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NIPS · 24.8k rows

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7,600	Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks Agastya Kalra∗, Abdullah Rashwan∗, Wilson Hsu, Pascal Poupart Cheriton School of Computer Science, Waterloo AI Institute, University of Waterloo, Canada Vector Institute, Toronto, Canada agastya.kalra@gmail.com,{arashwan,wwhsu,ppoup...	2018	413
7,601	Balanced Policy Evaluation and Learning Nathan Kallus Cornell University and Cornell Tech kallus@cornell.edu Abstract We present a new approach to the problems of evaluating and learning personalized decision policies from observational data of past contexts, decisions, and outcomes. Only the outcome of t...	2018	414
7,602	Visual Memory for Robust Path Following Ashish Kumar∗ Saurabh Gupta∗ David Fouhey Sergey Levine Jitendra Malik University of California, Berkeley ashish_kumar@berkeley.edu, {sgupta, dfouhey, svlevine, malik}@eecs.berkeley.edu Abstract Humans routinely retrace paths in a novel environment both forwards...	2018	415
7,603	Representation Learning of Compositional Data Marta Avalos-Fernandez† Richard Nock‡§♮Cheng Soon Ong‡§ Julien Rouar† Ke Sun‡ ∗ †Université de Bordeaux, ‡Data61, §the Australian National University and ♮the University of Sydney first.last@{u-bordeaux.fr,data61.csiro.au} Abstract We consider the problem of lea...	2018	416
7,604	How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective Lei Wu School of Mathematical Sciences Peking University Beijing, 100081, P.R. China leiwu@pku.edu.cn Chao Ma Program in Applied and Computational Mathematics Princeton University Princeton, NJ 0854...	2018	417
7,605	TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Element AI boris@elementai.com Pau Rodriguez Element AI, CVC-UAB pau.rodriguez@elementai.com Alexandre Lacoste Element AI allac@elementai.com Abstract Few-shot learning has become essential for producing model...	2018	418
7,606	A Bayes–Sard Cubature Method Toni Karvonen Aalto University, Finland toni.karvonen@aalto.fi Chris. J. Oates Newcastle University, UK Alan Turing Institute, UK chris.oates@ncl.ac.uk Simo Särkkä Aalto University, Finland simo.sarkka@aalto.fi Abstract This paper focusses on the formulation of numer...	2018	419
7,607	Generalisation in humans and deep neural networks Robert Geirhos1-3∗§ Carlos R. Medina Temme1∗ Jonas Rauber2,3∗ Heiko H. Schütt1,4,5 Matthias Bethge2,6,7∗ Felix A. Wichmann1,2,6,8∗ 1Neural Information Processing Group, University of Tübingen 2Centre for Integrative Neuroscience, University of Tübingen ...	2018	42
7,608	Learning to Infer Graphics Programs from Hand-Drawn Images Kevin Ellis MIT ellisk@mit.edu Daniel Ritchie Brown University daniel_ritchie@brown.edu Armando Solar-Lezama MIT asolar@csail.mit.edu Joshua B. Tenenbaum MIT jbt@mit.edu Abstract We introduce a model that learns to convert simple h...	2018	420
7,609	Neural Guided Constraint Logic Programming for Program Synthesis Lisa Zhang1,2, Gregory Rosenblatt4, Ethan Fetaya1,2, Renjie Liao1,2,3, William E. Byrd4, Matthew Might4, Raquel Urtasun1,2,3, Richard Zemel1,2 1University of Toronto, 2Vector Institute, 3Uber ATG, 4University of Alabama at Birmingham 1{lczhang,e...	2018	421
7,610	Overcoming Language Priors in Visual Question Answering with Adversarial Regularization Sainandan Ramakrishnan Aishwarya Agrawal Stefan Lee Georgia Institute of Technology {sainandancv, aishwarya, steflee}@gatech.edu Abstract Modern Visual Question Answering (VQA) models have been shown to rely heavil...	2018	422
7,611	New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity Pan Zhou∗ Xiao-Tong Yuan† Jiashi Feng∗ ∗Learning & Vision Lab, National University of Singapore, Singapore † B-DAT Lab, Nanjing University of Information Science & Technology, Nanjing, China pzhou@u.nus.edu...	2018	423
