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NIPS · 24.8k rows

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7,400	Efﬁcient Anomaly Detection via Matrix Sketching Vatsal Sharan Stanford University∗ vsharan@stanford.edu Parikshit Gopalan VMware Research pgopalan@vmware.com Udi Wieder VMware Research uwieder@vmware.com Abstract We consider the problem of ﬁnding anomalies in high-dimensional data using popular ...	2018	233
7,401	Backpropagation with Continuation Callbacks: Foundations for Efﬁcient and Expressive Differentiable Programming Fei Wang Purdue University West Lafayette, IN 47906 wang603@purdue.edu James Decker Purdue University West Lafayette, IN 47906 decker31@purdue.edu Xilun Wu Purdue University West Laf...	2018	234
7,402	Constrained Cross-Entropy Method for Safe Reinforcement Learning Min Wen Department of Electrical and Systems Engineering University of Pennsylvania wenm@seas.upenn.edu Ufuk Topcu Department of Aerospace Engineering and Engineering Mechanics University of Texas at Austin utopcu@utexas.edu Abstract ...	2018	235
7,403	Graphical model inference: Sequential Monte Carlo meets deterministic approximations Fredrik Lindsten Department of Information Technology Uppsala University Uppsala, Sweden fredrik.lindsten@it.uu.se Jouni Helske Department of Science and Technology Linköping University Norrköping, Sweden jouni.he...	2018	236
7,404	Playing hard exploration games by watching YouTube Yusuf Aytar∗, Tobias Pfaff∗, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas DeepMind, London, UK {yusufaytar,tpfaff,budden,tpaine,ziyu,nandodefreitas}@google.com Abstract Deep reinforcement learning methods traditionally struggle with tasks where env...	2018	237
7,405	Improved Algorithms for Collaborative PAC Learning Huy Lê Nguy˜ên College of Computer and Information Science Northeastern University Boston, MA 02115 hu.nguyen@northeastern.edu Lydia Zakynthinou College of Computer and Information Science Northeastern University Boston, MA 02115 zakynthinou.l@nor...	2018	238
7,406	Scaling provable adversarial defenses Eric Wong Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213 ericwong@cs.cmu.edu Frank R. Schmidt Bosch Center for Artiﬁcial Intelligence Renningen, Germany frank.r.schmidt@de.bosch.com Jan Hendrik Metzen Bosch Center for Artiﬁcial Int...	2018	239
7,407	Generalization Bounds for Uniformly Stable Algorithms Vitaly Feldman Google Brain Jan Vondrak Stanford University Abstract Uniform stability of a learning algorithm is a classical notion of algorithmic stability introduced to derive high-probability bounds on the generalization error (Bousquet and Eli...	2018	24
7,408	Understanding Batch Normalization Johan Bjorck, Carla Gomes, Bart Selman, Kilian Q. Weinberger Cornell University {njb225,gomes,selman,kqw4} @cornell.edu Abstract Batch normalization (BN) is a technique to normalize activations in intermediate layers of deep neural networks. Its tendency to improve accuracy...	2018	240
7,409	Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models Minjia Zhang Xiaodong Liu Wenhan Wang Jianfeng Gao Yuxiong He Microsoft {minjiaz,xiaodl,wenhanw,jfgao,yuxhe}@microsoft.com Abstract Neural language models (NLMs) have recently gained a renewed interest by ...	2018	241
7,410	Learning from discriminative feature feedback Sanjoy Dasgupta, Akansha Dey, Nicholas Roberts Department of Computer Science and Engineering University of California, San Diego dasgupta@eng.ucsd.edu,n3robert@ucsd.edu,a1dey@ucsd.edu Sivan Sabato Department of Computer Science Ben-Gurion University of the Ne...	2018	242
7,411	Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates Krishnakumar Balasubramanian Department of Statistics University of California, Davis kbala@ucdavis.edu Saeed Ghadimi ⇤ Department of Operations Research and Financial Engineering Princeton University sghad...	2018	243
