent­feature­models) Kohei Hayashi(/author/kohei­hayashi­5201), Ryohei Fujimaki (/author/ryohei­fujimaki­6737)More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server(/paper/4894­more­effective­distributed­ml­via­a­stale­synchronous­parallel­parameter­server) Qirong Ho (/author/qirong­ho­5328), James Cipar (/author/james­cipar­6325),Henggang Cui (/author/henggang­cui­6326), Seunghak Lee (/author/seunghak­lee­4669), Jin Kyu Kim (/author/jin­kyu­kim­6327), Phillip B. Gibbons (/author/phillip­b­gibbons­6328), Garth A. Gibson (/author/garth­a­gibson­6329), Greg Ganger(/author/greg­ganger­6330), Eric P. Xing (/author/eric­p­xing­6314)Bayesian Estimation of Latently­grouped Parameters in Undirected Graphical Models(/paper/4961­bayesian­estimation­of­latently­grouped­parameters­in­undirected­graphical­models) Jie Liu (/author/jie­liu­6432), David Page (/author/david­page­5260)Online Learning with Costly Features and Labels (/paper/5149­online­learning­with­

costly­features­and­labels) Navid Zolghadr (/author/navid­zolghadr­6705), GaborBartok (/author/gabor­bartok­6706), Russell Greiner (/author/russell­greiner­3363),András György (/author/andras­gyorgy­4684), Csaba Szepesvari (/author/csaba­szepesvari­6449)Sparse nonnegative deconvolution for compressive calcium imaging: algorithms andphase transitions (/paper/4996­sparse­nonnegative­deconvolution­for­compressive­calcium­imaging­algorithms­and­phase­transitions) Eftychios A. Pnevmatikakis(/author/eftychios­a­pnevmatikakis­6479), Liam Paninski (/author/liam­paninski­2391)A Novel Two­Step Method for Cross Language Representation Learning (/paper/5164­a­novel­two­step­method­for­cross­language­representation­learning) Min Xiao(/author/min­xiao­6731), Yuhong Guo (/author/yuhong­guo­3647)On Sampling from the Gibbs Distribution with Random Maximum A­PosterioriPerturbations (/paper/4962­on­sampling­from­the­gibbs­distribution­with­random­maximum­a­posteriori­perturbations) Tamir Hazan (/author/tamir­hazan­2977),Subhransu Maji (/author/subhransu­maji­6433), Tommi Jaakkola (/author/tommi­jaakkola­1019)Graphical Models for Inference with Missing Data (/paper/4899­graphical­models­for­inference­with­missing­data) Karthika Mohan (/author/karthika­mohan­6332), JudeaPearl (/author/judea­pearl­6333), Jin Tian (/author/jin­tian­6334)Reshaping Visual Datasets for Domain Adaptation (/paper/5210­reshaping­visual­datasets­for­domain­adaptation) Boqing Gong (/author/boqing­gong­6799), KristenGrauman (/author/kristen­grauman­3364), Fei Sha (/author/fei­sha­2468)Statistical Active Learning Algorithms (/paper/5101­statistical­active­learning­algorithms) Maria­Florina F. Balcan (/author/maria­florina­f­balcan­6635), VitalyFeldman (/author/vitaly­feldman­6643)Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits(/paper/4890­bayesian­inference­and­online­experimental­design­for­mapping­neural­microcircuits) Ben Shababo (/author/ben­shababo­6317), Brooks Paige(/author/brooks­paige­6318), Ari Pakman (/author/ari­pakman­6319), Liam Paninski(/author/liam­paninski­2391)Reflection methods for user­friendly submodular optimization (/paper/4988­reflection­methods­for­user­friendly­submodular­optimization) Stefanie Jegelka (/author/stefanie­jegelka­3773), Francis Bach (/author/francis­bach­6335), Suvrit Sra (/author/suvrit­sra­2850)Unsupervised Structure Learning of Stochastic And­Or Grammars (/paper/5126­unsupervised­structure­learning­of­stochastic­and­or­grammars) Kewei Tu

(/author/kewei­tu­6681), Maria Pavlovskaia (/author/maria­pavlovskaia­6682), Song­Chun Zhu (/author/song­chun­zhu­6683)Convex Tensor Decomposition via Structured Schatten Norm Regularization(/paper/4985­convex­tensor­decomposition­via­structured­schatten­norm­regularization) Ryota Tomioka (/author/ryota­tomioka­3472), Taiji Suzuki (/author/taiji­suzuki­4892)Stochastic Ratio Matching of RBMs for Sparse High­Dimensional Inputs (/paper/5022­stochastic­ratio­matching­of­rbms­for­sparse­high­dimensional­inputs) Yann Dauphin(/author/yann­dauphin­6526), Yoshua Bengio (/author/yoshua­bengio­178)Learning Chordal Markov Networks by Constraint Satisfaction (/paper/4960­learning­chordal­markov­networks­by­constraint­satisfaction) Jukka Corander (/author/jukka­corander­6427), Tomi Janhunen (/author/tomi­janhunen­6428), Jussi Rintanen(/author/jussi­rintanen­6429), Henrik Nyman (/author/henrik­nyman­6430), JohanPensar (/author/johan­pensar­6431)Parametric Task Learning (/paper/5213­parametric­task­learning) Ichiro Takeuchi(/author/ichiro­takeuchi­4389), Tatsuya Hongo (/author/tatsuya­hongo­6800), MasashiSugiyama (/author/masashi­sugiyama­1885), Shinichi Nakajima (/author/shinichi­nakajima­3627)A Deep Architecture for Matching Short Texts (/paper/5019­a­deep­architecture­for­matching­short­texts) Zhengdong Lu (/author/zhengdong­lu­2871), Hang Li(/author/hang­li­801)Computing the Stationary Distribution Locally (/paper/5009­computing­the­stationary­distribution­locally) Christina E. Lee (/author/christina­e­lee­6500), Asuman Ozdaglar(/author/asuman­ozdaglar­6501), Devavrat Shah (/author/devavrat­shah­3543)Nonparametric Multi­group Membership Model for Dynamic Networks (/paper/5049­nonparametric­multi­group­membership­model­for­dynamic­networks) Myunghwan Kim(/author/myunghwan­kim­6566), Jure Leskovec (/author/jure­leskovec­4767)Adaptive Step­Size for Policy Gradient Methods (/paper/5186­adaptive­step­size­for­policy­gradient­methods) Matteo Pirotta (/author/matteo­pirotta­6757), Marcello Restelli(/author/marcello­restelli­3736), Luca Bascetta (/author/luca­bascetta­6758)Optimistic Concurrency Control for Distributed Unsupervised Learning (/paper/5038­optimistic­concurrency­control­for­distributed­unsupervised­learning) Xinghao Pan(/author/xinghao­pan­6551), Joseph E. Gonzalez (/author/joseph­e­gonzalez­6552),Stefanie Jegelka (/author/stefanie­jegelka­3773), Tamara Broderick (/author/tamara­broderick­6457), Michael I. Jordan (/author/michael­i­jordan­6338)Reservoir Boosting : Between Online and Offline Ensemble Learning (/paper/5215­

reservoir­boosting­between­online­and­offline­ensemble­learning) Leonidas Lefakis(/author/leonidas­lefakis­4829), François Fleuret (/author/francois­fleuret­6804)Multiclass Total Variation Clustering (/paper/5097­multiclass­total­variation­clustering)Xavier Bresson (/author/xavier­bresson­5535), Thomas Laurent (/author/thomas­laurent­5536), David Uminsky (/author/david­uminsky­5537), James von Brecht(/author/james­von­brecht­6638)Approximate Inference in Continuous Determinantal Processes (/paper/4916­approximate­inference­in­continuous­determinantal­processes) Raja Hafiz Affandi(/author/raja­hafiz­affandi­6354), Emily Fox (/author/emily­fox­6355), Ben Taskar(/author/ben­taskar­2591)Global Solver and Its Efficient Approximation for Variational Bayesian Low­rankSubspace Clustering (/paper/5069­global­solver­and­its­efficient­approximation­for­variational­bayesian­low­rank­subspace­clustering) Shinichi Nakajima (/author/shinichi­nakajima­3627), Akiko Takeda (/author/akiko­takeda­6592), S. Derin Babacan(/author/s­derin­babacan­6593), Masashi Sugiyama (/author/masashi­sugiyama­1885),Ichiro Takeuchi (/author/ichiro­takeuchi­4389)Thompson Sampling for 1­Dimensional Exponential Family Bandits (/paper/5110­thompson­sampling­for­1­dimensional­exponential­family­bandits) Nathaniel Korda(/author/nathaniel­korda­6654), Emilie Kaufmann (/author/emilie­kaufmann­6655),Remi Munos (/author/remi­munos­6446)Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion(/paper/4958­active­learning­for­probabilistic­hypotheses­using­the­maximum­gibbs­error­criterion) Nguyen Viet Cuong (/author/nguyen­viet­cuong­6423), Wee Sun Lee(/author/wee­sun­lee­1559), Nan Ye (/author/nan­ye­4406), Kian Ming A. Chai(/author/kian­ming­a­chai­6424), Hai Leong Chieu (/author/hai­leong­chieu­6425)It is all in the noise: Efficient multi­task Gaussian process inference with structuredresiduals (/paper/5089­it­is­all­in­the­noise­efficient­multi­task­gaussian­process­inference­with­structured­residuals) Barbara Rakitsch (/author/barbara­rakitsch­6623),Christoph Lippert (/author/christoph­lippert­4997), Karsten Borgwardt (/author/karsten­borgwardt­6624), Oliver Stegle (/author/oliver­stegle­4856)Convex Calibrated Surrogates for Low­Rank Loss Matrices with Applications to SubsetRanking Losses (/paper/4906­convex­calibrated­surrogates­for­low­rank­loss­matrices­with­applications­to­subset­ranking­losses) Harish G. Ramaswamy (/author/harish­g­ramaswamy­5280), Shivani Agarwal (/author/shivani­agarwal­2781), Ambuj Tewari(/author/ambuj­tewari­3304)Inverse Density as an Inverse Problem: the Fredholm Equation Approach