7,612	Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms Ganesh Sundaramoorthi United Technologies Research Center East Hartford, CT 06118 sundarga1@utrc.utc.com Anthony Yezzi School of Electrical & Computer Engineering Georgia Institute of Technology, Atlanta, GA 30332 ayezzi...	2018	424
7,613	Transfer Learning from Speaker Veriﬁcation to Multispeaker Text-To-Speech Synthesis Ye Jia∗Yu Zhang∗Ron J. Weiss∗Quan Wang Jonathan Shen Fei Ren Zhifeng Chen Patrick Nguyen Ruoming Pang Ignacio Lopez Moreno Yonghui Wu Google Inc. {jiaye,ngyuzh,ronw}@google.com Abstract We describe a neural net...	2018	425
7,614	Learning to Solve SMT Formulas Mislav Balunovi´c, Pavol Bielik, Martin Vechev Department of Computer Science ETH Zürich Switzerland bmislav@ethz.ch, {pavol.bielik, martin.vechev}@inf.ethz.ch Abstract We present a new approach for learning to solve SMT formulas. We phrase the challenge of solving SMT for...	2018	426
7,615	Learning to Repair Software Vulnerabilities with Generative Adversarial Networks Jacob A. Harer1,2, Onur Ozdemir1, Tomo Lazovich3∗, Christopher P. Reale1, Rebecca L. Russell1, Louis Y. Kim1, Peter Chin2 1Draper, Cambridge, MA 2Department of Computer Science, Boston University, Boston, MA 3Lightmatter, Bosto...	2018	427
7,616	Algorithmic Linearly Constrained Gaussian Processes Markus Lange-Hegermann Department of Electrical Engineering and Computer Science Ostwestfalen-Lippe University of Applied Sciences Lemgo markus.lange-hegermann@hs-owl.de Abstract We algorithmically construct multi-output Gaussian process priors which sat...	2018	428
7,617	RenderNet: A deep convolutional network for differentiable rendering from 3D shapes Thu Nguyen-Phuoc University of Bath T.Nguyen.Phuoc@bath.ac.uk Chuan Li Lambda Labs c@lambdalabs.com Stephen Balaban Lambda Labs s@lambdalabs.com Yong-Liang Yang University of Bath Y.Yang@cs.bath.ac.uk Abstrac...	2018	429
7,618	Distributed Weight Consolidation: A Brain Segmentation Case Study Patrick McClure National Institute of Mental Health patrick.mcclure@nih.gov Charles Y. Zheng National Institute of Mental Health charles.zheng@nih.gov Jakub R. Kaczmarzyk Massachusetts Institute of Technology jakubk@mit.edu John A. ...	2018	43
7,619	Universal Growth in Production Economies Simina Brânzei Purdue University simina@purdue.edu Ruta Mehta University of Illinois, Urbana-Champaign rutamehta@illinois.edu Noam Nisan Hebrew University and Microsoft Research noam@cs.huji.ac.il Abstract We study a simple variant of the von Neumann model ...	2018	430
7,620	Neural Ordinary Differential Equations Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt*, David Duvenaud University of Toronto, Vector Institute Abstract We introduce a new family of deep neural network models. Instead of specifying a discre...	2018	431
7,621	MetaAnchor: Learning to Detect Objects with Customized Anchors Tong Yang∗† Xiangyu Zhang∗ Zeming Li∗ Wenqiang Zhang† Jian Sun∗ ∗Megvii Inc (Face++) {yangtong,zhangxiangyu,lizeming,sunjian}@megvii.com † Fudan University wqzhang@fudan.edu.cn Abstract We propose a novel and ﬂexible anchor mechanism...	2018	432
7,622	ChannelNets: Compact and Efﬁcient Convolutional Neural Networks via Channel-Wise Convolutions Hongyang Gao Texas A&M University College Station, TX hongyang.gao@tamu.edu Zhengyang Wang Texas A&M University College Station, TX zhengyang.wang@tamu.edu Shuiwang Ji Texas A&M University College Stati...	2018	433
7,623	On Controllable Sparse Alternatives to Softmax Anirban Laha1†∗ Saneem A. Chemmengath1∗ Priyanka Agrawal1 Mitesh M. Khapra2 Karthik Sankaranarayanan1 Harish G. Ramaswamy2 1 IBM Research 2 Robert Bosch Center for DS and AI, and Dept of CSE, IIT Madras Abstract Converting an n-dimensional vector to a p...	2018	434
7,624	Gaussian Process Conditional Density Estimation Vincent Dutordoir∗1 Hugh Salimbeni∗1,2 Marc Peter Deisenroth1,2 James Hensman1 1PROWLER.io, Cambridge, UK 2Imperial College London {vincent, hugh, marc, james}@prowler.io Abstract Conditional Density Estimation (CDE) models deal with estimating condition...	2018	435
