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NIPS · 24.8k rows

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8,900	Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees Ruqi Zhang Cornell University rz297@cornell.edu Christopher De Sa Cornell University cdesa@cs.cornell.edu Abstract Gibbs sampling is a Markov chain Monte Carlo method that is often used for learning and inference on graphical mod...	2019	299
8,901	XNAS: Neural Architecture Search with Expert Advice Niv Nayman∗, Asaf Noy∗, Tal Ridnik∗, Itamar Friedman, Rong Jin, Lihi Zelnik-Manor Machine Intelligence Technology, Alibaba Group {niv.nayman,asaf.noy,tal.ridnik,itamar.friedman,jinrong.jr,lihi.zelnik} @alibaba-inc.com Abstract This paper introduces a nov...	2019	3
8,902	SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers Igor Fedorov Arm ML Research igor.fedorov@arm.com Ryan P. Adams Princeton University rpa@princeton.edu Matthew Mattina Arm ML Research matthew.mattina@arm.com Paul N. Whatmough Arm ML Research paul.whatmough@a...	2019	30
8,903	Semi-Parametric Dynamic Contextual Pricing Virag Shah Management Science and Engineering Stanford University California, USA 94305 virag@stanford.edu Jose Blanchet Management Science and Engineering Stanford University California, USA 94305 jblanche@stanford.edu Ramesh Johari Management Science ...	2019	300
8,904	Theoretical evidence for adversarial robustness through randomization Rafael Pinot1,2 Laurent Meunier1,3 Alexandre Araujo1,4 Hisashi Kashima5,6 Florian Yger1 Cédric Gouy-Pailler2 Jamal Atif1 1Université Paris-Dauphine, PSL Research University, CNRS, LAMSADE, Paris, France 2Institut LIST, CEA, Univer...	2019	301
8,905	On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks Sunil Thulasidasan⇤⇤,1,2, Gopinath Chennupati1, Jeff Bilmes2, Tanmoy Bhattacharya1, Sarah Michalak1 1Los Alamos National Laboratory 2Department of Electrical and Computer Engineering, University of Washington Abstrac...	2019	302
8,906	Thompson Sampling for Multinomial Logit Contextual Bandits Min-hwan Oh Columbia University New York, NY m.oh@columbia.edu Garud Iyengar Columbia University New York, NY garud@ieor.columbia.edu Abstract We consider a dynamic assortment selection problem where the goal is to offer a sequence of as...	2019	303
8,907	Symmetry-Based Disentangled Representation Learning requires Interaction with Environments Hugo Caselles-Dupré1,2, Michael Garcia-Ortiz2, David Filliat1 1Flowers Laboratory (ENSTA Paris & INRIA), 2AI Lab (Softbank Robotics Europe) caselles@ensta.fr, mgarciaortiz@softbankrobotics.com, david.ﬁlliat@ensta.fr Abs...	2019	304
8,908	Mining GOLD Samples for Conditional GANs Sangwoo Mo∗ KAIST swmo@kaist.ac.kr Chiheon Kim Kakao Brain chiheon.kim@kakaobrain.com Sungwoong Kim Kakao Brain swkim@kakaobrain.com Minsu Cho POSTECH mscho@postech.ac.kr Jinwoo Shin KAIST, AItrics jinwoos@kaist.ac.kr Abstract Conditional genera...	2019	305
8,909	Few-shot Video-to-Video Synthesis Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro NVIDIA Corporation {tingchunw,mingyul,atao,guilinl,jkautz,bcatanzaro}@nvidia.com Abstract Video-to-video synthesis (vid2vid) aims at converting an input semantic video, such as videos of human p...	2019	306
8,910	Unlocking Fairness: a Trade-off Revisited Michael Wick, Swetasudha Panda, Jean-Baptiste Tristan {michael.wick,swetasudha.panda,jean.baptiste.tristan}@oracle.com Oracle Labs, Burlington, MA. Abstract The prevailing wisdom is that a model’s fairness and its accuracy are in tension with one another. However, t...	2019	307
8,911	Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers Liwei Wu Department of Statistics University of California, Davis Davis, CA 95616 liwu@ucdavis.edu Shuqing Li Department of Computer Science University of California, Davis Davis, CA 95616 qshli@ucdavis.edu Cho-Jui Hsie...	2019	308