(/paper/4897­inverse­density­as­an­inverse­problem­the­fredholm­equation­approach)Qichao Que (/author/qichao­que­6331), Mikhail Belkin (/author/mikhail­belkin­2150)Adaptive Multi­Column Deep Neural Networks with Application to Robust ImageDenoising (/paper/5030­adaptive­multi­column­deep­neural­networks­with­application­to­robust­image­denoising) Forest Agostinelli (/author/forest­agostinelli­6539), MichaelR. Anderson (/author/michael­r­anderson­6540), Honglak Lee (/author/honglak­lee­3292)EDML for Learning Parameters in Directed and Undirected Graphical Models(/paper/4963­edml­for­learning­parameters­in­directed­and­undirected­graphical­models) Khaled S. Refaat (/author/khaled­s­refaat­6434), Arthur Choi (/author/arthur­choi­4344), Adnan Darwiche (/author/adnan­darwiche­2410)Similarity Component Analysis (/paper/5015­similarity­component­analysis) SoravitChangpinyo (/author/soravit­changpinyo­6509), Kuan Liu (/author/kuan­liu­6510), FeiSha (/author/fei­sha­2468)Approximate Bayesian Image Interpretation using Generative Probabilistic GraphicsPrograms (/paper/4881­approximate­bayesian­image­interpretation­using­generative­probabilistic­graphics­programs) Vikash Mansinghka (/author/vikash­mansinghka­6305), Tejas D. Kulkarni (/author/tejas­d­kulkarni­6306), Yura N. Perov (/author/yura­n­perov­6307), Josh Tenenbaum (/author/josh­tenenbaum­6308)Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation(/paper/5013­local­privacy­and­minimax­bounds­sharp­rates­for­probability­estimation)John Duchi (/author/john­duchi­6337), Martin J. Wainwright (/author/martin­j­wainwright­1952), Michael I. Jordan (/author/michael­i­jordan­6338)Firing rate predictions in optimal balanced networks (/paper/5053­firing­rate­predictions­in­optimal­balanced­networks) David G. Barrett (/author/david­g­barrett­6571), Sophie Denève (/author/sophie­deneve­1661), Christian K. Machens(/author/christian­k­machens­2521)Manifold­based Similarity Adaptation for Label Propagation (/paper/5001­manifold­based­similarity­adaptation­for­label­propagation) Masayuki Karasuyama(/author/masayuki­karasuyama­4388), Hiroshi Mamitsuka (/author/hiroshi­mamitsuka­6488)Non­Uniform Camera Shake Removal Using a Spatially­Adaptive Sparse Penalty(/paper/4864­non­uniform­camera­shake­removal­using­a­spatially­adaptive­sparse­penalty) Haichao Zhang (/author/haichao­zhang­6277), David Wipf (/author/david­wipf­6278)Near­Optimal Entrywise Sampling for Data Matrices (/paper/5036­near­optimal­

entrywise­sampling­for­data­matrices) Dimitris Achlioptas (/author/dimitris­achlioptas­2240), Zohar S. Karnin (/author/zohar­s­karnin­6360), Edo Liberty (/author/edo­liberty­6550)Learning to Prune in Metric and Non­Metric Spaces (/paper/5018­learning­to­prune­in­metric­and­non­metric­spaces) Leonid Boytsov (/author/leonid­boytsov­6517),Bilegsaikhan Naidan (/author/bilegsaikhan­naidan­6518)Online learning in episodic Markovian decision processes by relative entropy policysearch (/paper/4974­online­learning­in­episodic­markovian­decision­processes­by­relative­entropy­policy­search) Alexander Zimin (/author/alexander­zimin­6447),Gergely Neu (/author/gergely­neu­4682)Optimistic policy iteration and natural actor­critic: A unifying view and a non­optimalityresult (/paper/5188­optimistic­policy­iteration­and­natural­actor­critic­a­unifying­view­and­a­non­optimality­result) Paul Wagner (/author/paul­wagner­4983)Bayesian Hierarchical Community Discovery (/paper/5048­bayesian­hierarchical­community­discovery) Charles Blundell (/author/charles­blundell­4903), Yee Whye Teh(/author/yee­whye­teh­1925)From Bandits to Experts: A Tale of Domination and Independence (/paper/4908­from­bandits­to­experts­a­tale­of­domination­and­independence) Noga Alon (/author/noga­alon­2976), Nicolò Cesa­Bianchi (/author/nicolo­cesa­bianchi­6344), Claudio Gentile(/author/claudio­gentile­1834), Yishay Mansour (/author/yishay­mansour­1278)Predictive PAC Learning and Process Decompositions (/paper/5102­predictive­pac­learning­and­process­decompositions) Cosma Shalizi (/author/cosma­shalizi­3193),Aryeh Kontorovitch (/author/aryeh­kontorovitch­6644)Pass­efficient unsupervised feature selection (/paper/4933­pass­efficient­unsupervised­feature­selection) Crystal Maung (/author/crystal­maung­6386), HaimSchweitzer (/author/haim­schweitzer­6387)Simultaneous Rectification and Alignment via Robust Recovery of Low­rank Tensors(/paper/5040­simultaneous­rectification­and­alignment­via­robust­recovery­of­low­rank­tensors) Xiaoqin Zhang (/author/xiaoqin­zhang­6555), Di Wang (/author/di­wang­6556),Zhengyuan Zhou (/author/zhengyuan­zhou­6557), Yi Ma (/author/yi­ma­3725)Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte­CarloTree Search (/paper/5111­bayesian­mixture­modelling­and­inference­based­thompson­sampling­in­monte­carlo­tree­search) Aijun Bai (/author/aijun­bai­6656), Feng Wu(/author/feng­wu­6657), Xiaoping Chen (/author/xiaoping­chen­6658)Solving inverse problem of Markov chain with partial observations (/paper/5122­solving­inverse­problem­of­markov­chain­with­partial­observations) Tetsuro Morimura

(/author/tetsuro­morimura­4341), Takayuki Osogami (/author/takayuki­osogami­5496),Tsuyoshi Ide (/author/tsuyoshi­ide­6675)Locally Adaptive Bayesian Multivariate Time Series (/paper/5115­locally­adaptive­bayesian­multivariate­time­series) Daniele Durante (/author/daniele­durante­6662),Bruno Scarpa (/author/bruno­scarpa­6663), David B. Dunson (/author/david­b­dunson­6399)Mapping paradigm ontologies to and from the brain (/paper/5168­mapping­paradigm­ontologies­to­and­from­the­brain) Yannick Schwartz (/author/yannick­schwartz­6733),Bertrand Thirion (/author/bertrand­thirion­4194), Gael Varoquaux (/author/gael­varoquaux­4729)Noise­Enhanced Associative Memories (/paper/4875­noise­enhanced­associative­memories) Amin Karbasi (/author/amin­karbasi­6295), Amir Hesam Salavati(/author/amir­hesam­salavati­6296), Amin Shokrollahi (/author/amin­shokrollahi­6297),Lav R. Varshney (/author/lav­r­varshney­5024)Exact and Stable Recovery of Pairwise Interaction Tensors (/paper/4859­exact­and­stable­recovery­of­pairwise­interaction­tensors) Shouyuan Chen (/author/shouyuan­chen­6271), Michael R. Lyu (/author/michael­r­lyu­6272), Irwin King (/author/irwin­king­3779), Zenglin Xu (/author/zenglin­xu­3777)Bayesian entropy estimation for binary spike train data using parametric priorknowledge (/paper/4873­bayesian­entropy­estimation­for­binary­spike­train­data­using­parametric­prior­knowledge) Evan W. Archer (/author/evan­w­archer­6288), Il M. Park(/author/il­m­park­5164), Jonathan W. Pillow (/author/jonathan­w­pillow­5713)Perfect Associative Learning with Spike­Timing­Dependent Plasticity (/paper/5054­perfect­associative­learning­with­spike­timing­dependent­plasticity) Christian Albers(/author/christian­albers­4515), Maren Westkott (/author/maren­westkott­6572), KlausPawelzik (/author/klaus­pawelzik­734)On Poisson Graphical Models (/paper/5153­on­poisson­graphical­models) Eunho Yang(/author/eunho­yang­5404), Pradeep K. Ravikumar (/author/pradeep­k­ravikumar­6369), Genevera I. Allen (/author/genevera­i­allen­6708), Zhandong Liu(/author/zhandong­liu­5406)Streaming Variational Bayes (/paper/4980­streaming­variational­bayes) TamaraBroderick (/author/tamara­broderick­6457), Nicholas Boyd (/author/nicholas­boyd­6458), Andre Wibisono (/author/andre­wibisono­5309), Ashia C. Wilson (/author/ashia­c­wilson­6459), Michael I. Jordan (/author/michael­i­jordan­6338)Gaussian Process Conditional Copulas with Applications to Financial Time Series(/paper/5084­gaussian­process­conditional­copulas­with­applications­to­financial­time­

