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NIPS · 24.8k rows

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6,900	Bandits Dueling on Partially Ordered Sets Julien Audiffren CMLA ENS Paris-Saclay, CNRS Universit´e Paris-Saclay, France julien.audiffren@gmail.com Liva Ralaivola Lab. Informatique Fondamentale de Marseille CNRS, Aix Marseille University Institut Universitaire de France F-13288 Marseille Cedex 9, Fra...	2017	403
6,901	Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search Mohammad Ali Bashiri Xinhua Zhang Department of Computer Science, University of Illinois at Chicago Chicago, Illinois 60607 {mbashi4,zhangx}@uic.edu Abstract Frank-Wolfe (FW) algorithms with linear convergence rates have...	2017	404
6,902	Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces Daniel J. Milstein ∗ daniel_milstein@alumni.brown.edu Jason L. Pacheco † pachecoj@mit.edu Leigh R. Hochberg ‡ § ¶ leigh_hochberg@brown.edu John D. Simeral ‡ § john_simeral@brown.edu Beata Jarosiewicz ∥§ ∗∗ beataj@stanford....	2017	405
6,903	Fast Black-box Variational Inference through Stochastic Trust-Region Optimization Jeffrey Regier jregier@cs.berkeley.edu Michael I. Jordan jordan@cs.berkeley.edu Jon McAuliffe jon@stat.berkeley.edu Abstract We introduce TrustVI, a fast second-order algorithm for black-box variational inference based...	2017	406
6,904	Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network Lixin Fan lixin.fan@nokia.com Nokia Technologies Tampere, Finland Abstract We revisit fuzzy neural network with a cornerstone notion of generalized hamming distance, which provides a novel and theore...	2017	407
6,905	Optimized Pre-Processing for Discrimination Prevention Flavio P. Calmon Harvard University flavio@seas.harvard.edu Dennis Wei IBM Research AI dwei@us.ibm.com Bhanukiran Vinzamuri IBM Research AI bhanu.vinzamuri@ibm.com Karthikeyan Natesan Ramamurthy IBM Research AI knatesa@us.ibm.com Kush R....	2017	408
6,906	Scalable Demand-Aware Recommendation Jinfeng Yi1∗, Cho-Jui Hsieh2, Kush R. Varshney1, Lijun Zhang3, Yao Li2 1IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA 2University of California, Davis, CA, USA 3National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China jinf...	2017	409
6,907	When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent Mert Gürbüzbalaban⇤, Asuman Ozdaglar†, Pablo A. Parrilo†, N. Denizcan Vanli† ⇤Rutgers University, mg1366@rutgers.edu †Massachusetts Institute of Technology, {asuman,parrilo,denizcan}@mit.edu Abstract The coordinate descent (CD) method ...	2017	41
6,908	Learning a Multi-View Stereo Machine Abhishek Kar UC Berkeley akar@berkeley.edu Christian Häne UC Berkeley chaene@berkeley.edu Jitendra Malik UC Berkeley malik@berkeley.edu Abstract We present a learnt system for multi-view stereopsis. In contrast to recent learning based methods for 3D reconstr...	2017	410
6,909	On Blackbox Backpropagation and Jacobian Sensing Krzysztof Choromanski Google Brain New York, NY 10011 kchoro@google.com Vikas Sindhwani Google Brain New York, NY 10011 sindhwani@google.com Abstract From a small number of calls to a given “blackbox" on random input perturbations, we show how to ef...	2017	411
6,910	Learning Disentangled Representations with Semi-Supervised Deep Generative Models N. Siddharth† University of Oxford nsid@robots.ox.ac.uk Brooks Paige† Alan Turing Institute University of Cambridge bpaige@turing.ac.uk Jan-Willem van de Meent† Northeastern University j.vandemeent@northeastern.edu ...	2017	412
6,911	GP CaKe: Effective brain connectivity with causal kernels Luca Ambrogioni Radboud University l.ambrogioni@donders.ru.nl Max Hinne Radboud University m.hinne@donders.ru.nl Marcel A. J. van Gerven Radboud University m.vangerven@donders.ru.nl Eric Maris Radboud University e.maris@donders.ru.nl ...	2017	413