7,625	Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images Andrei Zanﬁr2 Elisabeta Marinoiu2 Mihai Zanﬁr2 Alin-Ionut Popa2 Cristian Sminchisescu1,2 {andrei.zanfir, elisabeta.marinoiu, mihai.zanfir, alin.popa}@imar.ro, cristian.sminchisescu@math.lth.se 1Department of Mathematics, Faculty o...	2018	436
7,626	Learning Attentional Communication for Multi-Agent Cooperation Jiechuan Jiang Peking University jiechuan.jiang@pku.edu.cn Zongqing Lu⇤ Peking University zongqing.lu@pku.edu.cn Abstract Communication could potentially be an effective way for multi-agent cooperation. However, information sharing among...	2018	437
7,627	Speaker-Follower Models for Vision-and-Language Navigation Daniel Fried∗1, Ronghang Hu∗1, Volkan Cirik∗2, Anna Rohrbach1, Jacob Andreas1, Louis-Philippe Morency2, Taylor Berg-Kirkpatrick2, Kate Saenko3, Dan Klein∗∗1, Trevor Darrell∗∗1 1University of California, Berkeley 2Carnegie Mellon University 3Boston...	2018	438
7,628	Training DNNs with Hybrid Block Floating Point Mario Drumond Ecocloud EPFL mario.drumond@epfl.ch Tao Lin Ecocloud EPFL tao.lin@epfl.ch Martin Jaggi Ecocloud EPFL martin.jaggi@epfl.ch Babak Falsaﬁ Ecocloud EPFL babak.falsafi@epfl.ch Abstract The wide adoption of DNNs has given birth t...	2018	439
7,629	IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis Huaibo Huang, Zhihang Li, Ran He∗, Zhenan Sun, Tieniu Tan 1School of Artiﬁcial Intelligence, University of Chinese Academy of Sciences, Beijing, China 2Center for Research on Intelligent Perception and Computing, CASIA, Beijing, C...	2018	44
7,630	Coupled Variational Bayes via Optimization Embedding ∗Bo Dai1,2, ∗Hanjun Dai1, Niao He3, Weiyang Liu1, Zhen Liu1, Jianshu Chen4, Lin Xiao5, Le Song1,6 1Georgia Institute of Technology, 2Google Brain, 3University of Illinois at Urbana Champaign 4Tencent AI, 5Microsoft Research, 6Ant Financial Abstract Vari...	2018	440
7,631	Multi-domain Causal Structure Learning in Linear Systems AmirEmad Ghassami⇤, Negar Kiyavash†, Biwei Huang‡, Kun Zhang‡ ⇤Department of ECE, University of Illinois at Urbana-Champaign, Urbana, IL, USA. †School of ISyE and ECE, Georgia Institute of Technology, Atlanta, GA, USA. ‡Department of Philosophy, Carnegi...	2018	441
7,632	Policy Optimization via Importance Sampling Alberto Maria Metelli Politecnico di Milano, Milan, Italy albertomaria.metelli@polimi.it Matteo Papini Politecnico di Milano, Milan, Italy matteo.papini@polimi.it Francesco Faccio Politecnico di Milano, Milan, Italy IDSIA, USI-SUPSI, Lugano, Switzerland fr...	2018	442
7,633	Task-Driven Convolutional Recurrent Models of the Visual System Aran Nayebi1,, Daniel Bear2,, Jonas Kubilius5,7,*, Kohitij Kar5, Surya Ganguli4,8, David Sussillo8, James J. DiCarlo5,6, and Daniel L. K. Yamins2,3,9 1Neurosciences PhD Program, Stanford University, Stanford, CA 94305 2Department of Psychology,...	2018	443
7,634	Contrastive Learning from Pairwise Measurements Yi Chen† Zhuoran Yang‡ Yuchen Xie† Zhaoran Wang† †Northwestern University ‡Princeton University {yichen2016, ycxie}@u.northwestern.edu zy6@princeton.edu zhaoran.wang@northwestern.edu Abstract Learning from pairwise measurements naturally arises fro...	2018	444
7,635	Regret Bounds for Online Portfolio Selection with a Cardinality Constraint Shinji Ito NEC Corporation Daisuke Hatano RIKEN AIP Hanna Sumita Tokyo Metropolitan University Akihiro Yabe NEC Corporation Takuro Fukunaga RIKEN AIP, JST PRESTO Naonori Kakimura Keio University Ken-ichi Kawarabayashi...	2018	445
7,636	Hunting for Discriminatory Proxies in Linear Regression Models Samuel Yeom Carnegie Mellon University syeom@cs.cmu.edu Anupam Datta Carnegie Mellon University danupam@cmu.edu Matt Fredrikson Carnegie Mellon University mfredrik@cs.cmu.edu Abstract A machine learning model may exhibit discriminati...	2018	446