series) José Miguel Hernández­Lobato (/author/jose­miguel­hernandez­lobato­6612),James R. Lloyd (/author/james­r­lloyd­6613), Daniel Hernández­Lobato (/author/daniel­hernandez­lobato­6614)Extracting regions of interest from biological images with convolutional sparse blockcoding (/paper/5167­extracting­regions­of­interest­from­biological­images­with­convolutional­sparse­block­coding) Marius Pachitariu (/author/marius­pachitariu­5643),Adam M. Packer (/author/adam­m­packer­6290), Noah Pettit (/author/noah­pettit­6292), Henry Dalgleish (/author/henry­dalgleish­6291), Michael Hausser(/author/michael­hausser­6293), Maneesh Sahani (/author/maneesh­sahani­1670)Approximate Dynamic Programming Finally Performs Well in the Game of Tetris(/paper/5190­approximate­dynamic­programming­finally­performs­well­in­the­game­of­tetris) Victor Gabillon (/author/victor­gabillon­5220), Mohammad Ghavamzadeh(/author/mohammad­ghavamzadeh­3309), Bruno Scherrer (/author/bruno­scherrer­4011)Third­Order Edge Statistics: Contour Continuation, Curvature, and CorticalConnections (/paper/5194­third­order­edge­statistics­contour­continuation­curvature­and­cortical­connections) Matthew Lawlor (/author/matthew­lawlor­6769), Steven W.Zucker (/author/steven­w­zucker­6770)DESPOT: Online POMDP Planning with Regularization (/paper/5189­despot­online­pomdp­planning­with­regularization) Adhiraj Somani (/author/adhiraj­somani­6763),Nan Ye (/author/nan­ye­4406), David Hsu (/author/david­hsu­2091), Wee Sun Lee(/author/wee­sun­lee­1559)Matrix Completion From any Given Set of Observations (/paper/4866­matrix­completion­from­any­given­set­of­observations) Troy Lee (/author/troy­lee­6280), AdiShraibman (/author/adi­shraibman­6281)Regression­tree Tuning in a Streaming Setting (/paper/4898­regression­tree­tuning­in­a­streaming­setting) Samory Kpotufe (/author/samory­kpotufe­4345), FrancescoOrabona (/author/francesco­orabona­4652)Multiscale Dictionary Learning for Estimating Conditional Distributions (/paper/4944­multiscale­dictionary­learning­for­estimating­conditional­distributions) FrancescaPetralia (/author/francesca­petralia­5368), Joshua T. Vogelstein (/author/joshua­t­vogelstein­6398), David B. Dunson (/author/david­b­dunson­6399)Dimension­Free Exponentiated Gradient (/paper/4920­dimension­free­exponentiated­gradient) Francesco Orabona (/author/francesco­orabona­4652)Stochastic Optimization of PCA with Capped MSG (/paper/5033­stochastic­optimization­of­pca­with­capped­msg) Raman Arora (/author/raman­arora­4325), Andy

Cotter (/author/andy­cotter­6547), Nati Srebro (/author/nati­srebro­5014)On Flat versus Hierarchical Classification in Large­Scale Taxonomies (/paper/5082­on­flat­versus­hierarchical­classification­in­large­scale­taxonomies) Rohit Babbar(/author/rohit­babbar­6606), Ioannis Partalas (/author/ioannis­partalas­6607), EricGaussier (/author/eric­gaussier­6608), Massih­Reza Amini (/author/massih­reza­amini­6609)Learning Gaussian Graphical Models with Observed or Latent FVSs (/paper/5158­learning­gaussian­graphical­models­with­observed­or­latent­fvss) Ying Liu(/author/ying­liu­6716), Alan Willsky (/author/alan­willsky­6561)Visual Concept Learning: Combining Machine Vision and Bayesian Generalization onConcept Hierarchies (/paper/5205­visual­concept­learning­combining­machine­vision­and­bayesian­generalization­on­concept­hierarchies) Yangqing Jia (/author/yangqing­jia­4556), Joshua T. Abbott (/author/joshua­t­abbott­4975), Joseph Austerweil(/author/joseph­austerweil­6788), Thomas Griffiths (/author/thomas­griffiths­6789),Trevor Darrell (/author/trevor­darrell­678)Robust Bloom Filters for Large MultiLabel Classification Tasks (/paper/5083­robust­bloom­filters­for­large­multilabel­classification­tasks) Moustapha M. Cisse(/author/moustapha­m­cisse­6610), Nicolas Usunier (/author/nicolas­usunier­3174),Thierry Artières (/author/thierry­artieres­6611), Patrick Gallinari (/author/patrick­gallinari­476)Solving the multi­way matching problem by permutation synchronization (/paper/4987­solving­the­multi­way­matching­problem­by­permutation­synchronization) DeeptiPachauri (/author/deepti­pachauri­5620), Risi Kondor (/author/risi­kondor­3436), VikasSingh (/author/vikas­singh­3679)Generalizing Analytic Shrinkage for Arbitrary Covariance Structures (/paper/4921­generalizing­analytic­shrinkage­for­arbitrary­covariance­structures) Daniel Bartz(/author/daniel­bartz­6363), Klaus­Robert Müller (/author/klaus­robert­muller­1282)Top­Down Regularization of Deep Belief Networks (/paper/5031­top­down­regularization­of­deep­belief­networks) Hanlin Goh (/author/hanlin­goh­6541), NicolasThome (/author/nicolas­thome­6542), Matthieu Cord (/author/matthieu­cord­6543), Joo­Hwee Lim (/author/joo­hwee­lim­6544)Learning Efficient Random Maximum A­Posteriori Predictors with Non­DecomposableLoss Functions (/paper/5066­learning­efficient­random­maximum­a­posteriori­predictors­with­non­decomposable­loss­functions) Tamir Hazan (/author/tamir­hazan­2977), Subhransu Maji (/author/subhransu­maji­6433), Joseph Keshet (/author/joseph­keshet­2387), Tommi Jaakkola (/author/tommi­jaakkola­1019)

Heterogeneous­Neighborhood­based Multi­Task Local Learning Algorithms(/paper/5211­heterogeneous­neighborhood­based­multi­task­local­learning­algorithms)Yu Zhang (/author/yu­zhang­4618)Machine Teaching for Bayesian Learners in the Exponential Family (/paper/5042­machine­teaching­for­bayesian­learners­in­the­exponential­family) Xiaojin Zhu(/author/xiaojin­zhu­2978)Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?(/paper/4889­scoring­workers­in­crowdsourcing­how­many­control­questions­are­enough) Qiang Liu (/author/qiang­liu­5417), Alex T. Ihler (/author/alex­t­ihler­5418),Mark Steyvers (/author/mark­steyvers­2315)Action from Still Image Dataset and Inverse Optimal Control to Learn Task SpecificVisual Scanpaths (/paper/5196­action­from­still­image­dataset­and­inverse­optimal­control­to­learn­task­specific­visual­scanpaths) Stefan Mathe (/author/stefan­mathe­6773), Cristian Sminchisescu (/author/cristian­sminchisescu­3601)A Determinantal Point Process Latent Variable Model for Inhibition in Neural SpikingData (/paper/5051­a­determinantal­point­process­latent­variable­model­for­inhibition­in­neural­spiking­data) Jasper Snoek (/author/jasper­snoek­5274), Richard Zemel(/author/richard­zemel­6522), Ryan P. Adams (/author/ryan­p­adams­3862)Robust Sparse Principal Component Regression under the High Dimensional EllipticalModel (/paper/4869­robust­sparse­principal­component­regression­under­the­high­dimensional­elliptical­model) Fang Han (/author/fang­han­5637), Han Liu (/author/han­liu­3555)Global MAP­Optimality by Shrinking the Combinatorial Search Area with ConvexRelaxation (/paper/5159­global­map­optimality­by­shrinking­the­combinatorial­search­area­with­convex­relaxation) Bogdan Savchynskyy (/author/bogdan­savchynskyy­6717), Jörg Hendrik Kappes (/author/jorg­hendrik­kappes­6718), Paul Swoboda(/author/paul­swoboda­6719), Christoph Schnörr (/author/christoph­schnorr­6720)Near­optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic(/paper/5156­near­optimal­anomaly­detection­in­graphs­using­lovasz­extended­scan­statistic) James L. Sharpnack (/author/james­l­sharpnack­6713), AkshayKrishnamurthy (/author/akshay­krishnamurthy­5059), Aarti Singh (/author/aarti­singh­4037)Demixing odors ­ fast inference in olfaction (/paper/4876­demixing­odors­fast­inference­in­olfaction) Agnieszka Grabska­Barwinska (/author/agnieszka­grabska­barwinska­6298), Jeff Beck (/author/jeff­beck­5318), Alexandre Pouget(/author/alexandre­pouget­739), Peter Latham (/author/peter­latham­6299)