6,912	Certiﬁed Defenses for Data Poisoning Attacks Jacob Steinhardt⇤ Stanford University jsteinha@stanford.edu Pang Wei Koh⇤ Stanford University pangwei@cs.stanford.edu Percy Liang Stanford University pliang@cs.stanford.edu Abstract Machine learning systems trained on user-provided data are susceptible ...	2017	414
6,913	Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran∗ Kendall Lowrey∗ Emanuel Todorov Sham Kakade University of Washington Seattle { aravraj, klowrey, todorov, sham } @ cs.washington.edu Abstract This work shows that policies with simple linear and RBF parameterizations can ...	2017	415
6,914	Imagination-Augmented Agents for Deep Reinforcement Learning Sébastien Racanière∗Théophane Weber∗David P. Reichert∗Lars Buesing Arthur Guez Danilo Rezende Adria Puigdomènech Badia Oriol Vinyals Nicolas Heess Yujia Li Razvan Pascanu Peter Battaglia Demis Hassabis David Silver Daan Wierstra De...	2017	416
6,915	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell DeepMind {balajiln,apritzel,cblundell}@google.com Abstract Deep neural networks (NNs) are powerful black box predictors that have recently achieved impressive performan...	2017	417
6,916	Adaptive Active Hypothesis Testing under Limited Information Fabio Cecchi Eindhoven University of Technology, Eindhoven, The Netherlands f.cecchi@tue.nl Nidhi Hegde Nokia Bell Labs, Paris-Saclay, France nidhi.hegde@nokia-bell-labs.com Abstract We consider the problem of active sequential hypothesis te...	2017	418
6,917	Translation Synchronization via Truncated Least Squares Xiangru Huang⋆ The University of Texas at Austin 2317 Speedway, Austin, 78712 xrhuang@cs.utexas.edu Zhenxiao Liang⋆ Tsinghua University Beijing, China, 100084 liangzx14@mails.tsinghua.edu.cn Chandrajit Bajaj The University of Texas at Austin ...	2017	419
6,918	Principles of Riemannian Geometry in Neural Networks Michael Hauser Department of Mechanical Engineering Pennsylvania State University State College, PA 16801 mzh190@psu.edu Asok Ray Department of Mechanical Engineering Pennsylvania State University State College, PA 16801 axr2@psu.edu Abstract ...	2017	42
6,919	Limitations on Variance-Reduction and Acceleration Schemes for Finite Sum Optimization Yossi Arjevani Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot 7610001, Israel yossi.arjevani@weizmann.ac.il Abstract We study the conditions under which one is able to efﬁ...	2017	420
6,920	Flexpoint: An Adaptive Numerical Format for Efﬁcient Training of Deep Neural Networks Urs Köster∗†, Tristan J. Webb∗, Xin Wang∗, Marcel Nassar∗, Arjun K. Bansal, William H. Constable, O˘guz H. Elibol, Scott Gray‡, Stewart Hall†, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao Artiﬁcial In...	2017	421
6,921	Recursive Sampling for the Nyström Method Cameron Musco MIT EECS cnmusco@mit.edu Christopher Musco MIT EECS cpmusco@mit.edu Abstract We give the ﬁrst algorithm for kernel Nyström approximation that runs in linear time in the number of training points and is provably accurate for all kernel matrices, ...	2017	422
6,922	Early stopping for kernel boosting algorithms: A general analysis with localized complexities Yuting Wei1 Fanny Yang2∗ Martin J. Wainwright1,2 Department of Statistics1 Department of Electrical Engineering and Computer Sciences2 UC Berkeley Berkeley, CA 94720 {ytwei, fanny-yang, wainwrig}@berkeley.edu...	2017	423
6,923	Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning Shixiang Gu University of Cambridge Max Planck Institute sg717@cam.ac.uk Timothy Lillicrap DeepMind countzero@google.com Zoubin Ghahramani University of Cambridge Uber AI Labs zou...	2017	424
6,924	Parameter-Free Online Learning via Model Selection Dylan J. Foster Cornell University Satyen Kale Google Research Mehryar Mohri NYU and Google Research Karthik Sridharan Cornell University Abstract We introduce an efﬁcient algorithmic framework for model selection in online learning, also known as...	2017	425