7,412	Coordinate Descent with Bandit Sampling Farnood Salehi1 Patrick Thiran2 L. Elisa Celis3 1,2,3 School of Computer and Communication Sciences École Polytechnique Fédérale de Lausanne (EPFL) firstname.lastname@epfl.ch Abstract Coordinate descent methods usually minimize a cost function by updating a random...	2018	244
7,413	PAC-Bayes bounds for stable algorithms with instance-dependent priors Omar Rivasplata UCL Emilio Parrado-Hern´andez University Carlos III of Madrid John Shawe-Taylor UCL Shiliang Sun East China Normal University Csaba Szepesv´ari DeepMind Abstract PAC-Bayes bounds have been proposed to get ris...	2018	245
7,414	DropMax: Adaptive Variational Softmax Hae Beom Lee1,2, Juho Lee3,2, Saehoon Kim2, Eunho Yang1,2, Sung Ju Hwang1,2 KAIST1, AItrics2, South Korea, University of Oxford3, United Kingdom, {haebeom.lee, eunhoy, sjhwang82}@kaist.ac.kr juho.lee@stats.ox.ac.uk, shkim@aitrics.com Abstract We propose DropMax, a sto...	2018	246
7,415	Multi-Layered Gradient Boosting Decision Trees Ji Feng†, ‡, Yang Yu†, Zhi-Hua Zhou† †National Key Lab for Novel Software Technology, Nanjing University, China †{fengj, yuy, zhouzh}@lamda.nju.edu.cn ‡ Sinovation Ventures AI Institute ‡{fengji}@chuangxin.com Abstract Multi-layered distributed representation...	2018	247
7,416	Rest-Katyusha: Exploiting the Solution’s Structure via Scheduled Restart Schemes Junqi Tang School of Engineering University of Edinburgh, UK J.Tang@ed.ac.uk Mohammad Golbabaee Department of Computer Science University of Bath, UK M.Golbabaee@bath.ac.uk Francis Bach INRIA - ENS PSL Research Univ...	2018	248
7,417	Automatic Program Synthesis of Long Programs with a Learned Garbage Collector Amit Zohar1 Lior Wolf 1 2 1The School of Computer Science , Tel Aviv University 2Facebook AI Research Abstract We consider the problem of generating automatic code given sample input-output pairs. We train a neural network to ...	2018	249
7,418	COLA: Decentralized Linear Learning Lie He⇤ EPFL lie.he@epfl.ch An Bian⇤ ETH Zurich ybian@inf.ethz.ch Martin Jaggi EPFL martin.jaggi@epfl.ch Abstract Decentralized machine learning is a promising emerging paradigm in view of global challenges of data ownership and privacy. We consider learning o...	2018	25
7,419	Quantifying Learning Guarantees for Convex but Inconsistent Surrogates Kirill Struminsky NRU HSE,∗Moscow, Russia Simon Lacoste-Julien† MILA and DIRO Université de Montréal, Canada Anton Osokin NRU HSE,∗‡ Moscow, Russia Skoltech,§ Moscow, Russia Abstract We study consistency properties of machine l...	2018	250
7,420	Unsupervised Text Style Transfer using Language Models as Discriminators Zichao Yang1, Zhiting Hu1, Chris Dyer2, Eric P. Xing1, Taylor Berg-Kirkpatrick1 1Carnegie Mellon University, 2DeepMind {zichaoy, zhitingh, epxing, tberg}@cs.cmu.edu cdyer@google.com Abstract Binary classiﬁers are often employed as di...	2018	251
7,421	Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation Edward Smith McGill University edward.smith@mail.mcgill.ca Scott Fujimoto McGill University scott.fujimoto@mail.mcgill.ca David Meger McGill University dmeger@cim.mcgill.ca Abstract We consider the problem...	2018	252
7,422	Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Sara Magliacane MIT-IBM Watson AI Lab, IBM Research∗ sara.magliacane@gmail.com Thijs van Ommen University of Amsterdam thijsvanommen@gmail.com Tom Claassen Radboud University Nijmegen tomc@cs.ru.nl Stephan B...	2018	253
7,423	Confounding-Robust Policy Improvement Nathan Kallus Cornell University and Cornell Tech New York, NY kallus@cornell.edu Angela Zhou Cornell University and Cornell Tech New York, NY az434@cornell.edu Abstract We study the problem of learning personalized decision policies from observational data wh...	2018	254
7,424	Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes Ronan Fruit Sequel Team - Inria Lille ronan.fruit@inria.fr Matteo Pirotta Sequel Team - Inria Lille matteo.pirotta@inria.fr Alessandro Lazaric Facebook AI Research lazaric@fb.com Abstract While designing the sta...	2018	255