Learning Multiple Models via Regularized Weighting (/paper/5098­learning­multiple­models­via­regularized­weighting) Daniel Vainsencher (/author/daniel­vainsencher­6639), Shie Mannor (/author/shie­mannor­2093), Huan Xu (/author/huan­xu­3387)When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor TuckerDecompositions with Structured Sparsity (/paper/4982­when­are­overcomplete­topic­models­identifiable­uniqueness­of­tensor­tucker­decompositions­with­structured­sparsity) Anima Anandkumar (/author/anima­anandkumar­5282), Daniel J. Hsu(/author/daniel­j­hsu­6464), Majid Janzamin (/author/majid­janzamin­6465), Sham M.Kakade (/author/sham­m­kakade­2572)Distributed k­means and k­median Clustering on General Topologies (/paper/5096­distributed­k­means­and­k­median­clustering­on­general­topologies) Maria­Florina F.Balcan (/author/maria­florina­f­balcan­6635), Steven Ehrlich (/author/steven­ehrlich­6636), Yingyu Liang (/author/yingyu­liang­6637)Multi­Task Bayesian Optimization (/paper/5086­multi­task­bayesian­optimization) KevinSwersky (/author/kevin­swersky­5463), Jasper Snoek (/author/jasper­snoek­5274),Ryan P. Adams (/author/ryan­p­adams­3862)Online Learning of Dynamic Parameters in Social Networks (/paper/4976­online­learning­of­dynamic­parameters­in­social­networks) Shahin Shahrampour(/author/shahin­shahrampour­6450), Sasha Rakhlin (/author/sasha­rakhlin­5428), AliJadbabaie (/author/ali­jadbabaie­6451)A Graphical Transformation for Belief Propagation: Maximum Weight Matchings andOdd­Sized Cycles (/paper/4949­a­graphical­transformation­for­belief­propagation­maximum­weight­matchings­and­odd­sized­cycles) Jinwoo Shin (/author/jinwoo­shin­6409), Andrew E. Gelfand (/author/andrew­e­gelfand­6410), Misha Chertkov(/author/misha­chertkov­6411)Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space(/paper/4895­learning­with­invariance­via­linear­functionals­on­reproducing­kernel­hilbert­space) Xinhua Zhang (/author/xinhua­zhang­3378), Wee Sun Lee (/author/wee­sun­lee­1559), Yee Whye Teh (/author/yee­whye­teh­1925)Approximate Gaussian process inference for the drift function in stochastic differentialequations (/paper/4967­approximate­gaussian­process­inference­for­the­drift­function­in­stochastic­differential­equations) Andreas Ruttor (/author/andreas­ruttor­3037),Philipp Batz (/author/philipp­batz­6437), Manfred Opper (/author/manfred­opper­709)Distributed Submodular Maximization: Identifying Representative Elements in MassiveData (/paper/5039­distributed­submodular­maximization­identifying­representative­elements­in­massive­data) Baharan Mirzasoleiman (/author/baharan­mirzasoleiman­

6553), Amin Karbasi (/author/amin­karbasi­6295), Rik Sarkar (/author/rik­sarkar­6554),Andreas Krause (/author/andreas­krause­3758)Adaptive Market Making via Online Learning (/paper/4910­adaptive­market­making­via­online­learning) Jacob Abernethy (/author/jacob­abernethy­6346), Satyen Kale(/author/satyen­kale­3631)On the Sample Complexity of Subspace Learning (/paper/4945­on­the­sample­complexity­of­subspace­learning) Alessandro Rudi (/author/alessandro­rudi­6400),Guillermo D. Canas (/author/guillermo­d­canas­6401), Lorenzo Rosasco(/author/lorenzo­rosasco­3011)Spike train entropy­rate estimation using hierarchical Dirichlet process priors(/paper/5090­spike­train­entropy­rate­estimation­using­hierarchical­dirichlet­process­priors) Karin C. Knudson (/author/karin­c­knudson­6625), Jonathan W. Pillow(/author/jonathan­w­pillow­5713)Embed and Project: Discrete Sampling with Universal Hashing (/paper/4965­embed­and­project­discrete­sampling­with­universal­hashing) Stefano Ermon (/author/stefano­ermon­5196), Carla P. Gomes (/author/carla­p­gomes­3333), Ashish Sabharwal(/author/ashish­sabharwal­3334), Bart Selman (/author/bart­selman­3335)Discriminative Transfer Learning with Tree­based Priors (/paper/5029­discriminative­transfer­learning­with­tree­based­priors) Nitish Srivastava (/author/nitish­srivastava­5476), Ruslan R. Salakhutdinov (/author/ruslan­r­salakhutdinov­2816)Small­Variance Asymptotics for Hidden Markov Models (/paper/4913­small­variance­asymptotics­for­hidden­markov­models) Anirban Roychowdhury (/author/anirban­roychowdhury­6350), Ke Jiang (/author/ke­jiang­5684), Brian Kulis (/author/brian­kulis­3907)Convergence of Monte Carlo Tree Search in Simultaneous Move Games (/paper/5145­convergence­of­monte­carlo­tree­search­in­simultaneous­move­games) Viliam Lisy(/author/viliam­lisy­6701), Vojta Kovarik (/author/vojta­kovarik­6702), Marc Lanctot(/author/marc­lanctot­4270), Branislav Bosansky (/author/branislav­bosansky­6703)DeViSE: A Deep Visual­Semantic Embedding Model (/paper/5204­devise­a­deep­visual­semantic­embedding­model) Andrea Frome (/author/andrea­frome­3461), GregS. Corrado (/author/greg­s­corrado­6524), Jon Shlens (/author/jon­shlens­6787), SamyBengio (/author/samy­bengio­350), Jeff Dean (/author/jeff­dean­6525), Marc'AurelioRanzato (/author/marcaurelio­ranzato­6534), Tomas Mikolov (/author/tomas­mikolov­6523)Reward Mapping for Transfer in Long­Lived Agents (/paper/5191­reward­mapping­for­transfer­in­long­lived­agents) Xiaoxiao Guo (/author/xiaoxiao­guo­6764), Satinder

Singh (/author/satinder­singh­6765), Richard L. Lewis (/author/richard­l­lewis­4828)Minimax Theory for High­dimensional Gaussian Mixtures with Sparse Mean Separation(/paper/4983­minimax­theory­for­high­dimensional­gaussian­mixtures­with­sparse­mean­separation) Martin Azizyan (/author/martin­azizyan­6466), Aarti Singh(/author/aarti­singh­4037), Larry Wasserman (/author/larry­wasserman­3110)Predicting Parameters in Deep Learning (/paper/5025­predicting­parameters­in­deep­learning) Misha Denil (/author/misha­denil­6531), Babak Shakibi (/author/babak­shakibi­6532), Laurent Dinh (/author/laurent­dinh­6533), Marc'Aurelio Ranzato(/author/marcaurelio­ranzato­6534), Nando de Freitas (/author/nando­de­freitas­2019)Estimating the Unseen: Improved Estimators for Entropy and other Properties(/paper/5170­estimating­the­unseen­improved­estimators­for­entropy­and­other­properties) Paul Valiant (/author/paul­valiant­6735), Gregory Valiant (/author/gregory­valiant­6736)What do row and column marginals reveal about your dataset? (/paper/5118­what­do­row­and­column­marginals­reveal­about­your­dataset) Behzad Golshan(/author/behzad­golshan­6668), John Byers (/author/john­byers­6669), Evimaria Terzi(/author/evimaria­terzi­6670)RNADE: The real­valued neural autoregressive density­estimator (/paper/5060­rnade­the­real­valued­neural­autoregressive­density­estimator) Benigno Uria(/author/benigno­uria­6581), Iain Murray (/author/iain­murray­3050), Hugo Larochelle(/author/hugo­larochelle­3213)Two­Target Algorithms for Infinite­Armed Bandits with Bernoulli Rewards (/paper/5109­two­target­algorithms­for­infinite­armed­bandits­with­bernoulli­rewards) Thomas Bonald(/author/thomas­bonald­6652), Alexandre Proutiere (/author/alexandre­proutiere­6653)Reconciling "priors" & "priors" without prejudice? (/paper/4868­reconciling­priors­priors­without­prejudice) Remi Gribonval (/author/remi­gribonval­6284), Pierre Machart(/author/pierre­machart­6285)Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRIAnalysis (/paper/4891­sparse­overlapping­sets­lasso­for­multitask­learning­and­its­application­to­fmri­analysis) Nikhil Rao (/author/nikhil­rao­6320), Christopher Cox(/author/christopher­cox­6321), Rob Nowak (/author/rob­nowak­6322), Timothy T.Rogers (/author/timothy­t­rogers­4348)Sensor Selection in High­Dimensional Gaussian Trees with Nuisances (/paper/4950­sensor­selection­in­high­dimensional­gaussian­trees­with­nuisances) Daniel S. Levine(/author/daniel­s­levine­6412), Jonathan P. How (/author/jonathan­p­how­6413)Sequential Transfer in Multi­armed Bandit with Finite Set of Models (/paper/5107­