6,925	Predicting User Activity Level In Point Processes With Mass Transport Equation Yichen Wang⇧, Xiaojing Ye⇤, Hongyuan Zha⇧, Le Song⇧† ⇧College of Computing, Georgia Institute of Technology ⇤School of Mathematics, Georgia State University † Ant Financial {yichen.wang}@gatech.edu, xye@gsu.edu {zha,lsong}@cc.g...	2017	426
6,926	The Importance of Communities for Learning to Inﬂuence Eric Balkanski Harvard University ericbalkanski@g.harvard.edu Nicole Immorlica Microsoft Research nicimm@microsoft.com Yaron Singer Harvard University yaron@seas.harvard.edu Abstract We consider the canonical problem of inﬂuence maximization...	2017	427
6,927	Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra John T. Halloran Department of Public Health Sciences University of California, Davis jthalloran@ucdavis.edu David M. Rocke Department of Public Health Sciences University of California, Davis dmrocke@ucdavis.ed...	2017	428
6,928	On the Optimization Landscape of Tensor Decompositions Rong Ge Duke University rongge@cs.duke.edu Tengyu Ma Facebook AI Research tengyuma@cs.stanford.edu Abstract Non-convex optimization with local search heuristics has been widely used in machine learning, achieving many state-of-art results. It be...	2017	429
6,929	Continual Learning with Deep Generative Replay Hanul Shin Massachusetts Institute of Technology SK T-Brain skyshin@mit.edu Jung Kwon Lee∗, Jaehong Kim∗, Jiwon Kim SK T-Brain {jklee,xhark,jk}@sktbrain.com Abstract Attempts to train a comprehensive artiﬁcial intelligence capable of solving multiple ta...	2017	43
6,930	Counterfactual Fairness Matt Kusner ∗ The Alan Turing Institute and University of Warwick mkusner@turing.ac.uk Joshua Loftus ∗ New York University loftus@nyu.edu Chris Russell ∗ The Alan Turing Institute and University of Surrey crussell@turing.ac.uk Ricardo Silva The Alan Turing Institute and...	2017	430
6,931	Efﬁcient Online Linear Optimization with Approximation Algorithms Dan Garber Technion - Israel Institute of Technology dangar@technion.ac.il Abstract We revisit the problem of online linear optimization in case the set of feasible actions is accessible through an approximated linear optimization oracle with...	2017	431
6,932	Inhomogeneous Hypergraph Clustering with Applications Pan Li Department ECE UIUC panli2@illinois.edu Olgica Milenkovic Department ECE UIUC milenkov@illinois.edu Abstract Hypergraph partitioning is an important problem in machine learning, computer vision and network analytics. A widely used meth...	2017	432
6,933	Runtime Neural Pruning Ji Lin∗ Department of Automation Tsinghua University lin-j14@mails.tsinghua.edu.cn Yongming Rao∗ Department of Automation Tsinghua University raoyongming95@gmail.com Jiwen Lu Department of Automation Tsinghua University lujiwen@tsinghua.edu.cn Jie Zhou Department of Au...	2017	433
6,934	Train longer, generalize better: closing the generalization gap in large batch training of neural networks Elad Hoffer∗, Itay Hubara∗, Daniel Soudry Technion - Israel Institute of Technology, Haifa, Israel {elad.hoffer, itayhubara, daniel.soudry}@gmail.com Abstract Background: Deep learning models are...	2017	434
6,935	Monte-Carlo Tree Search by Best Arm Identiﬁcation Emilie Kaufmann CNRS & Univ. Lille, UMR 9189 (CRIStAL), Inria SequeL Lille, France emilie.kaufmann@univ-lille1.fr Wouter M. Koolen Centrum Wiskunde & Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands wmkoolen@cwi.nl Abstract Recent ad...	2017	435
6,936	Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung Department of Computer Science and Engineering Hong Kong University of Science and Technology {xshiab,zgaoag,lelausen,hwangaz,dyyeung}@cse.ust.hk Wai-kin Wong, Wang-chun ...	2017	436
6,937	Scalable Model Selection for Belief Networks Zhao Song†, Yusuke Muraoka∗, Ryohei Fujimaki∗, Lawrence Carin† †Department of ECE, Duke University Durham, NC 27708, USA {zhao.song, lcarin}@duke.edu ∗NEC Data Science Research Laboratories Cupertino, CA 95014, USA {ymuraoka, rfujimaki}@nec-labs.com Abstract ...	2017	437