7,425	Mesh-TensorFlow: Deep Learning for Supercomputers Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake Hechtman Google Brain {noam, ylc, nikip, trandustin, avaswani, penporn, phawkins, hy...	2018	256
7,426	Foreground Clustering for Joint Segmentation and Localization in Videos and Images Abhishek Sharma Navinfo Europe Research, Eindhoven, NL ∗ kein.iitian@gmail.com Abstract This paper presents a novel framework in which video/image segmentation and localization are cast into a single optimization problem th...	2018	257
7,427	Privacy Ampliﬁcation by Subsampling: Tight Analyses via Couplings and Divergences Borja Balle Amazon Research pigem@amazon.co.uk Gilles Barthe IMDEA Software Institute gilles.barthe@imdea.org Marco Gaboardi University at Buffalo, SUNY gaboardi@buffalo.edu Abstract Differential privacy comes equi...	2018	258
7,428	The Description Length of Deep Learning Models Léonard Blier École Normale Supérieure Paris, France leonard.blier@normalesup.org Yann Ollivier Facebook Artiﬁcial Intelligence Research Paris, France yol@fb.com Abstract Solomonoff’s general theory of inference (Solomonoff, 1964) and the Minimum Desc...	2018	259
7,429	Leveraging the Exact Likelihood of Deep Latent Variable Models Pierre-Alexandre Mattei Department of Computer Science IT University of Copenhagen pima@itu.dk Jes Frellsen Department of Computer Science IT University of Copenhagen jefr@itu.dk Abstract Deep latent variable models (DLVMs) combine the...	2018	26
7,430	Semi-crowdsourced Clustering with Deep Generative Models Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu∗, Bo Zhang Dept. of Comp. Sci. & Tech., Institute for AI, THBI Lab, BNRist Center, State Key Lab for Intell. Tech. & Sys., Tsinghua University, Beijing, China {luoyc15,shijx15}@mails.tsinghua.edu.cn, rossowhite@...	2018	260
7,431	Scalable Laplacian K-modes Imtiaz Masud Ziko ∗ ÉTS Montreal Eric Granger ÉTS Montreal Ismail Ben Ayed ÉTS Montreal Abstract We advocate Laplacian K-modes for joint clustering and density mode ﬁnding, and propose a concave-convex relaxation of the problem, which yields a parallel algorithm that scale...	2018	261
7,432	Early Stopping for Nonparametric Testing Meimei Liu Department of Statistical Science Duke University Durham, NC 27705 meimei.liu@duke.edu Guang Cheng Department of Statistics Purdue University West Lafayette, IN 47907 chengg@purdue.edu Abstract Early stopping of iterative algorithms is an algor...	2018	262
7,433	Non-Adversarial Mapping with VAEs Yedid Hoshen Facebook AI Research Abstract The study of cross-domain mapping without supervision has recently attracted much attention. Much of the recent progress was enabled by the use of adversarial training as well as cycle constraints. The practical difﬁculty of advers...	2018	263
7,434	Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra Rowan McAllister Sergey Levine Berkeley Artiﬁcial Intelligence Research University of California, Berkeley {kchua, roberto.calandra, rmcallister, svlevine}@berkeley.edu Abstract Mode...	2018	264
7,435	The challenge of realistic music generation: modelling raw audio at scale Sander Dieleman Aäron van den Oord Karen Simonyan DeepMind London, UK {sedielem,avdnoord,simonyan}@google.com Abstract Realistic music generation is a challenging task. When building generative models of music that are learnt ...	2018	265
7,436	Approximation algorithms for stochastic clustering∗ David G. Harris Department of Computer Science University of Maryland, College Park, MD 20742 davidgharris29@gmail.com Shi Li University at Buffalo Buffalo, NY. shil@buffalo.edu Thomas Pensyl Bandwidth, Inc. Raleigh, NC tpensyl@bandwidth.com Ar...	2018	266