7,637	Entropy and mutual information in models of deep neural networks Marylou Gabrié∗1, Andre Manoel2,3, Clément Luneau4, Jean Barbier1,4,5, Nicolas Macris4, Florent Krzakala1,6,7 and Lenka Zdeborová3,6 1Laboratoire de Physique Statistique, École Normale Supérieure, PSL University 2Parietal Team, INRIA, CEA, Unive...	2018	447
7,638	Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seoul National University Seoul, Korea kjh91@snu.ac.kr SeongUk Park Seoul National University Seoul, Korea swpark0703@snu.ac.kr Nojun Kwak Seoul National University Seoul, Korea nojunk@snu.ac.kr Abstract Many ...	2018	448
7,639	A Simple Cache Model for Image Recognition Emin Orhan aeminorhan@gmail.com Baylor College of Medicine & New York University Abstract Training large-scale image recognition models is computationally expensive. This raises the question of whether there might be simple ways to improve the test performance of...	2018	449
7,640	MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization Ian E.H. Yen ∗† Wei-Cheng Lee ‡ Sung-En Chang ‡ Kai Zhong § Pradeep Ravikumar ∗ Shou-De Lin ‡ ∗Carnegie Mellon University † Snap Inc. ‡ National Taiwan University § Amazon Inc. Abstract We consider a generalization of...	2018	45
7,641	Learning Attractor Dynamics for Generative Memory Yan Wu, Greg Wayne, Karol Gregor, Timothy Lillicrap DeepMind {yanwu,gregwayne,karolg,countzero}@google.com Abstract A central challenge faced by memory systems is the robust retrieval of a stored pattern in the presence of interference due to other stored ...	2018	450
7,642	Quadrature-based features for kernel approximation Marina Munkhoeva† Yermek Kapushev† Evgeny Burnaev† Ivan Oseledets†,‡ †Skolkovo Institute of Science and Technology Moscow, Russia ‡Institute of Numerical Mathematics of the Russian Academy of Sciences Moscow, Russia Abstract We consider the problem ...	2018	451
7,643	Efﬁcient Algorithms for Non-convex Isotonic Regression through Submodular Optimization Francis Bach Inria Département d’Informatique de l’Ecole Normale Supérieure PSL Research University, Paris, France francis.bach@ens.fr Abstract We consider the minimization of submodular functions subject to ordering ...	2018	452
7,644	Deep Neural Nets with Interpolating Function as Output Activation Bao Wang Department of Mathematics University of California, Los Angeles wangbaonj@gmail.com Xiyang Luo Department of Mathematics University of California, Los Angeles xylmath@gmail.com Zhen Li Department of Mathematics HKUST, Hon...	2018	453
7,645	Where Do You Think You’re Going?: Inferring Beliefs about Dynamics from Behavior Siddharth Reddy, Anca D. Dragan, Sergey Levine Department of Electrical Engineering and Computer Science University of California, Berkeley {sgr,anca,svlevine}@berkeley.edu Abstract Inferring intent from observed behavior has...	2018	454
7,646	Image Inpainting via Generative Multi-column Convolutional Neural Networks Yi Wang1 Xin Tao1,2 Xiaojuan Qi1 Xiaoyong Shen2 Jiaya Jia1,2 1The Chinese University of Hong Kong 2YouTu Lab, Tencent {yiwang, xtao, xjqi, leojia}@cse.cuhk.edu.hk goodshenxy@gmail.com Abstract In this paper, we propose a ...	2018	455
7,647	Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms Vincent Cohen-Addad˚ Sorbonne Universités, UPMC Univ Paris 06, CNRS, LIP6 vincent.cohen-addad@lip6.fr Varun Kanade: University of Oxford varunk@cs.ox.ac.uk Frederik Mallmann-Trenn; MIT mallmann@mit.edu Abstract Kleinberg [2...	2018	456
7,648	A Statistical Recurrent Model on the Manifold of Symmetric Positive Deﬁnite Matrices∗ Rudrasis Chakraborty† Chun-Hao Yang†♯ Xingjian Zhen‡♯ Monami Banerjee† Derek Archer† David Vaillancourt† Vikas Singh‡ Baba C. Vemuri† †University of Florida, Gainesville, USA ‡University of Wisconsin Madison, USA...	2018	457
7,649	Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes∗ Hassan Ashtiani Department of Computing and Software McMaster University, and Vector Institute, ON, Canada zokaeiam@mcmaster.ca Shai Ben-David School of Computer Science University of Waterloo, ...	2018	458