6,938	Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang1, Aditya Balu1, Chinmay Hegde2, and Soumik Sarkar1 1Department of Mechanical Engineering, Iowa State University, zhjiang, baditya, soumiks@iastate.edu 2Department of Electrical and Computer Engineering , Iowa State University, chinmay@iasta...	2017	438
6,939	On the Complexity of Learning Neural Networks Le Song Georgia Institute of Technology Atlanta, GA 30332 lsong@cc.gatech.edu Santosh Vempala Georgia Institute of Technology Atlanta, GA 30332 vempala@gatech.edu John Wilmes Georgia Institute of Technology Atlanta, GA 30332 wilmesj@gatech.edu Bo X...	2017	439
6,940	Nonlinear random matrix theory for deep learning Jeffrey Pennington Google Brain jpennin@google.com Pratik Worah Google Research pworah@google.com Abstract Neural network conﬁgurations with random weights play an important role in the analysis of deep learning. They deﬁne the initial loss landscape an...	2017	44
6,941	A Sample Complexity Measure with Applications to Learning Optimal Auctions Vasilis Syrgkanis Microsoft Research vasy@microsoft.com Abstract We introduce a new sample complexity measure, which we refer to as split-sample growth rate. For any hypothesis H and for any sample S of size m, the splitsample grow...	2017	440
6,942	On Optimal Generalizability in Parametric Learning Ahmad Beirami∗ beirami@seas.harvard.edu Meisam Razaviyayn† razaviya@usc.edu Shahin Shahrampour∗ shahin@seas.harvard.edu Vahid Tarokh∗ vahid@seas.harvard.edu Abstract We consider the parametric learning problem, where the objective of the learner is ...	2017	441
6,943	K-Medoids for K-Means Seeding James Newling Idiap Research Institue and ´Ecole polytechnique f´ed´erale de Lausanne james.newling@idiap.ch Franc¸ois Fleuret Idiap Research Institue and ´Ecole polytechnique f´ed´erale de Lausanne francois.fleuret@idiap.ch Abstract We show experimentally that the algo...	2017	442
6,944	Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction Dan Xu1 Wanli Ouyang2 Xavier Alameda-Pineda3 Elisa Ricci4 Xiaogang Wang5 Nicu Sebe1 1The University of Trento, 2The University of Sydney, 3Perception Group, INRIA 4University of Perugia, 5The Chinese Univer...	2017	443
6,945	Geometric Descent Method for Convex Composite Minimization Shixiang Chen1, Shiqian Ma2, and Wei Liu3 1Department of SEEM, The Chinese University of Hong Kong, Hong Kong 2Department of Mathematics, UC Davis, USA 3Tencent AI Lab, China Abstract In this paper, we extend the geometric descent method recently ...	2017	444
6,946	Label Efﬁcient Learning of Transferable Representations across Domains and Tasks Zelun Luo Stanford University zelunluo@stanford.edu Yuliang Zou Virginia Tech ylzou@vt.edu Judy Hoffman University of California, Berkeley jhoffman@eecs.berkeley.edu Li Fei-Fei Stanford University feifeili@cs.stan...	2017	445
6,947	Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications Qinshi Wang Princeton University Princeton, NJ 08544 qinshiw@princeton.edu Wei Chen Microsoft Research Beijing, China weic@microsoft.com Abstract We study combinatorial multi-armed b...	2017	446
6,948	Matching neural paths: transfer from recognition to correspondence search Nikolay Savinov1 Lubor Ladicky1 Marc Pollefeys1,2 1Department of Computer Science at ETH Zurich, 2Microsoft {nikolay.savinov,lubor.ladicky,marc.pollefeys}@inf.ethz.ch Abstract Many machine learning tasks require ﬁnding per-part co...	2017	447
6,949	Convergence Analysis of Two-layer Neural Networks with ReLU Activation Yuanzhi Li Computer Science Department Princeton University yuanzhil@cs.princeton.edu Yang Yuan Computer Science Department Cornell University yangyuan@cs.cornell.edu Abstract In recent years, stochastic gradient descent (SGD) ...	2017	448