sequential­transfer­in­multi­armed­bandit­with­finite­set­of­models) MohammadGheshlaghi azar (/author/mohammad­gheshlaghi­azar­6648), Alessandro Lazaric(/author/alessandro­lazaric­3735), Emma Brunskill (/author/emma­brunskill­6649)Buy­in­Bulk Active Learning (/paper/4957­buy­in­bulk­active­learning) Liu Yang(/author/liu­yang­3966), Jaime Carbonell (/author/jaime­carbonell­6422)Contrastive Learning Using Spectral Methods (/paper/5007­contrastive­learning­using­spectral­methods) James Y. Zou (/author/james­y­zou­6498), Daniel J. Hsu(/author/daniel­j­hsu­6464), David C. Parkes (/author/david­c­parkes­2630), Ryan P.Adams (/author/ryan­p­adams­3862)Message Passing Inference with Chemical Reaction Networks (/paper/4901­message­passing­inference­with­chemical­reaction­networks) Nils E. Napp (/author/nils­e­napp­6336), Ryan P. Adams (/author/ryan­p­adams­3862)Eluder Dimension and the Sample Complexity of Optimistic Exploration (/paper/4909­eluder­dimension­and­the­sample­complexity­of­optimistic­exploration) Dan Russo(/author/dan­russo­6345), Benjamin Van Roy (/author/benjamin­van­roy­1265)Learning word embeddings efficiently with noise­contrastive estimation (/paper/5165­learning­word­embeddings­efficiently­with­noise­contrastive­estimation) Andriy Mnih(/author/andriy­mnih­2595), Koray Kavukcuoglu (/author/koray­kavukcuoglu­4803)Sparse Inverse Covariance Estimation with Calibration (/paper/5173­sparse­inverse­covariance­estimation­with­calibration) Tuo Zhao (/author/tuo­zhao­5638), Han Liu(/author/han­liu­3555)Stochastic Majorization­Minimization Algorithms for Large­Scale Optimization(/paper/5129­stochastic­majorization­minimization­algorithms­for­large­scale­optimization) Julien Mairal (/author/julien­mairal­3911)Sinkhorn Distances: Lightspeed Computation of Optimal Transport (/paper/4927­sinkhorn­distances­lightspeed­computation­of­optimal­transport) Marco Cuturi(/author/marco­cuturi­2992)Speedup Matrix Completion with Side Information: Application to Multi­Label Learning(/paper/4999­speedup­matrix­completion­with­side­information­application­to­multi­label­learning) Miao Xu (/author/miao­xu­6484), Rong Jin (/author/rong­jin­2416), Zhi­Hua Zhou (/author/zhi­hua­zhou­6485)Compete to Compute (/paper/5059­compete­to­compute) Rupesh K. Srivastava(/author/rupesh­k­srivastava­6577), Jonathan Masci (/author/jonathan­masci­6578),Sohrob Kazerounian (/author/sohrob­kazerounian­6579), Faustino Gomez(/author/faustino­gomez­6580), Jürgen Schmidhuber (/author/jurgen­schmidhuber­583)Fast Determinantal Point Process Sampling with Application to Clustering

(/paper/5008­fast­determinantal­point­process­sampling­with­application­to­clustering)Byungkon Kang (/author/byungkon­kang­6499)Information­theoretic lower bounds for distributed statistical estimation withcommunication constraints (/paper/4902­information­theoretic­lower­bounds­for­distributed­statistical­estimation­with­communication­constraints) Yuchen Zhang(/author/yuchen­zhang­5541), John Duchi (/author/john­duchi­6337), Michael I. Jordan(/author/michael­i­jordan­6338), Martin J. Wainwright (/author/martin­j­wainwright­1952)Projected Natural Actor­Critic (/paper/5184­projected­natural­actor­critic) Philip S.Thomas (/author/philip­s­thomas­5197), William C. Dabney (/author/william­c­dabney­6754), Stephen Giguere (/author/stephen­giguere­6755), Sridhar Mahadevan(/author/sridhar­mahadevan­2032)How to Hedge an Option Against an Adversary: Black­Scholes Pricing is MinimaxOptimal (/paper/4912­how­to­hedge­an­option­against­an­adversary­black­scholes­pricing­is­minimax­optimal) Jacob Abernethy (/author/jacob­abernethy­6346), Peter L.Bartlett (/author/peter­l­bartlett­6348), Rafael Frongillo (/author/rafael­frongillo­6349),Andre Wibisono (/author/andre­wibisono­5309)Discovering Hidden Variables in Noisy­Or Networks using Quartet Tests (/paper/5064­discovering­hidden­variables­in­noisy­or­networks­using­quartet­tests) Yacine Jernite(/author/yacine­jernite­6587), Yonatan Halpern (/author/yonatan­halpern­6588), DavidSontag (/author/david­sontag­3668)Error­Minimizing Estimates and Universal Entry­Wise Error Bounds for Low­RankMatrix Completion (/paper/5119­error­minimizing­estimates­and­universal­entry­wise­error­bounds­for­low­rank­matrix­completion) Franz Kiraly (/author/franz­kiraly­6671),Louis Theran (/author/louis­theran­6672)Learning the Local Statistics of Optical Flow (/paper/5193­learning­the­local­statistics­of­optical­flow) Dan Rosenbaum (/author/dan­rosenbaum­6767), Daniel Zoran(/author/daniel­zoran­6768), Yair Weiss (/author/yair­weiss­1523)Aggregating Optimistic Planning Trees for Solving Markov Decision Processes(/paper/4973­aggregating­optimistic­planning­trees­for­solving­markov­decision­processes) Gunnar Kedenburg (/author/gunnar­kedenburg­6444), Raphael Fonteneau(/author/raphael­fonteneau­6445), Remi Munos (/author/remi­munos­6446)Robust learning of low­dimensional dynamics from large neural ensembles(/paper/4995­robust­learning­of­low­dimensional­dynamics­from­large­neural­ensembles) David Pfau (/author/david­pfau­6478), Eftychios A. Pnevmatikakis(/author/eftychios­a­pnevmatikakis­6479), Liam Paninski (/author/liam­paninski­2391)

Estimation Bias in Multi­Armed Bandit Algorithms for Search Advertising (/paper/5146­estimation­bias­in­multi­armed­bandit­algorithms­for­search­advertising) Min Xu(/author/min­xu­5058), Tao Qin (/author/tao­qin­3844), Tie­Yan Liu (/author/tie­yan­liu­6704)Action is in the Eye of the Beholder: Eye­gaze Driven Model for Spatio­TemporalAction Localization (/paper/5197­action­is­in­the­eye­of­the­beholder­eye­gaze­driven­model­for­spatio­temporal­action­localization) Nataliya Shapovalova (/author/nataliya­shapovalova­6774), Michalis Raptis (/author/michalis­raptis­4771), Leonid Sigal(/author/leonid­sigal­2726), Greg Mori (/author/greg­mori­4070)A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables(/paper/5174­a­lasso­for­learning­a­sparse­bayesian­network­structure­for­continuous­variables) Jing Xiang (/author/jing­xiang­6739), Seyoung Kim (/author/seyoung­kim­3288)The Total Variation on Hypergraphs ­ Learning on Hypergraphs Revisited(/paper/4914­the­total­variation­on­hypergraphs­learning­on­hypergraphs­revisited)Matthias Hein (/author/matthias­hein­2732), Simon Setzer (/author/simon­setzer­4969),Leonardo Jost (/author/leonardo­jost­6351), Syama Sundar Rangapuram(/author/syama­sundar­rangapuram­6352)Submodular Optimization with Submodular Cover and Submodular KnapsackConstraints (/paper/4911­submodular­optimization­with­submodular­cover­and­submodular­knapsack­constraints) Rishabh K. Iyer (/author/rishabh­k­iyer­6347), JeffA. Bilmes (/author/jeff­a­bilmes­2747)Scalable Inference for Logistic­Normal Topic Models (/paper/4981­scalable­inference­for­logistic­normal­topic­models) Jianfei Chen (/author/jianfei­chen­6460), Jun Zhu(/author/jun­zhu­6461), Zi Wang (/author/zi­wang­6462), Xun Zheng (/author/xun­zheng­6463), Bo Zhang (/author/bo­zhang­3841)Spectral methods for neural characterization using generalized quadratic models(/paper/4993­spectral­methods­for­neural­characterization­using­generalized­quadratic­models) Il M. Park (/author/il­m­park­5164), Evan W. Archer (/author/evan­w­archer­6288), Nicholas Priebe (/author/nicholas­priebe­6475), Jonathan W. Pillow(/author/jonathan­w­pillow­5713)Universal models for binary spike patterns using centered Dirichlet processes(/paper/5050­universal­models­for­binary­spike­patterns­using­centered­dirichlet­processes) Il M. Park (/author/il­m­park­5164), Evan W. Archer (/author/evan­w­archer­6288), Kenneth Latimer (/author/kenneth­latimer­6567), Jonathan W. Pillow(/author/jonathan­w­pillow­5713)