7,437	Inexact trust-region algorithms on Riemannian manifolds Hiroyuki Kasai The University of Electro-Communications Japan kasai@is.uec.ac.jp Bamdev Mishra Microsoft India bamdevm@microsoft.com Abstract We consider an inexact variant of the popular Riemannian trust-region algorithm for structured big...	2018	267
7,438	Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis CSAIL, MIT dalvmel@mit.edu Tommi S. Jaakkola CSAIL, MIT tommi@csail.mit.edu Abstract Most recent work on interpretability of complex machine learning models has focused on estimating a posteriori explanations fo...	2018	268
7,439	Predictive Uncertainty Estimation via Prior Networks Andrey Malinin Department of Engineering University of Cambridge am969@cam.ac.uk Mark Gales Department of Engineering University of Cambridge mjfg@eng.cam.ac.uk Abstract Estimating how uncertain an AI system is in its predictions is important to i...	2018	269
7,440	A General Method for Amortizing Variational Filtering Joseph Marino, Milan Cvitkovic, Yisong Yue California Institute of Technology {jmarino, mcvitkovic, yyue}@caltech.edu Abstract We introduce the variational ﬁltering EM algorithm, a simple, general-purpose method for performing variational inference in ...	2018	27
7,441	Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization Blake Woodworth Toyota Technological Institute at Chicago blake@ttic.edu Jialei Wang Two Sigma Investments jialei.wang@twosigma.com Adam Smith Boston University ads22@bu.edu Brendan McMahan Google mcmahan@google.c...	2018	270
7,442	An Off-policy Policy Gradient Theorem Using Emphatic Weightings Ehsan Imani⇤, Eric Graves⇤, Martha White Reinforcement Learning and Artiﬁcial Intelligence Laboratory Department of Computing Science University of Alberta {imani,graves,whitem}@ualberta.ca Abstract Policy gradient methods are widely used f...	2018	271
7,443	Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning Yonathan Efroni∗ jonathan.efroni@gmail.com Gal Dalal∗ gald@campus.technion.ac.il Bruno Scherrer† bruno.scherrer@inria.fr Shie Mannor∗ shie@ee.technion.ac.il Abstract Multiple-step lookahead policies have demonstrated hi...	2018	272
7,444	Scaling the Poisson GLM to massive neural datasets through polynomial approximations David M. Zoltowski Princeton Neuroscience Institute Princeton University; Princeton, NJ 08544 zoltowski@princeton.edu Jonathan W. Pillow Princeton Neuroscience Institute & Psychology Princeton University; Princeton, NJ ...	2018	273
7,445	Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks Yingyezhe Jin Texas A&M University College Station, TX 77843 jyyz@tamu.edu Wenrui Zhang Texas A&M University College Station, TX 77843 zhangwenrui@tamu.edu Peng Li Texas A&M University College Station, TX 77843 ...	2018	274
7,446	Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise 1 Alessandro Rudi 2 Massimiliano Pontil 1,3 Carlo Ciliberto 1,4 {g.luise.16,m.pontil}@ucl.ac.uk alessandro.rudi@inria.fr c.ciliberto@imperial.ac.uk 1Department of Computer Science, University College ...	2018	275
7,447	The Cluster Description Problem - Complexity Results, Formulations and Approximations Ian Davidson∗ Department of Computer Science University of California - Davis davidson@cs.ucdavis.edu Antoine Gourru Universite de Lyon (ERIC, Lyon 2) antoine.gourru@univ-lyon2.fr S. S. Ravi† Biocomplexity Institut...	2018	276
7,448	Global Non-convex Optimization with Discretized Diffusions Murat A. Erdogdu 1,2 erdogdu@cs.toronto.edu Lester Mackey 3 lmackey@ microsoft.com Ohad Shamir 4 ohad.shamir@weizmann.ac.il 1University of Toronto 2Vector Institute 3Microsoft Research 4Weizmann Institute of Science Abstract An Euler discret...	2018	277
7,449	Contextual Pricing for Lipschitz Buyers Jieming Mao University of Pennsylvania jiemingm@seas.upenn.edu Renato Paes Leme Google Research renatoppl@google.com Jon Schneider Google Research jschnei@google.com Abstract We investigate the problem of learning a Lipschitz function from binary feedback. ...	2018	278