6,950	Quantifying how much sensory information in a neural code is relevant for behavior Giuseppe Pica1,2 giuseppe.pica@iit.it Eugenio Piasini1 eugenio.piasini@iit.it Houman Safaai1,3 houman_safaai@hms.harvard.edu Caroline A. Runyan3,4 runyan@pitt.edu Mathew E. Diamond5 diamond@sissa.it Tommaso Fellin...	2017	449
6,951	Identiﬁcation of Gaussian Process State Space Models Stefanos Eleftheriadis†, Thomas F.W. Nicholson†, Marc P. Deisenroth†‡, James Hensman† †PROWLER.io, ‡Imperial College London {stefanos, tom, marc, james}@prowler.io Abstract The Gaussian process state space model (GPSSM) is a non-linear dynamical system, w...	2017	45
6,952	Self-supervised Learning of Motion Capture Hsiao-Yu Fish Tung 1, Hsiao-Wei Tung 2, Ersin Yumer 3, Katerina Fragkiadaki 1 1 Carnegie Mellon University, Machine Learning Department 2 University of Pittsburgh, Department of Electrical and Computer Engineering 3 Adobe Research {htung, katef}@cs.cmu.edu, hst11@pit...	2017	450
6,953	Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System Chengxu Zhuang Department of Psychology Stanford University Stanford, CA 94305 chengxuz@stanford.edu Jonas Kubilius Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge, MA 02139 ...	2017	451
6,954	Clustering Billions of Reads for DNA Data Storage Cyrus Rashtchiana,b Konstantin Makarycheva,c Miklós Rácza,d Siena Dumas Anga Djordje Jevdjica Sergey Yekhanina Luis Cezea,b Karin Straussa aMicrosoft Research, bCSE at University of Washington, cEECS at Northwestern University, dORFE at Princeton Uni...	2017	452
6,955	AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms Marco F. Cusumano-Towner Probabilistic Computing Project Massachusetts Institute of Technology marcoct@mit.edu Vikash K. Mansinghka Probabilistic Computing Project Massachusetts Institute of Technology vkm@mit.edu Ab...	2017	453
6,956	Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky {aolinxu2,maxim}@illinois.edu ⇤ Abstract We derive upper bounds on the generalization error of a learning algorithm in terms of the mutual information between its input and output. The bounds provide...	2017	454
6,957	MarrNet: 3D Shape Reconstruction via 2.5D Sketches Jiajun Wu* MIT CSAIL Yifan Wang* ShanghaiTech University Tianfan Xue MIT CSAIL Xingyuan Sun Shanghai Jiao Tong University William T. Freeman MIT CSAIL, Google Research Joshua B. Tenenbaum MIT CSAIL Abstract 3D object reconstruction from a si...	2017	455
6,958	Flexible statistical inference for mechanistic models of neural dynamics Jan-Matthis Lueckmann∗1, Pedro J. Gonçalves∗1, Giacomo Bassetto1, Kaan Öcal1,2, Marcel Nonnenmacher1, Jakob H. Macke†1 1 research center caesar, an associate of the Max Planck Society, Bonn, Germany 2 Mathematical Institute, University o...	2017	456
6,959	ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching Chunyuan Li1, Hao Liu2, Changyou Chen3, Yunchen Pu1, Liqun Chen1, Ricardo Henao1 and Lawrence Carin1 1Duke University 2Nanjing University 3University at Buffalo cl319@duke.edu Abstract We investigate the non-identiﬁabili...	2017	457
6,960	Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization Pan Xu Department of Computer Science University of Virginia Charlottesville, VA 22904 px3ds@virginia.edu Jian Ma School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 jianma@cs.cmu.edu ...	2017	458
6,961	Sparse convolutional coding for neuronal assembly detection Sven Peter1,∗ Elke Kirschbaum1,∗ {sven.peter,elke.kirschbaum}@iwr.uni-heidelberg.de Martin Both2 mboth@physiologie.uni-heidelberg.de Lee A. Campbell3 lee.campbell@nih.gov Brandon K. Harvey3 bharvey@mail.nih.gov Conor Heins3,4,† conor.he...	2017	459
6,962	Estimation of the covariance structure of heavy-tailed distributions Stanislav Minsker Department of Mathematics University of Southern California Los Angeles, CA 90007 minsker@usc.edu Xiaohan Wei Department of Electrical Engineering University of Southern California Los Angeles, CA 90007 xiaohanw...	2017	46