7,650	Object-Oriented Dynamics Predictor Guangxiang Zhu, Zhiao Huang, and Chongjie Zhang Institute for Interdisciplinary Information Sciences Tsinghua University, Beijing, China guangxiangzhu@outlook.com,hza14@mails.tsinghua.edu.cn,chongjie@tsinghua.edu.cn Abstract Generalization has been one of the major challen...	2018	459
7,651	A dual framework for low-rank tensor completion Madhav Nimishakavi∗, Pratik Jawanpuria†, Bamdev Mishra† ∗Indian Institute of Science, India †Microsoft, India madhav@iisc.ac.in, {pratik.jawanpuria,bamdevm}@microsoft.com Abstract One of the popular approaches for low-rank tensor completion is to use the laten...	2018	46
7,652	Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions Mingrui Liu†, Xiaoxuan Zhang†, Lijun Zhang‡, Rong Jin♮, Tianbao Yang† †Department of Computer Science, The University of Iowa, Iowa City, IA 52242, USA ‡National Key Laboratory for Novel Software Technology, Nanjing University, C...	2018	460
7,653	Adversarial Multiple Source Domain Adaptation Han Zhao†⇤, Shanghang Zhang†‡⇤, Guanhang Wu† Jo˜ao P. Costeira‡, Jos´e M. F. Moura†, Geoffrey J. Gordon† †Carnegie Mellon University ‡IST, Universidade de Lisboa {hzhao1,shanghaz,guanhanw,moura,ggordon}@andrew.cmu.edu, jpc@isr.ist.utl.pt Abstract While domai...	2018	461
7,654	To Trust Or Not To Trust A Classiﬁer Heinrich Jiang∗ Google Research heinrichj@google.com Been Kim Google Brain beenkim@google.com Melody Y. Guan† Stanford University mguan@stanford.edu Maya Gupta Google Research mayagupta@google.com Abstract Knowing when a classiﬁer’s prediction can be trus...	2018	462
7,655	Deep Reinforcement Learning of Marked Temporal Point Processes Utkarsh Upadhyay MPI-SWS utkarshu@mpi-sws.org Abir De MPI-SWS ade@mpi-sws.org Manuel Gomez-Rodrizuez MPI-SWS manuelgr@mpi-sws.org Abstract In a wide variety of applications, humans interact with a complex environment by means of as...	2018	463
7,656	Learning to Play With Intrinsically-Motivated, Self-Aware Agents Nick Haber1,2,3,⇤, Damian Mrowca4,⇤, Stephanie Wang4 , Li Fei-Fei4 , and Daniel L. K. Yamins1,4,5 Departments of Psychology1, Pediatrics2, Biomedical Data Science3, Computer Science4, and Wu Tsai Neurosciences Institute5, Stanford, CA 94305 {n...	2018	464
7,657	Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization Bargav Jayaraman Department of Computer Science University of Virginia Charlottesville, VA 22903 bj4nq@virginia.edu Lingxiao Wang Department of Computer Science University of California, Los Angeles Los Angeles, CA...	2018	465
7,658	Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces Motoya Ohnishi Keio Univ., KTH, RIKEN motoya.ohnishi@riken.jp Masahiro Yukawa Keio Univ., RIKEN yukawa@elec.keio.ac.jp Mikael Johansson KTH mikaelj@ee.kth.se Masashi Sugiyama RIKEN, Univ. Tokyo masashi.sugiyama@r...	2018	466
7,659	Hybrid Knowledge Routed Modules for Large-scale Object Detection Chenhan Jiang∗ Sun Yat-Sen University jchcyan@gmail.com Hang Xu∗ Huawei Noah’s Ark Lab xbjxh@live.com Xiaodan Liang† School of Intelligent Systems Engineering Sun Yat-Sen University xdliang328@gmail.com Liang Lin Sun Yat-Sen Univ...	2018	467
7,660	Supervising Unsupervised Learning Vikas K. Garg CSAIL, MIT vgarg@csail.mit.edu Adam Kalai Microsoft Research noreply@microsoft.com Abstract We introduce a framework to transfer knowledge acquired from a repository of (heterogeneous) supervised datasets to new unsupervised datasets. Our perspective a...	2018	468
7,661	Overlapping Clustering Models, and One (class) SVM to Bind Them All Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti The University of Texas at Austin xmao@cs.utexas.edu, purna.sarkar@austin.utexas.edu, deepay@utexas.edu Abstract People belong to multiple communities, words belong to multiple topics, and ...	2018	469