7,450	Processing of missing data by neural networks Marek ´Smieja marek.smieja@uj.edu.pl Łukasz Struski lukasz.struski@uj.edu.pl Jacek Tabor jacek.tabor@uj.edu.pl Bartosz Zieli´nski bartosz.zielinski@uj.edu.pl Przemysław Spurek przemyslaw.spurek@uj.edu.pl Faculty of Mathematics and Computer Science Ja...	2018	279
7,451	One-Shot Unsupervised Cross Domain Translation Sagie Benaim1 and Lior Wolf1,2 1The School of Computer Science , Tel Aviv University, Israel 2Facebook AI Research Abstract Given a single image x from domain A and a set of images from domain B, our task is to generate the analogous of x in B. We argue that th...	2018	28
7,452	Invariant Representations without Adversarial Training Daniel Moyer, Shuyang Gao, Rob Brekelmans, Greg Ver Steeg, and Aram Galstyan Information Sciences Institute University of Southern California {moyerd, gaos, brekelma}@usc.edu {gregv, galstyan}@isi.edu Abstract Representations of data that are invari...	2018	280
7,453	Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo Marton Havasi Department of Engineering University of Cambridge mh740@cam.ac.uk Jos´e Miguel Hern´andez-Lobato Department of Engineering University of Cambridge, Microsoft Research, Alan Turing Institute jmh233@...	2018	281
7,454	Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Zi Wang∗ MIT CSAIL ziw@csail.mit.edu Beomjoon Kim∗ MIT CSAIL beomjoon@mit.edu Leslie Pack Kaelbling MIT CSAIL lpk@csail.mit.edu Abstract Bayesian optimization usually assumes that a Bayesian prior is given. Howev...	2018	282
7,455	Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices Jinhwan Park Seoul National University bnoo@snu.ac.kr Yoonho Boo Seoul National University dnsgh@snu.ac.kr Iksoo Choi Seoul National University akacis@snu.ac.kr Sungho Shin Seoul National University ssh9919@snu.ac.kr ...	2018	283
7,456	Large Margin Deep Networks for Classiﬁcation Gamaleldin F. Elsayed ∗ Google Research Dilip Krishnan Google Research Hossein Mobahi Google Research Kevin Regan Google Research Samy Bengio Google Research {gamaleldin, dilipkay, hmobahi, kevinregan, bengio}@google.com Abstract We present a formul...	2018	284
7,457	Collaborative Learning for Deep Neural Networks Guocong Song Playground Global Palo Alto, CA 94306 songgc@gmail.com Wei Chai Google Mountain View, CA 94043 chaiwei@google.com Abstract We introduce collaborative learning in which multiple classiﬁer heads of the same network are simultaneously train...	2018	285
7,458	Multi-Task Learning as Multi-Objective Optimization Ozan Sener Intel Labs Vladlen Koltun Intel Labs Abstract In multi-task learning, multiple tasks are solved jointly, sharing inductive bias between them. Multi-task learning is inherently a multi-objective problem because different tasks may conﬂict, ne...	2018	286
7,459	Learning to Exploit Stability for 3D Scene Parsing Yilun Du MIT CSAIL Zhijian Liu MIT CSAIL Hector Basevi University of Birmingham Aleš Leonardis University of Birmingham William T. Freeman MIT CSAIL Joshua B. Tenenbaum MIT CSAIL Jiajun Wu MIT CSAIL Abstract Human scene understanding use...	2018	287
7,460	Direct Runge-Kutta Discretization Achieves Acceleration Jingzhao Zhang LIDS Massachusetts Institute of Technology Cambridge, MA, 02139 jzhzhang@mit.edu Aryan Mokhtari LIDS Massachusetts Institute of Technology Cambridge, MA, 02139 aryanm@mit.edu Suvrit Sra LIDS, IDSS Massachusetts Institute ...	2018	288
7,461	Communication Compression for Decentralized Training Hanlin Tang1, Shaoduo Gan2, Ce Zhang2, Tong Zhang3, and Ji Liu3,1 1Department of Computer Science, University of Rochester 2Department of Computer Science, ETH Zurich 3Tencent AI Lab htang14@ur.rochester.edu, sgan@inf.ethz.ch, ce.zhang@inf.ethz.ch, tong...	2018	289