6,963	Neural Networks for Efﬁcient Bayesian Decoding of Natural Images from Retinal Neurons Nikhil Parthasarathy∗ Stanford University nikparth@gmail.com Eleanor Batty∗ Columbia University erb2180@columbia.edu William Falcon Columbia University waf2107@columbia.edu Thomas Rutten Columbia University t...	2017	460
6,964	Plan, Attend, Generate: Planning for Sequence-to-Sequence Models Francis Dutil∗ University of Montreal (MILA) frdutil@gmail.com Caglar Gulcehre∗ University of Montreal (MILA) ca9lar@gmail.com Adam Trischler Microsoft Research Maluuba adam.trischler@microsoft.com Yoshua Bengio University of Montr...	2017	461
6,965	Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems Yonatan Belinkov and James Glass Computer Science and Artiﬁcial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA 02139 {belinkov, glass}@mit.edu Abstract Neural networks have become ubiquitous ...	2017	462
6,966	Multi-Task Learning for Contextual Bandits Aniket Anand Deshmukh Department of EECS University of Michigan Ann Arbor Ann Arbor, MI 48105 aniketde@umich.edu Urun Dogan Microsoft Research Cambridge CB1 2FB, UK urun.dogan@skype.net Clayton Scott Department of EECS University of Michigan Ann Arbor ...	2017	463
6,967	Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks Prateep Bhattacharjee1, Sukhendu Das2 Visualization and Perception Laboratory Department of Computer Science and Engineering Indian Institute of Technology Madras, Chennai, India 1prateepb@...	2017	464
6,968	Improving the Expected Improvement Algorithm Chao Qin Columbia Business School New York, NY 10027 cqin22@gsb.columbia.edu Diego Klabjan Northwestern University Evanston, IL 60208 d-klabjan@northwestern.edu Daniel Russo Columbia Business School New York, NY 10027 djr2174@gsb.columbia.edu Abstra...	2017	465
6,969	Towards Accurate Binary Convolutional Neural Network Xiaofan Lin Cong Zhao Wei Pan* DJI Innovations Inc, Shenzhen, China {xiaofan.lin, cong.zhao, wei.pan}@dji.com Abstract We introduce a novel scheme to train binary convolutional neural networks (CNNs) – CNNs with weights and activations constrained t...	2017	466
6,970	Spectrally-normalized margin bounds for neural networks Peter L. Bartlett∗ Dylan J. Foster† Matus Telgarsky‡ Abstract This paper presents a margin-based multiclass generalization bound for neural networks that scales with their margin-normalized spectral complexity: their Lipschitz constant, meaning the p...	2017	467
6,971	Consistent Multitask Learning with Nonlinear Output Relations Carlo Ciliberto •,1 Alessandro Rudi •,∗,2 Lorenzo Rosasco 3,4,5 Massimiliano Pontil 1,5 {c.ciliberto,m.pontil}@ucl.ac.uk alessandro.rudi@inria.fr lrosasco@mit.edu 1Department of Computer Science, University College London, London, UK. 2IN...	2017	468
6,972	Deep Recurrent Neural Network-Based Identiﬁcation of Precursor microRNAs Seunghyun Park Electrical and Computer Engineering Seoul National University Seoul 08826, Korea School of Electrical Engineering Korea University Seoul 02841, Korea Seonwoo Min Electrical and Computer Engineering Seoul Nation...	2017	469
6,973	Robust Optimization for Non-Convex Objectives Robert Chen Computer Science Harvard University Brendan Lucier Microsoft Research New England Yaron Singer Computer Science Harvard University Vasilis Syrgkanis Microsoft Research New England Abstract We consider robust optimization problems, whe...	2017	47
6,974	Boltzmann Exploration Done Right Nicolò Cesa-Bianchi Università degli Studi di Milano Milan, Italy nicolo.cesa-bianchi@unimi.it Claudio Gentile INRIA Lille – Nord Europe Villeneuve d’Ascq, France cla.gentile@gmail.com Gábor Lugosi ICREA & Universitat Pompeu Fabra Barcelona, Spain gabor.lugosi@gm...	2017	470
6,975	End-to-End Differentiable Proving Tim Rocktäschel University of Oxford tim.rocktaschel@cs.ox.ac.uk Sebastian Riedel University College London & Bloomsbury AI s.riedel@cs.ucl.ac.uk Abstract We introduce neural networks for end-to-end differentiable proving of queries to knowledge bases by operating on ...	2017	471