7,662	Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras, Toniann Pitassi & Richard Zemel University of Toronto Vector Institute {madras,toni,zemel}@cs.toronto.edu Abstract In many machine learning applications, there are multiple decision-makers involved, both automated an...	2018	47
7,663	BRITS: Bidirectional Recurrent Imputation for Time Series Wei Cao∗ Tsinghua University Bytedance AI Lab cao-13@tsinghua.org.cn Dong Wang Duke University dong.wang363@duke.edu Jian Li Tsinghua University lijian83@mail.tsinghua.edu.cn Hao Zhou Bytedance AI Lab haozhou0806@gmail.com Yitan Li ...	2018	470
7,664	Improving Online Algorithms via ML Predictions Ravi Kumar Google Mountain View, CA ravi.k53@gmail.com Manish Purohit Google Mountain View, CA mpurohit@google.com Zoya Svitkina Google Mountain View, CA zoya@cs.cornell.edu Abstract In this work we study the problem of using machine-learned pre...	2018	471
7,665	Learning Latent Subspaces in Variational Autoencoders Jack Klys, Jake Snell, Richard Zemel University of Toronto Vector Institute {jackklys,jsnell,zemel}@cs.toronto.edu Abstract Variational autoencoders (VAEs) [10, 20] are widely used deep generative models capable of learning unsupervised latent repres...	2018	472
7,666	VideoCapsuleNet: A Simpliﬁed Network for Action Detection Kevin Duarte kevin_duarte@knights.ucf.edu Yogesh S Rawat yogesh@crcv.ucf.edu Mubarak Shah shah@crcv.ucf.edu Center for Research in Computer Vision University of Central Florida Orlando, FL 32816 Abstract The recent advances in Deep Convol...	2018	473
7,667	Causal Inference via Kernel Deviance Measures Jovana Mitrovic∗ Dino Sejdinovic Yee Whye Teh∗ Department of Statistics, University of Oxford [mitrovic, dino.sejdinovic, y.w.teh]@stats.ox.ac.uk Abstract Discovering the causal structure among a set of variables is a fundamental problem in many areas of sci...	2018	474
7,668	Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek∗§ † Hyunjik Kim† Ingmar Posner§ Yee Whye Teh† § Applied Artiﬁcial Intelligence Lab Oxford Robotics Institute University of Oxford † Department of Statistics University of Oxford Abstract We present Sequenti...	2018	475
7,669	Learning with SGD and Random Features Luigi Carratino⇤ University of Genoa, Genoa, Italy Alessandro Rudi INRIA – Sierra Project-team, École Normale Supérieure, Paris Lorenzo Rosasco University of Genoa, LCSL – IIT & MIT Abstract Sketching and stochastic gradient methods are arguably the most commo...	2018	476
7,670	Boolean Decision Rules via Column Generation Sanjeeb Dash, Oktay Günlük, Dennis Wei IBM Research Yorktown Heights, NY 10598, USA {sanjeebd,gunluk,dwei}@us.ibm.com Abstract This paper considers the learning of Boolean rules in either disjunctive normal form (DNF, OR-of-ANDs, equivalent to decision rule set...	2018	477
7,671	Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability Michael Tsang1, Hanpeng Liu1, Sanjay Purushotham1, Pavankumar Murali2, and Yan Liu1 1University of Southern California 2IBM T.J. Watson Research Center {tsangm,hanpengl,spurusho,yanliu.cs}@usc.edu, pavanm...	2018	478
7,672	Boosting Black Box Variational Inference Francesco Locatello⇤1,2, Gideon Dresdner⇤2, Rajiv Khanna3, Isabel Valera1, and Gunnar Rätsch2 1Max-Planck Institute for Intelligent Systems, Germany 2Dept. for Computer Science, ETH Zurich, Universitätsstrasse 6, 8092 Zurich, Switzerland. 3The University of Texas at Aust...	2018	479
7,673	Enhancing the Accuracy and Fairness of Human Decision Making Isabel Valera∗ MPI for Intelligent Systems ivalera@tue.mpg.de Adish Singla† MPI-SWS adishs@mpi-sws.org Manuel Gomez-Rodriguez‡ MPI-SWS manuelgr@mpi-sws.org Abstract Societies often rely on human experts to take a wide variety of decisi...	2018	48
7,674	Transfer of Deep Reactive Policies for MDP Planning Aniket Bajpai, Sankalp Garg, Mausam Indian Institute of Technology, Delhi New Delhi, India {quantum.computing96, sankalp2621998}@gmail.com, mausam@cse.iitd.ac.in Abstract Domain-independent probabilistic planners input an MDP description in a factored re...	2018	480