7,462	Query K-means Clustering and the Double Dixie Cup Problem I (Eli) Chien Department ECE UIUC ichien3@illinois.edu Chao Pan Department ECE UIUC chaopan2@illinois.edu Olgica Milenkovic Department ECE UIUC milenkov@illinois.edu Abstract We consider the problem of approximate K-means clustering...	2018	29
7,463	Neural Voice Cloning with a Few Samples Sercan Ö. Arık∗ sercanarik@baidu.com Jitong Chen∗ chenjitong01@baidu.com Kainan Peng∗ pengkainan@baidu.com Wei Ping∗ pingwei01@baidu.com Yanqi Zhou yanqiz@baidu.com Baidu Research 1195 Bordeaux Dr. Sunnyvale, CA 94089 Abstract Voice cloning is a highly...	2018	290
7,464	Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch Osman Asif Malik Department of Applied Mathematics University of Colorado Boulder osman.malik@colorado.edu Stephen Becker Department of Applied Mathematics University of Colorado Boulder stephen.becker@colorado.edu Abstract We propo...	2018	291
7,465	But How Does It Work in Theory? Linear SVM with Random Features Yitong Sun Department of Mathematics University of Michigan Ann Arbor, MI, 48109 syitong@umich.edu Anna Gilbert Department of Mathematics University of Michigan annacg@umich.edu Ambuj Tewari Department of Statistics University of ...	2018	292
7,466	Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution Longquan Dai School of Computer Science and Engineering Nanjing University of Science and Technology dailongquan@njust.edu.cn Liang Tang CASA Environmental Technology Co., Ltd CASA EM&EW IOT Research Center tangl@...	2018	293
7,467	A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl1∗,2,, Bernardino Romera-Paredes1, Clemens Meyer1, Jeffrey De Fauw1, Joseph R. Ledsam1, Klaus H. Maier-Hein2, S. M. Ali Eslami1, Danilo Jimenez Rezende1, and Olaf Ronneberger1 1DeepMind, London, UK 2Division of Medical Image Computin...	2018	294
7,468	Bandit Learning in Concave N-Person Games Mario Bravo Universidad de Santiago de Chile Departamento de Matemática y Ciencia de la Computación mario.bravo.g@usach.cl David Leslie Lancaster University & PROWLER.io d.leslie@lancaster.ac.uk Panayotis Mertikopoulos Univ. Grenoble Alpes, CNRS, Inria, Grenob...	2018	295
7,469	Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis Thomas George∗1, César Laurent∗1, Xavier Bouthillier1, Nicolas Ballas2, Pascal Vincent1,2,3 1 Mila - Université de Montréal; 2 Facebook AI Research; 3 CIFAR; ∗equal contribution ...	2018	296
7,470	A convex program for bilinear inversion of sparse vectors Alireza Aghasi Georgia State Business School GSU, GA aaghasi@gsu.edu Ali Ahmed Dept. of Electrical Engineering ITU, Lahore ali.ahmed@itu.edu.pk Paul Hand Dept. of Mathematics and College of Computer and Information Science Northeastern Un...	2018	297
7,471	Lipschitz-Margin Training: Scalable Certiﬁcation of Perturbation Invariance for Deep Neural Networks Yusuke Tsuzuku The University of Tokyo RIKEN tsuzuku@ms.k.u-tokyo.ac.jp Issei Sato The University of Tokyo RIKEN sato@k.u-tokyo.ac.jp Masashi Sugiyama RIKEN The University of Tokyo sugi@k.u-tok...	2018	298
7,472	Robust Learning of Fixed-Structure Bayesian Networks Yu Cheng Department of Computer Science Duke University Durham, NC 27708 yucheng@cs.duke.edu Ilias Diakonikolas Department of Computer Science University of Southern California Los Angeles, CA 90089 ilias.diakonikolas@gmail.com Daniel M. Kane ...	2018	299
7,473	On GANs and GMMs Eitan Richardson School of Computer Science and Engineering The Hebrew University of Jerusalem Jerusalem, Israel eitanrich@cs.huji.ac.il Yair Weiss School of Computer Science and Engineering The Hebrew University of Jerusalem Jerusalem, Israel yweiss@cs.huji.ac.il Abstract A lon...	2018	3
7,474	Probabilistic Neural Programmed Networks for Scene Generation Zhiwei Deng, Jiacheng Chen, Yifang Fu, Greg Mori Simon Fraser University {zhiweid, jca348, yifangf}@sfu.ca, mori@cs.sfu.ca Abstract In this paper we address the text to scene image generation problem. Generative models that capture the variabil...	2018	30