6,976	Matching on Balanced Nonlinear Representations for Treatment Effects Estimation Sheng Li Adobe Research San Jose, CA sheli@adobe.com Yun Fu Northeastern University Boston, MA yunfu@ece.neu.edu Abstract Estimating treatment effects from observational data is challenging due to the missing counter...	2017	472
6,977	Tomography of the London Underground: a Scalable Model for Origin-Destination Data Nicolò Colombo Department of Statistical Science University College London nicolo.colombo@ucl.ac.uk Ricardo Silva The Alan Turing Institute and Department of Statistical Science University College London ricardo.silva...	2017	473
6,978	Gaussian process based nonlinear latent structure discovery in multivariate spike train data Anqi Wu, Nicholas A. Roy, Stephen Keeley, & Jonathan W. Pillow Princeton Neuroscience Institute Princeton University Abstract A large body of recent work focuses on methods for extracting low-dimensional latent st...	2017	474
6,979	Multi-Objective Non-parametric Sequential Prediction Guy Uziel Computer Science Department Technion - Israel Institute of Technology guziel@cs.technion.ac.il Ran El-Yaniv Computer Science Department Technion - Israel Institute of Technology rani@cs.technion.ac.il Abstract Online-learning research ...	2017	475
6,980	Optimal Sample Complexity of M-wise Data for Top-K Ranking Minje Jang∗ School of Electrical Engineering KAIST jmj427@kaist.ac.kr Sunghyun Kim∗ Electronics and Telecommunications Research Institute Daejeon, Korea koishkim@etri.re.kr Changho Suh School of Electrical Engineering KAIST chsuh@kaist...	2017	476
6,981	From which world is your graph? Cheng Li College of William & Mary Felix M. F. Wong Independent Researcher∗ Zhenming Liu College of William & Mary Varun Kanade University of Oxford Abstract Discovering statistical structure from links is a fundamental problem in the analysis of social networks. Choo...	2017	477
6,982	An Empirical Bayes Approach to Optimizing Machine Learning Algorithms James McInerney Spotify Research 45 W 18th St, 7th Floor New York, NY 10011 jamesm@spotify.com Abstract There is rapidly growing interest in using Bayesian optimization to tune model and inference hyperparameters for machine learnin...	2017	478
6,983	Multiscale Quantization for Fast Similarity Search Xiang Wu Ruiqi Guo Ananda Theertha Suresh Sanjiv Kumar Dan Holtmann-Rice David Simcha Felix X. Yu Google Research, New York {wuxiang, guorq, theertha, sanjivk, dhr, dsimcha, felixyu}@google.com Abstract We propose a multiscale quantization approach ...	2017	479
6,984	Exploring Generalization in Deep Learning Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester, Nathan Srebro Toyota Technological Institute at Chicago {bneyshabur, srinadh, mcallester, nati}@ttic.edu Abstract With a goal of understanding what drives generalization in deep networks, we consider several ...	2017	48
6,985	Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction Zhan Shi Xinhua Zhang University of Illinois at Chicago Chicago, Illinois 60661 {zshi22,zhangx}@uic.edu Yaoliang Yu University of Waterloo Waterloo, ON, N2L3G1 yaoliang.yu@uwaterloo.ca Abstract Adversar...	2017	480
6,986	Perturbative Black Box Variational Inference Robert Bamler∗ Disney Research Pittsburgh, USA Cheng Zhang∗ Disney Research Pittsburgh, USA Manfred Opper TU Berlin Berlin, Germany Stephan Mandt∗ Disney Research Pittsburgh, USA ﬁrstname.lastname@{disneyresearch.com, tu-berlin.de} Abstract Blac...	2017	481
6,987	Kernel Feature Selection via Conditional Covariance Minimization Jianbo Chen⇤ University of California, Berkeley jianbochen@berkeley.edu Mitchell Stern⇤ University of California, Berkeley mitchell@berkeley.edu Martin J. Wainwright University of California, Berkeley wainwrig@berkeley.edu Michael I....	2017	482