Synthesizing Robust Plans under Incomplete Domain Models (/paper/5120­synthesizing­robust­plans­under­incomplete­domain­models) Tuan A. Nguyen(/author/tuan­a­nguyen­6673), Subbarao Kambhampati (/author/subbarao­kambhampati­5641), Minh Do (/author/minh­do­5464)Integrated Non­Factorized Variational Inference (/paper/5068­integrated­non­factorized­variational­inference) Shaobo Han (/author/shaobo­han­6591), Xuejun Liao(/author/xuejun­liao­3562), Lawrence Carin (/author/lawrence­carin­3001)Auxiliary­variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions(/paper/5045­auxiliary­variable­exact­hamiltonian­monte­carlo­samplers­for­binary­distributions) Ari Pakman (/author/ari­pakman­6319), Liam Paninski (/author/liam­paninski­2391)Symbolic Opportunistic Policy Iteration for Factored­Action MDPs (/paper/5143­symbolic­opportunistic­policy­iteration­for­factored­action­mdps) Aswin Raghavan(/author/aswin­raghavan­6698), Roni Khardon (/author/roni­khardon­2261), Alan Fern(/author/alan­fern­2660), Prasad Tadepalli (/author/prasad­tadepalli­4690)Online Learning in Markov Decision Processes with Adversarially Chosen TransitionProbability Distributions (/paper/4975­online­learning­in­markov­decision­processes­with­adversarially­chosen­transition­probability­distributions) Yasin Abbasi(/author/yasin­abbasi­6448), Peter L. Bartlett (/author/peter­l­bartlett­6348), VarunKanade (/author/varun­kanade­4219), Yevgeny Seldin (/author/yevgeny­seldin­3401),Csaba Szepesvari (/author/csaba­szepesvari­6449)Flexible sampling of discrete data correlations without the marginal distributions(/paper/5044­flexible­sampling­of­discrete­data­correlations­without­the­marginal­distributions) Alfredo Kalaitzis (/author/alfredo­kalaitzis­6562), Ricardo Silva(/author/ricardo­silva­3670)One­shot learning by inverting a compositional causal process (/paper/5128­one­shot­learning­by­inverting­a­compositional­causal­process) Brenden M. Lake(/author/brenden­m­lake­6685), Ruslan R. Salakhutdinov (/author/ruslan­r­salakhutdinov­2816), Josh Tenenbaum (/author/josh­tenenbaum­6308)Statistical analysis of coupled time series with Kernel Cross­Spectral Densityoperators. (/paper/5079­statistical­analysis­of­coupled­time­series­with­kernel­cross­spectral­density­operators) Michel Besserve (/author/michel­besserve­5492), Nikos K.Logothetis (/author/nikos­k­logothetis­1511), Bernhard Schölkopf (/author/bernhard­scholkopf­1472)Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis(/paper/5134­fast­algorithms­for­gaussian­noise­invariant­independent­component­

analysis) James R. Voss (/author/james­r­voss­6690), Luis Rademacher (/author/luis­rademacher­6691), Mikhail Belkin (/author/mikhail­belkin­2150)Deep Neural Networks for Object Detection (/paper/5207­deep­neural­networks­for­object­detection) Christian Szegedy (/author/christian­szegedy­6791), AlexanderToshev (/author/alexander­toshev­6792), Dumitru Erhan (/author/dumitru­erhan­6793)Geometric optimisation on positive definite matrices for elliptically contoureddistributions (/paper/5169­geometric­optimisation­on­positive­definite­matrices­for­elliptically­contoured­distributions) Suvrit Sra (/author/suvrit­sra­2850), ReshadHosseini (/author/reshad­hosseini­6734)Sign Cauchy Projections and Chi­Square Kernel (/paper/5075­sign­cauchy­projections­and­chi­square­kernel) Ping Li (/author/ping­li­3294), Gennady Samorodnitsk(/author/gennady­samorodnitsk­6599), John Hopcroft (/author/john­hopcroft­6600)Relevance Topic Model for Unstructured Social Group Activity Recognition(/paper/4979­relevance­topic­model­for­unstructured­social­group­activity­recognition)Fang Zhao (/author/fang­zhao­6453), Yongzhen Huang (/author/yongzhen­huang­6454), Liang Wang (/author/liang­wang­6455), Tieniu Tan (/author/tieniu­tan­6456)k­Prototype Learning for 3D Rigid Structures (/paper/5095­k­prototype­learning­for­3d­rigid­structures) Hu Ding (/author/hu­ding­6633), Ronald Berezney (/author/ronald­berezney­6634), Jinhui Xu (/author/jinhui­xu­3682)Restricting exchangeable nonparametric distributions (/paper/4884­restricting­exchangeable­nonparametric­distributions) Sinead A. Williamson (/author/sinead­a­williamson­6312), Steve N. MacEachern (/author/steve­n­maceachern­6313), Eric P.Xing (/author/eric­p­xing­6314)Forgetful Bayes and myopic planning: Human learning and decision­making in a banditsetting (/paper/5180­forgetful­bayes­and­myopic­planning­human­learning­and­decision­making­in­a­bandit­setting) Shunan Zhang (/author/shunan­zhang­6748),Angela J. Yu (/author/angela­j­yu­2266)Probabilistic Movement Primitives (/paper/5177­probabilistic­movement­primitives)Alexandros Paraschos (/author/alexandros­paraschos­6743), Christian Daniel(/author/christian­daniel­6744), Jan Peters (/author/jan­peters­6745), GerhardNeumann (/author/gerhard­neumann­3982)Policy Shaping: Integrating Human Feedback with Reinforcement Learning(/paper/5187­policy­shaping­integrating­human­feedback­with­reinforcement­learning)Shane Griffith (/author/shane­griffith­6759), Kaushik Subramanian (/author/kaushik­subramanian­6760), Jonathan Scholz (/author/jonathan­scholz­6761), Charles Isbell(/author/charles­isbell­6700), Andrea L. Thomaz (/author/andrea­l­thomaz­6762)

Multilinear Dynamical Systems for Tensor Time Series (/paper/5117­multilinear­dynamical­systems­for­tensor­time­series) Mark Rogers (/author/mark­rogers­6666),Lei Li (/author/lei­li­6667), Stuart J. Russell (/author/stuart­j­russell­2312)Deep content­based music recommendation (/paper/5004­deep­content­based­music­recommendation) Aaron van den Oord (/author/aaron­van­den­oord­6493), SanderDieleman (/author/sander­dieleman­6494), Benjamin Schrauwen (/author/benjamin­schrauwen­4025)A Stability­based Validation Procedure for Differentially Private Machine Learning(/paper/5014­a­stability­based­validation­procedure­for­differentially­private­machine­learning) Kamalika Chaudhuri (/author/kamalika­chaudhuri­3963), Staal A. Vinterbo(/author/staal­a­vinterbo­6508)Capacity of strong attractor patterns to model behavioural and cognitive prototypes(/paper/5058­capacity­of­strong­attractor­patterns­to­model­behavioural­and­cognitive­prototypes) Abbas Edalat (/author/abbas­edalat­6576)Fantope Projection and Selection: A near­optimal convex relaxation of sparse PCA(/paper/5136­fantope­projection­and­selection­a­near­optimal­convex­relaxation­of­sparse­pca) Vincent Q. Vu (/author/vincent­q­vu­3955), Juhee Cho (/author/juhee­cho­6692), Jing Lei (/author/jing­lei­5097), Karl Rohe (/author/karl­rohe­6641)Cluster Trees on Manifolds (/paper/4984­cluster­trees­on­manifolds) SivaramanBalakrishnan (/author/sivaraman­balakrishnan­4913), Srivatsan Narayanan(/author/srivatsan­narayanan­6467), Alessandro Rinaldo (/author/alessandro­rinaldo­4914), Aarti Singh (/author/aarti­singh­4037), Larry Wasserman (/author/larry­wasserman­3110)Bayesian inference for low rank spatiotemporal neural receptive fields (/paper/4992­bayesian­inference­for­low­rank­spatiotemporal­neural­receptive­fields) Mijung Park(/author/mijung­park­5030), Jonathan W. Pillow (/author/jonathan­w­pillow­5713)Adaptive Submodular Maximization in Bandit Setting (/paper/4955­adaptive­submodular­maximization­in­bandit­setting) Victor Gabillon (/author/victor­gabillon­5220), Branislav Kveton (/author/branislav­kveton­2628), Zheng Wen (/author/zheng­wen­6418), Brian Eriksson (/author/brian­eriksson­6419), S. Muthukrishnan (/author/s­muthukrishnan­6420)Generalized Method­of­Moments for Rank Aggregation (/paper/4997­generalized­method­of­moments­for­rank­aggregation) Hossein Azari Soufiani (/author/hossein­azari­soufiani­6480), William Chen (/author/william­chen­6481), David C. Parkes(/author/david­c­parkes­2630), Lirong Xia (/author/lirong­xia­5550)Analyzing Hogwild Parallel Gaussian Gibbs Sampling (/paper/5043­analyzing­hogwild­