7,675	Variational Bayesian Monte Carlo Luigi Acerbi∗ Department of Basic Neuroscience University of Geneva luigi.acerbi@unige.ch Abstract Many probabilistic models of interest in scientiﬁc computing and machine learning have expensive, black-box likelihoods that prevent the application of standard techniques ...	2018	481
7,676	Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming Bart van Merriënboer MILA, Google Brain bartvm@google.com Dan Moldovan Google Brain mdan@google.com Alexander B Wiltschko Google Brain alexbw@google.com Abstract The need to efﬁciently c...	2018	482
7,677	Learning Task Speciﬁcations from Demonstrations Marcell Vazquez-Chanlatte1, Susmit Jha2, Ashish Tiwari2, Mark K. Ho1, Sanjit A. Seshia1 1 University of California, Berkeley 2 SRI International, Menlo Park {marcell.vc, sseshia, mark_ho}@eecs.berkeley.edu {susmit.jha, tiwari}@sri.com Abstract Real-world app...	2018	483
7,678	Sparse PCA from Sparse Linear Regression Guy Bresler MIT guy@mit.edu Sung Min Park MIT sp765@mit.edu M˘ad˘alina Persu Two Sigma⇤, MIT mpersu@mit.edu Abstract Sparse Principal Component Analysis (SPCA) and Sparse Linear Regression (SLR) have a wide range of applications and have attracted a treme...	2018	484
7,679	GILBO: One Metric to Measure Them All Alexander A. Alemi∗, Ian Fischer∗ Google AI {alemi,iansf}@google.com Abstract We propose a simple, tractable lower bound on the mutual information contained in the joint generative density of any latent variable generative model: the GILBO (Generative Information Lowe...	2018	485
7,680	Maximizing Induced Cardinality Under a Determinantal Point Process Jennifer Gillenwater Google Research NYC jengi@google.com Alex Kulesza Google Research NYC kulesza@google.com Zelda Mariet Massachusetts Institute of Technology zelda@csail.mit.edu Sergei Vassilvitskii Google Research NYC serge...	2018	486
7,681	FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction Shuyang Sun1, Jiangmiao Pang3, Jianping Shi2, Shuai Yi2, Wanli Ouyang1 1The University of Sydney 2SenseTime Research 3Zhejiang University shuyang.sun@sydney.edu.au Abstract The basic principles in designing convolutional neural ...	2018	487
7,682	Simple random search of static linear policies is competitive for reinforcement learning Horia Mania hmania@berkeley.edu Aurelia Guy lia@berkeley.edu Benjamin Recht brecht@berkeley.edu Department of Electrical Engineering and Computer Science University of California, Berkeley Abstract Model-free ...	2018	488
7,683	Automatic differentiation in ML: Where we are and where we should be going Bart van Merriënboer Mila, Google Brain bartvm@google.com Olivier Breuleux Mila breuleuo@iro.umontreal.ca Arnaud Bergeron Mila bergearn@iro.umontreal.ca Pascal Lamblin Mila, Google Brain lamblinp@google.com Abstract ...	2018	489
7,684	Computing Higher Order Derivatives of Matrix and Tensor Expressions Sören Laue Friedrich-Schiller-Universität Jena Germany soeren.laue@uni-jena.de Matthias Mitterreiter Friedrich-Schiller-Universität Jena Germany matthias.mitterreiter@uni-jena.de Joachim Giesen Friedrich-Schiller-Universität Jena ...	2018	49
7,685	Improving Neural Program Synthesis with Inferred Execution Traces Richard Shin∗ UC Berkeley ricshin@cs.berkeley.edu Illia Polosukhin NEAR Protocol illia@nearprotocol.com Dawn Song UC Berkeley dawnsong@cs.berkeley.edu Abstract The task of program synthesis, or automatically generating programs th...	2018	490
7,686	Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans University of Toronto trefor.evans@mail.utoronto.ca Prasanth B. Nair University of Toronto pbn@utias.utoronto.ca Abstract We explore a new research direction in Bayesian variational inference with discrete l...	2018	491