6,988	Active Learning from Peers Keerthiram Murugesan Jaime Carbonell School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 {kmuruges,jgc}@cs.cmu.edu Abstract This paper addresses the challenge of learning from peers in an online multitask setting. Instead of always requesting a label f...	2017	483
6,989	On Fairness and Calibration Geoff Pleiss∗, Manish Raghavan∗, Felix Wu, Jon Kleinberg, Kilian Q. Weinberger Cornell University, Department of Computer Science {geoff,manish,kleinber}@cs.cornell.edu, {fw245,kwq4}@cornell.edu Abstract The machine learning community has become increasingly concerned with the ...	2017	484
6,990	One-Shot Imitation Learning Yan Duan†§, Marcin Andrychowicz‡, Bradly Stadie†‡, Jonathan Ho†§, Jonas Schneider‡, Ilya Sutskever‡, Pieter Abbeel†§, Wojciech Zaremba‡ †Berkeley AI Research Lab, ‡OpenAI §Work done while at OpenAI {rockyduan, jonathanho, pabbeel}@eecs.berkeley.edu {marcin, bstadie, jonas, ilyasu...	2017	485
6,991	Triangle Generative Adversarial Networks Zhe Gan∗, Liqun Chen∗, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin Duke University zhe.gan@duke.edu Abstract A Triangle Generative Adversarial Network (∆-GAN) is developed for semisupervised cross-domain joint distribution matching, whe...	2017	486
6,992	Learning Populations of Parameters Kevin Tian, Weihao Kong, and Gregory Valiant Department of Computer Science Stanford University Stanford, CA, 94305 (kjtian, whkong, valiant)@stanford.edu Abstract Consider the following estimation problem: there are n entities, each with an unknown parameter pi ∈[0, 1...	2017	487
6,993	Multi-Armed Bandits with Metric Movement Costs Tomer Koren Google Brain tkoren@google.com Roi Livni Princeton University rlivni@cs.princeton.edu Yishay Mansour Tel Aviv University and Google mansour@cs.tau.ac.il Abstract We consider the non-stochastic Multi-Armed Bandit problem in a setting where ...	2017	488
6,994	Structured Embedding Models for Grouped Data Maja Rudolph Columbia Univ. maja@cs.columbia.edu Francisco Ruiz Univ. of Cambridge Columbia Univ. Susan Athey Stanford Univ. David Blei Columbia Univ. Abstract Word embeddings are a powerful approach for analyzing language, and exponential family em...	2017	489
6,995	Spherical convolutions and their application in molecular modelling Wouter Boomsma Department of Computer Science University of Copenhagen wb@di.ku.dk Jes Frellsen Department of Computer Science IT University of Copenhagen jefr@itu.dk Abstract Convolutional neural networks are increasingly used ou...	2017	49
6,996	Conservative Contextual Linear Bandits Abbas Kazerouni Stanford University abbask@stanford.edu Mohammad Ghavamzadeh DeepMind ghavamza@google.com Yasin Abbasi-Yadkori Adobe Research abbasiya@adobe.com Benjamin Van Roy Stanford University bvr@stanford.edu Abstract Safety is a desirable propert...	2017	490
6,997	Regularized Modal Regression with Applications in Cognitive Impairment Prediction Xiaoqian Wang1, Hong Chen1, Weidong Cai2, Dinggang Shen3, Heng Huang1∗ 1 Department of Electrical and Computer Engineering, University of Pittsburgh, USA 2School of Information Technologies, University of Sydney, Australia 3 Dep...	2017	491
6,998	Adversarial Ranking for Language Generation Kevin Lin∗ University of Washington kvlin@uw.edu Dianqi Li∗ University of Washington dianqili@uw.edu Xiaodong He Microsoft Research xiaohe@microsoft.com Zhengyou Zhang Microsoft Research zhang@microsoft.com Ming-Ting Sun University of Washington ...	2017	492
6,999	Diving into the shallows: a computational perspective on large-scale shallow learning Siyuan Ma Mikhail Belkin Department of Computer Science and Engineering The Ohio State University {masi, mbelkin}@cse.ohio-state.edu Abstract Remarkable recent success of deep neural networks has not been easy to analy...	2017	493

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