7,475	3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler* University of Amsterdam m.weiler@uva.nl Mario Geiger* EPFL mario.geiger@epfl.ch Max Welling University of Amsterdam, CIFAR, Qualcomm AI Research m.welling@uva.nl Wouter Boomsma University of Copenh...	2018	300
7,476	Toddler-Inspired Visual Object Learning Sven Bambach1, David J. Crandall1, Linda B. Smith2, Chen Yu2 1School of Informatics, Computing, and Engineering, 2Dept. of Psychological and Brain Sciences Indiana University Bloomington {sbambach, djcran, smith4, chenyu}@iu.edu Abstract Real-world learning systems ha...	2018	301
7,477	Reducing Network Agnostophobia Akshay Raj Dhamija, Manuel G¨unther, and Terrance E. Boult Vision and Security Technology Lab, University of Colorado Colorado Springs {adhamija \| mgunther \| tboult} @ vast.uccs.edu Abstract Agnostophobia, the fear of the unknown, can be experienced by deep learning engineers ...	2018	302
7,478	Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions Minhyuk Sung Stanford University mhsung@cs.stanford.edu Hao Su University of California San Diego haosu@eng.ucsd.edu Ronald Yu University of California San Diego ronaldyu@ucsd.edu Leonidas Guibas St...	2018	303
7,479	Teaching Inverse Reinforcement Learners via Features and Demonstrations Luis Haug Department of Computer Science ETH Zurich lhaug@inf.ethz.ch Sebastian Tschiatschek Microsoft Research Cambridge, UK setschia@microsoft.com Adish Singla Max Planck Institute for Software Systems Saarbrücken, Germany...	2018	304
7,480	Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Stanford University junting@stanford.edu Bingbin Liu Stanford University bingbin@stanford.edu De-An Huang Stanford University dahuang@cs.stanford.edu Li Fei-Fei Stanford University feifeili@cs.stanford.ed...	2018	305
7,481	Maximizing acquisition functions for Bayesian optimization James T. Wilson⇤ Imperial College London Frank Hutter University of Freiburg Marc Peter Deisenroth Imperial College London PROWLER.io Abstract Bayesian optimization is a sample-efﬁcient approach to global optimization that relies on theore...	2018	306
7,482	Nonparametric Density Estimation with Adversarial Losses Shashank Singh1,2,∗ Ananya Uppal3 Boyue Li4 Chun-Liang Li1 Manzil Zaheer1 Barnabás Póczos1 1Machine Learning Department 2Department of Statistics & Data Science 3Department of Mathematical Sciences 4Language Technologies Institute Carnegie...	2018	307
7,483	Weakly Supervised Dense Event Captioning in Videos Xuguang Duan∗1, Wenbing Huang∗2, Chuang Gan3, Jingdong Wang4, Wenwu Zhu1, Junzhou Huang2 1 Tsinghua University, Beijing, China; 2 Tencent AI Lab. ; 3 MIT-IBM Watson AI Lab; 4 Microsoft Research Asia, Beijing, China; duan_xg@outlook.com, hwenbing@126.com, ganc...	2018	308
7,484	Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley School of Informatics University of Edinburgh elliot.j.crowley@ed.ac.uk Gavin Gray School of Informatics University of Edinburgh g.d.b.gray@ed.ac.uk Amos Storkey School of Informatics University of Edinburgh a.storkey@ed.ac.uk Abs...	2018	309
7,485	Escaping Saddle Points in Constrained Optimization Aryan Mokhtari MIT Cambridge, MA 02139 aryanm@mit.edu Asuman Ozdaglar MIT Cambridge, MA 02139 asuman@mit.edu Ali Jadbabaie MIT Cambridge, MA 02139 jadbabai@mit.edu Abstract In this paper, we study the problem of escaping from saddle points i...	2018	31
7,486	Exploiting Numerical Sparsity for Efﬁcient Learning : Faster Eigenvector Computation and Regression Neha Gupta Department of Computer Science Stanford University Stanford, CA USA nehagupta@cs.stanford.edu Aaron Sidford Department of Management Science and Engineering Stanford University Stanford, CA...	2018	310
7,487	The Everlasting Database: Statistical Validity at a Fair Price Blake Woodworth Toyota Technological Institute at Chicago Vitaly Feldman Google Saharon Rosset Tel Aviv University Nathan Srebro Toyota Technological Institute at Chicago Abstract The problem of handling adaptivity in data analysis...	2018	311