parallel­gaussian­gibbs­sampling) Matthew Johnson (/author/matthew­johnson­6559),James Saunderson (/author/james­saunderson­6560), Alan Willsky (/author/alan­willsky­6561)Minimax Optimal Algorithms for Unconstrained Linear Optimization (/paper/5148­minimax­optimal­algorithms­for­unconstrained­linear­optimization) Brendan McMahan(/author/brendan­mcmahan­6393), Jacob Abernethy (/author/jacob­abernethy­6346)(Nearly) Optimal Algorithms for Private Online Learning in Full­information and BanditSettings (/paper/5012­nearly­optimal­algorithms­for­private­online­learning­in­full­information­and­bandit­settings) Abhradeep Guha Thakurta (/author/abhradeep­guha­thakurta­6506), Adam Smith (/author/adam­smith­6507)Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions(/paper/4989­curvature­and­optimal­algorithms­for­learning­and­minimizing­submodular­functions) Rishabh K. Iyer (/author/rishabh­k­iyer­6347), Stefanie Jegelka(/author/stefanie­jegelka­3773), Jeff A. Bilmes (/author/jeff­a­bilmes­2747)Σ­Optimality for Active Learning on Gaussian Random Fields (/paper/4951­­optimality­for­active­learning­on­gaussian­random­fields) Yifei Ma (/author/yifei­ma­6414), RomanGarnett (/author/roman­garnett­5451), Jeff Schneider (/author/jeff­schneider­6415)Learning Kernels Using Local Rademacher Complexity (/paper/4896­learning­kernels­using­local­rademacher­complexity) Corinna Cortes (/author/corinna­cortes­1046),Marius Kloft (/author/marius­kloft­4217), Mehryar Mohri (/author/mehryar­mohri­2319)Annealing between distributions by averaging moments (/paper/4879­annealing­between­distributions­by­averaging­moments) Roger B. Grosse (/author/roger­b­grosse­6301), Chris J. Maddison (/author/chris­j­maddison­6302), Ruslan R.Salakhutdinov (/author/ruslan­r­salakhutdinov­2816)Optimizing Instructional Policies (/paper/4887­optimizing­instructional­policies) RobertV. Lindsey (/author/robert­v­lindsey­4297), Michael C. Mozer (/author/michael­c­mozer­191), William J. Huggins (/author/william­j­huggins­6316), Harold Pashler(/author/harold­pashler­4295)Translating Embeddings for Modeling Multi­relational Data (/paper/5071­translating­embeddings­for­modeling­multi­relational­data) Antoine Bordes (/author/antoine­bordes­5569), Nicolas Usunier (/author/nicolas­usunier­3174), Alberto Garcia­Duran(/author/alberto­garcia­duran­6594), Jason Weston (/author/jason­weston­1912),Oksana Yakhnenko (/author/oksana­yakhnenko­6595)Phase Retrieval using Alternating Minimization (/paper/5041­phase­retrieval­using­alternating­minimization) Praneeth Netrapalli (/author/praneeth­netrapalli­6558),Prateek Jain (/author/prateek­jain­3906), Sujay Sanghavi (/author/sujay­sanghavi­

3620)Real­Time Inference for a Gamma Process Model of Neural Spiking (/paper/5061­real­time­inference­for­a­gamma­process­model­of­neural­spiking) David E. Carlson(/author/david­e­carlson­6582), Vinayak Rao (/author/vinayak­rao­3608), Joshua T.Vogelstein (/author/joshua­t­vogelstein­6398), Lawrence Carin (/author/lawrence­carin­3001)Understanding Dropout (/paper/4878­understanding­dropout) Pierre Baldi(/author/pierre­baldi­99), Peter J. Sadowski (/author/peter­j­sadowski­6300)The Power of Asymmetry in Binary Hashing (/paper/5017­the­power­of­asymmetry­in­binary­hashing) Behnam Neyshabur (/author/behnam­neyshabur­6514), Nati Srebro(/author/nati­srebro­5014), Ruslan R. Salakhutdinov (/author/ruslan­r­salakhutdinov­2816), Yury Makarychev (/author/yury­makarychev­6515), Payman Yadollahpour(/author/payman­yadollahpour­6516)Estimation, Optimization, and Parallelism when Data is Sparse (/paper/4939­estimation­optimization­and­parallelism­when­data­is­sparse) John Duchi (/author/john­duchi­6337), Michael I. Jordan (/author/michael­i­jordan­6338), Brendan McMahan(/author/brendan­mcmahan­6393)A multi­agent control framework for co­adaptation in brain­computer interfaces(/paper/5176­a­multi­agent­control­framework­for­co­adaptation­in­brain­computer­interfaces) Josh S. Merel (/author/josh­s­merel­6741), Roy Fox (/author/roy­fox­6742),Tony Jebara (/author/tony­jebara­1766), Liam Paninski (/author/liam­paninski­2391)Modeling Overlapping Communities with Node Popularities (/paper/4977­modeling­overlapping­communities­with­node­popularities) Prem K. Gopalan (/author/prem­k­gopalan­5341), Chong Wang (/author/chong­wang­4201), David Blei (/author/david­blei­6452)Learning from Limited Demonstrations (/paper/4918­learning­from­limited­demonstrations) Beomjoon Kim (/author/beomjoon­kim­6357), Amir massoudFarahmand (/author/amir­massoud­farahmand­6358), Joelle Pineau (/author/joelle­pineau­2636), Doina Precup (/author/doina­precup­1573)On the Complexity and Approximation of Binary Evidence in Lifted Inference(/paper/4861­on­the­complexity­and­approximation­of­binary­evidence­in­lifted­inference) Guy van den Broeck (/author/guy­van­den­broeck­6274), Adnan Darwiche(/author/adnan­darwiche­2410)On the Representational Efficiency of Restricted Boltzmann Machines (/paper/5020­on­the­representational­efficiency­of­restricted­boltzmann­machines) James Martens(/author/james­martens­6519), Arkadev Chattopadhya (/author/arkadev­chattopadhya­

6520), Toni Pitassi (/author/toni­pitassi­6521), Richard Zemel (/author/richard­zemel­6522)Memory Limited, Streaming PCA (/paper/5035­memory­limited­streaming­pca) IoannisMitliagkas (/author/ioannis­mitliagkas­6549), Constantine Caramanis(/author/constantine­caramanis­4113), Prateek Jain (/author/prateek­jain­3906)An Approximate, Efficient LP Solver for LP Rounding (/paper/4990­an­approximate­efficient­lp­solver­for­lp­rounding) Srikrishna Sridhar (/author/srikrishna­sridhar­6470),Stephen Wright (/author/stephen­wright­5125), Christopher Re (/author/christopher­re­5124), Ji Liu (/author/ji­liu­4638), Victor Bittorf (/author/victor­bittorf­5271), Ce Zhang(/author/ce­zhang­6471)Linear decision rule as aspiration for simple decision heuristics (/paper/4888­linear­decision­rule­as­aspiration­for­simple­decision­heuristics) Özgür Şimşek(/author/ozgur­simsek­3863)On the Relationship Between Binary Classification, Bipartite Ranking, and Binary ClassProbability Estimation (/paper/4907­on­the­relationship­between­binary­classification­bipartite­ranking­and­binary­class­probability­estimation) Harikrishna Narasimhan(/author/harikrishna­narasimhan­6343), Shivani Agarwal (/author/shivani­agarwal­2781)Bayesian inference as iterated random functions with applications to sequentialinference in graphical models (/paper/4886­bayesian­inference­as­iterated­random­functions­with­applications­to­sequential­inference­in­graphical­models) Arash Amini(/author/arash­amini­6315), Long Nguyen (/author/long­nguyen­2608)Compressive Feature Learning (/paper/4932­compressive­feature­learning) Hristo S.Paskov (/author/hristo­s­paskov­6383), Robert West (/author/robert­west­6384), JohnC. Mitchell (/author/john­c­mitchell­6385), Trevor Hastie (/author/trevor­hastie­1173)Moment­based Uniform Deviation Bounds for k­means and Friends (/paper/5100­moment­based­uniform­deviation­bounds­for­k­means­and­friends) Matus J. Telgarsky(/author/matus­j­telgarsky­6642), Sanjoy Dasgupta (/author/sanjoy­dasgupta­2220)Fast Template Evaluation with Vector Quantization (/paper/5208­fast­template­evaluation­with­vector­quantization) Mohammad Amin Sadeghi (/author/mohammad­amin­sadeghi­6794), David Forsyth (/author/david­forsyth­6795)Context­sensitive active sensing in humans (/paper/5181­context­sensitive­active­sensing­in­humans) Sheeraz Ahmad (/author/sheeraz­ahmad­6749), He Huang(/author/he­huang­6750), Angela J. Yu (/author/angela­j­yu­2266)A New Convex Relaxation for Tensor Completion (/paper/5077­a­new­convex­relaxation­for­tensor­completion) Bernardino Romera­Paredes (/author/bernardino­