7,687	The Limits of Post-Selection Generalization Kobbi Nissim∗ Georgetown University kobbi.nissim@georgetown.edu Adam Smith† Boston University ads22@bu.edu Thomas Steinke IBM Research – Almaden posel@thomas-steinke.net Uri Stemmer‡ Ben-Gurion University u@uri.co.il Jonathan Ullman§ Northeastern U...	2018	492
7,688	Revisiting (ϵ, γ, τ)-similarity learning for domain adaptation Soﬁen Dhouib Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69100, LYON, France sofiane.dhouib@creatis.insa-lyon.fr Ievgen Redko∗ Univ Lyon, UJM-Saint-Etienne, CNRS, Institut...	2018	493
7,689	Learning and Testing Causal Models with Interventions Jayadev Acharya∗ School of ECE Cornell University acharya@cornell.edu Arnab Bhattacharyya∗ National University of Singapore & Indian Institute of Science arnabb@iisc.ac.in Constantinos Daskalakis∗ EECS MIT costis@csail.mit.edu Saravanan K...	2018	494
7,690	Evolved Policy Gradients Rein Houthooft∗, Richard Y. Chen∗, Phillip Isola∗†×, Bradly C. Stadie∗†, Filip Wolski∗, Jonathan Ho∗†, Pieter Abbeel† OpenAI∗, UC Berkeley†, MIT× Abstract We propose a metalearning approach for learning gradient-based reinforcement learning (RL) algorithms. The idea is to evolve a d...	2018	495
7,691	Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation Chaitanya K. Ryali Department of Computer Science and Engineering University of California San Diego 9500 Gilman Drive La Jolla, CA 92093 rckrishn@eng.ucsd.edu Gautam Reddy Department of Physics Un...	2018	496
7,692	Distributionally Robust Graphical Models Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart Department of Computer Science, University of Illinois at Chicago Chicago, IL 60607 {rfatho2, arezae4, mbashi4, zhangx, bziebart}@uic.edu Abstract In many structured prediction problem...	2018	497
7,693	Natasha 2: Faster Non-Convex Optimization Than SGD Zeyuan Allen-Zhu∗ Microsoft Research AI zeyuan@csail.mit.edu Abstract We design a stochastic algorithm to ﬁnd ε-approximate local minima of any smooth nonconvex function in rate O(ε−3.25), with only oracle access to stochastic gradients. The best result b...	2018	498
7,694	Iterative Value-Aware Model Learning Amir-massoud Farahmand∗ Vector Institute, Toronto, Canada farahmand@vectorinstitute.ai Abstract This paper introduces a model-based reinforcement learning (MBRL) framework that incorporates the underlying decision problem in learning the transition model of the environ...	2018	499
7,695	Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies Sungryull Sohn University of Michigan srsohn@umich.edu Junhyuk Oh∗ University of Michigan junhyuk@google.com Honglak Lee Google Brain University of Michigan honglak@google.com Abstract We introduce a new...	2018	5
7,696	Efﬁcient online algorithms for fast-rate regret bounds under sparsity Pierre Gaillard INRIA, ENS, PSL Research University Paris, France pierre.gaillard@inria.fr Olivier Wintenberger Sorbonne Université, CNRS, LPSM Paris, France olivier.wintenberger@upmc.fr Abstract We consider the problem of onlin...	2018	50
7,697	PCA of high dimensional random walks with comparison to neural network training Joseph M. Antognini∗ Whisper AI joe.antognini@gmail.com Jascha Sohl-Dickstein Google Brain jaschasd@google.com Abstract One technique to visualize the training of neural networks is to perform PCA on the parameters over ...	2018	500
7,698	Library Learning for Neurally-Guided Bayesian Program Induction Kevin Ellis MIT ellisk@mit.edu Lucas Morales MIT lucasem@mit.edu Mathias Sablé-Meyer ENS Paris-Saclay mathsm@mit.edu Armando Solar-Lezama MIT asolar@csail.mit.edu Joshua B. Tenenbaum MIT jbt@mit.edu Abstract Successful a...	2018	501
7,699	Streaming Kernel PCA with ˜O(√n) Random Features Enayat Ullah † enayat@jhu.edu Poorya Mianjy † mianjy@jhu.edu Teodor V. Marinov † tmarino2@jhu.edu Raman Arora † arora@cs.jhu.edu Abstract We study the statistical and computational aspects of kernel principal component analysis using random Fourier ...	2018	502

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