7,488	Learning Conditioned Graph Structures for Interpretable Visual Question Answering Will Norcliffe-Brown AimBrain Ltd. will.norcliffe@aimbrain.com Efstathios Vafeias AimBrain Ltd. stathis@aimbrain.com Sarah Parisot AimBrain Ltd. sarah@aimbrain.com Abstract Visual Question answering is a challengin...	2018	312
7,489	Exponentially Weighted Imitation Learning for Batched Historical Data Qing Wang1 Jiechao Xiong1 Lei Han1 Peng Sun1 Han Liu12 Tong Zhang1 1Tencent AI Lab 2Northwestern University {drwang, jcxiong, lxhan, pythonsun}@tencent.com hanliu@northwestern.edu, tongzhang@tongzhang-ml.org Abstract We cons...	2018	313
7,490	Temporal Regularization in Markov Decision Process Pierre Thodoroff McGill University pierre.thodoroff@mail.mcgill.ca Audrey Durand McGill University audrey.durand@mcgill.ca Joelle Pineau McGill University & Facebook AI Research jpineau@cs.mcgill.ca Doina Precup McGill University dprecup@cs.mcgi...	2018	314
7,491	Explaining Deep Learning Models – A Bayesian Non-parametric Approach Wenbo Guo The Pennsylvania State University wzg13@ist.psu.edu Sui Huang Netﬂix Inc. shuang@netflix.com Yunzhe Tao Columbia University y.tao@columbia.edu Xinyu Xing The Pennsylvania State University xxing@ist.psu.edu Lin Lin...	2018	315
7,492	Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates Yining Wang, Sivaraman Balakrishnan, Aarti Singh Department of Machine Learning and Statistics Carnegie Mellon University, Pittsburgh, PA, 15213, USA {yiningwa,aarti}@cs.cmu.edu, siva@stat.cmu.edu Abstract We consider the proble...	2018	316
7,493	Measures of distortion for machine learning Leena Chennuru Vankadara University of Tübingen Max Planck Institute for Intelligent Systems, Tübingen leena.chennuru@tuebingen.mpg.de Ulrike von Luxburg University of Tübingen Max Planck Institute for Intelligent Systems, Tübingen luxburg@informatik.uni-tuebi...	2018	317
7,494	Sparse DNNs with Improved Adversarial Robustness Yiwen Guo1, 2∗ Chao Zhang3∗ Changshui Zhang2 Yurong Chen1 1 Intel Labs China 2 Institute for Artiﬁcial Intelligence, Tsinghua University (THUAI), State Key Lab of Intelligent Technologies and Systems, Beijing National Research Center for Information Scien...	2018	318
7,495	e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu1 Tim Rocktäschel2 Thomas Lukasiewicz1,3 Phil Blunsom1,4 {oana-maria.camburu, thomas.lukasiewicz, phil.blunsom}@cs.ox.ac.uk t.rocktaschel@ucl.ac.uk 1Department of Computer Science, University of Oxford 2Department of Com...	2018	319
7,496	Adversarial Text Generation via Feature-Mover’s Distance Liqun Chen1, Shuyang Dai1, Chenyang Tao1, Dinghan Shen1, Zhe Gan2, Haichao Zhang4, Yizhe Zhang3, Lawrence Carin1 1Duke University, 2Microsoft Dynamics 365 AI Research, 3Microsoft Research, 4Baidu Research liqun.chen@duke.edu Abstract Generative adve...	2018	32
7,497	Synaptic Strength For Convolutional Neural Network Chen Lin SenseTime Research linchen@sensetime.com Zhao Zhong ∗ NLPR, CASIA University of Chinese Academy of Sciences zhao.zhong@nlpr.ia.ac.cn Wei Wu SenseTime Research wuwei@sensetime.com Junjie Yan SenseTime Research yanjunjie@sensetime.com ...	2018	320
7,498	Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta, Russell Mendonca, YuXuan Liu, Pieter Abbeel, Sergey Levine Department of Electrical Engineering and Computer Science University of California, Berkeley {abhigupta, pabbeel, svlevine}@eecs.berkeley.edu {russellm, yuxuanliu}@berk...	2018	321
7,499	Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Inﬂuence Trong Dinh Thac Do Advanced Analytics Institute University of Technology Sydney thacdtd@gmail.com Longbing Cao ∗ Advanced Analytics Institute University of Technology Sydney longbing.cao@gmail.com Abstract A conjugate Gamma...	2018	322

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