romera­paredes­6602), Massimiliano Pontil (/author/massimiliano­pontil­2047)Variational Planning for Graph­based MDPs (/paper/5067­variational­planning­for­graph­based­mdps) Qiang Cheng (/author/qiang­cheng­4621), Qiang Liu(/author/qiang­liu­5417), Feng Chen (/author/feng­chen­6590), Alex T. Ihler(/author/alex­t­ihler­5418)Convex Two­Layer Modeling (/paper/4867­convex­two­layer­modeling) Özlem Aslan(/author/ozlem­aslan­6282), Hao Cheng (/author/hao­cheng­6283), Xinhua Zhang(/author/xinhua­zhang­3378), Dale Schuurmans (/author/dale­schuurmans­1904)Sketching Structured Matrices for Faster Nonlinear Regression (/paper/5113­sketching­structured­matrices­for­faster­nonlinear­regression) Haim Avron(/author/haim­avron­6660), Vikas Sindhwani (/author/vikas­sindhwani­3394), DavidWoodruff (/author/david­woodruff­6661)(More) Efficient Reinforcement Learning via Posterior Sampling (/paper/5185­more­efficient­reinforcement­learning­via­posterior­sampling) Ian Osband (/author/ian­osband­6756), Dan Russo (/author/dan­russo­6345), Benjamin Van Roy(/author/benjamin­van­roy­1265)Model Selection for High­Dimensional Regression under the GeneralizedIrrepresentability Condition (/paper/4930­model­selection­for­high­dimensional­regression­under­the­generalized­irrepresentability­condition) Adel Javanmard(/author/adel­javanmard­5474), Andrea Montanari (/author/andrea­montanari­4355)Efficient Exploration and Value Function Generalization in Deterministic Systems(/paper/4972­efficient­exploration­and­value­function­generalization­in­deterministic­systems) Zheng Wen (/author/zheng­wen­6418), Benjamin Van Roy (/author/benjamin­van­roy­1265)Bellman Error Based Feature Generation using Random Projections on Sparse Spaces(/paper/5182­bellman­error­based­feature­generation­using­random­projections­on­sparse­spaces) Mahdi Milani Fard (/author/mahdi­milani­fard­6751), Yuri Grinberg(/author/yuri­grinberg­6752), Amir massoud Farahmand (/author/amir­massoud­farahmand­6358), Joelle Pineau (/author/joelle­pineau­2636), Doina Precup(/author/doina­precup­1573)Learning and using language via recursive pragmatic reasoning about other agents(/paper/4929­learning­and­using­language­via­recursive­pragmatic­reasoning­about­other­agents) Nathaniel J. Smith (/author/nathaniel­j­smith­6381), Noah Goodman(/author/noah­goodman­3514), Michael Frank (/author/michael­frank­6382)Learning Stochastic Inverses (/paper/4966­learning­stochastic­inverses) AndreasStuhlmüller (/author/andreas­stuhlmuller­6435), Jacob Taylor (/author/jacob­taylor­

6436), Noah Goodman (/author/noah­goodman­3514)Learning invariant representations and applications to face verification (/paper/5206­learning­invariant­representations­and­applications­to­face­verification) Qianli Liao(/author/qianli­liao­6790), Joel Z. Leibo (/author/joel­z­leibo­5026), Tomaso Poggio(/author/tomaso­poggio­26)Optimization, Learning, and Games with Predictable Sequences (/paper/5147­optimization­learning­and­games­with­predictable­sequences) Sasha Rakhlin(/author/sasha­rakhlin­5428), Karthik Sridharan (/author/karthik­sridharan­3842)Adaptivity to Local Smoothness and Dimension in Kernel Regression (/paper/5103­adaptivity­to­local­smoothness­and­dimension­in­kernel­regression) Samory Kpotufe(/author/samory­kpotufe­4345), Vikas Garg (/author/vikas­garg­6645)Adaptive dropout for training deep neural networks (/paper/5032­adaptive­dropout­for­training­deep­neural­networks) Jimmy Ba (/author/jimmy­ba­6545), Brendan Frey(/author/brendan­frey­6546)Hierarchical Modular Optimization of Convolutional Networks AchievesRepresentations Similar to Macaque IT and Human Ventral Stream (/paper/4991­hierarchical­modular­optimization­of­convolutional­networks­achieves­representations­similar­to­macaque­it­and­human­ventral­stream) Daniel L. Yamins (/author/daniel­l­yamins­6472), Ha Hong (/author/ha­hong­6473), Charles Cadieu (/author/charles­cadieu­3812), James J. DiCarlo (/author/james­j­dicarlo­6474)Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex(/paper/4883­stochastic­gradient­riemannian­langevin­dynamics­on­the­probability­simplex) Sam Patterson (/author/sam­patterson­6311), Yee Whye Teh (/author/yee­whye­teh­1925)Distributed Representations of Words and Phrases and their Compositionality(/paper/5021­distributed­representations­of­words­and­phrases­and­their­compositionality) Tomas Mikolov (/author/tomas­mikolov­6523), Ilya Sutskever(/author/ilya­sutskever­3959), Kai Chen (/author/kai­chen­5482), Greg S. Corrado(/author/greg­s­corrado­6524), Jeff Dean (/author/jeff­dean­6525)Regularized Spectral Clustering under the Degree­Corrected Stochastic Blockmodel(/paper/5099­regularized­spectral­clustering­under­the­degree­corrected­stochastic­blockmodel) Tai Qin (/author/tai­qin­6640), Karl Rohe (/author/karl­rohe­6641)Analyzing the Harmonic Structure in Graph­Based Learning (/paper/5157­analyzing­the­harmonic­structure­in­graph­based­learning) Xiao­Ming Wu (/author/xiao­ming­wu­6714), Zhenguo Li (/author/zhenguo­li­4266), Shih­Fu Chang (/author/shih­fu­chang­6715)

Recurrent linear models of simultaneously­recorded neural populations (/paper/4877­recurrent­linear­models­of­simultaneously­recorded­neural­populations) MariusPachitariu (/author/marius­pachitariu­5643), Biljana Petreska (/author/biljana­petreska­4966), Maneesh Sahani (/author/maneesh­sahani­1670)Scalable Influence Estimation in Continuous­Time Diffusion Networks (/paper/4857­scalable­influence­estimation­in­continuous­time­diffusion­networks) Nan Du(/author/nan­du­5356), Le Song (/author/le­song­3161), Manuel Gomez­Rodriguez(/author/manuel­gomez­rodriguez­6268), Hongyuan Zha (/author/hongyuan­zha­2173)Bayesian Inference and Learning in Gaussian Process State­Space Models withParticle MCMC (/paper/5085­bayesian­inference­and­learning­in­gaussian­process­state­space­models­with­particle­mcmc) Roger Frigola (/author/roger­frigola­6615),Fredrik Lindsten (/author/fredrik­lindsten­5468), Thomas B. Schön (/author/thomas­b­schon­6616), Carl Rasmussen (/author/carl­rasmussen­6617)BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables(/paper/4923­big­quic­sparse­inverse­covariance­estimation­for­a­million­variables)Cho­Jui Hsieh (/author/cho­jui­hsieh­6366), Matyas A. Sustik (/author/matyas­a­sustik­6367), Inderjit S. Dhillon (/author/inderjit­s­dhillon­6368), Pradeep K. Ravikumar(/author/pradeep­k­ravikumar­6369), Russell Poldrack (/author/russell­poldrack­6370)The Fast Convergence of Incremental PCA (/paper/5132­the­fast­convergence­of­incremental­pca) Akshay Balsubramani (/author/akshay­balsubramani­6687), SanjoyDasgupta (/author/sanjoy­dasgupta­2220), Yoav Freund (/author/yoav­freund­758)Multisensory Encoding, Decoding, and Identification (/paper/5056­multisensory­encoding­decoding­and­identification) Aurel A. Lazar (/author/aurel­a­lazar­4716),Yevgeniy Slutskiy (/author/yevgeniy­slutskiy­4717)Adaptive Anonymity via b­Matching (/paper/4858­adaptive­anonymity­via­b­matching)Krzysztof M. Choromanski (/author/krzysztof­m­choromanski­6269), Tony Jebara(/author/tony­jebara­1766), Kui Tang (/author/kui­tang­6270)Optimal integration of visual speed across different spatiotemporal frequency channels(/paper/5203­optimal­integration­of­visual­speed­across­different­spatiotemporal­frequency­channels) Matjaz Jogan (/author/matjaz­jogan­6786), Alan Stocker(/author/alan­stocker­1786)Matrix factorization with binary components (/paper/4860­matrix­factorization­with­binary­components) Martin Slawski (/author/martin­slawski­4931), Matthias Hein(/author/matthias­hein­2732), Pavlo Lutsik (/author/pavlo­lutsik­6273)Learning to Pass Expectation Propagation Messages (/paper/5070­learning­to­pass­expectation­propagation­messages) Nicolas Heess (/author/nicolas­heess­5523),

Daniel Tarlow (/author/daniel­tarlow­3452), John Winn (/author/john­winn­2338)Robust Low Rank Kernel Embeddings of Multivariate Distributions (/paper/5080­robust­low­rank­kernel­embeddings­of­multivariate­distributions) Le Song (/author/le­song­3161), Bo Dai (/author/bo­dai­6604)

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