8,912	An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors Joshua Allen Harsha Nori Bolin Ding∗ Olga Ohrimenko Microsoft Janardhan Kulkarni Sergey Yekhanin Abstract Differential privacy has emerged as the main deﬁnition for private data analysis and machine learning. T...	2019	309
8,913	Capacity Bounded Differential Privacy Kamalika Chaudhuri UC San Diego kamalika@cs.ucsd.edu Jacob Imola UC San Diego jimola@eng.ucsd.edu Ashwin Machanavajjhala Duke University ashwin@cs.duke.edu Abstract Differential privacy has emerged as the gold standard for measuring the risk posed by an algo...	2019	31
8,914	Implicit Generation and Modeling with Energy-Based Models Yilun Du ∗ MIT CSAIL Igor Mordatch Google Brain Abstract Energy based models (EBMs) are appealing due to their generality and simplicity in likelihood modeling, but have been traditionally difﬁcult to train. We present techniques to scale MCMC ...	2019	310
8,915	Evaluating Protein Transfer Learning with TAPE Roshan Rao* UC Berkeley roshan_rao@berkeley.edu Nicholas Bhattacharya* UC Berkeley nick_bhat@berkeley.edu Neil Thomas* UC Berkeley nthomas@berkeley.edu Yan Duan covariant.ai rocky@covariant.ai Xi Chen covariant.ai peter@covariant.ai John Can...	2019	311
8,916	Recurrent Space-time Graph Neural Networks Andrei Nicolicioiu∗, Iulia Duta∗ Bitdefender, Romania anicolicioiu, iduta@bitdefender.com Marius Leordeanu Bitdefender, Romania Institute of Mathematics of the Romanian Academy University "Politehnica" of Bucharest marius.leordeanu@imar.ro Abstract Learning...	2019	312
8,917	Singleshot : a scalable Tucker tensor decomposition Abraham Traoré LITIS EA4108 University of Rouen Normandy abraham.traore@etu.univ-rouen.fr Maxime Bérar LITIS EA4108 University of Rouen Normandy maxime.berar@univ-rouen.fr Alain Rakotomamonjy LITIS EA4108 University of Rouen Normandy Criteo AI ...	2019	313
8,918	Secretary Ranking with Minimal Inversions Sepehr Assadi Rutgers University sepehr.assadi@rutgers.edu Eric Balkanski Harvard University ebalkans@gmail.com Renato Paes Leme Google Research renatoppl@google.com Abstract We study a secretary problem which captures the task of ranking in online setting...	2019	314
8,919	Policy Continuation with Hindsight Inverse Dynamics Hao Sun1, Zhizhong Li1, Xiaotong Liu2, Dahua Lin1, Bolei Zhou1 1The Chinese University of Hong Kong, 2Peking University Abstract Solving goal-oriented tasks is an important but challenging problem in reinforcement learning (RL). For such tasks, the rewards are...	2019	315
8,920	A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off Yaniv Blumenfeld Technion, Israel yanivblm6@gmail.com Dar Gilboa Columbia University dargilboa@gmail.com Daniel Soudry Technion, Israel daniel.soudry@gmail.com Abstract Reducing the precision of weights and activati...	2019	316
8,921	Exponentially convergent stochastic k-PCA without variance reduction Cheng Tang Amazon AI ∗ New York, NY, 10001 tcheng@amazon.com Abstract We present Matrix Krasulina, an algorithm for online k-PCA, by generalizing the classic Krasulina’s method [1] from vector to matrix case. We show, both theoretica...	2019	317
8,922	DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction Weiyue Wang,1 Qiangeng Xu,1 Duygu Ceylan2 Radomir Mech2 Ulrich Neumann1 1University of Southern California 2Adobe Los Angeles, California San Jose, California {weiyuewa,qiangenx,uneumann}@usc.edu {ceylan,rmech}@...	2019	318
8,923	Personalizing Many Decisions with High-Dimensional Covariates Nima Hamidi∗ Mohsen Bayati† Kapil Gupta‡ Abstract We consider the k-armed stochastic contextual bandit problem with d dimensional features, when both k and d can be large. To the best of our knowledge, all existing algorithms for this problem...	2019	319
8,924	Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea∗ University of Toronto, Vector Institute Mahdi Haghifam∗ University of Toronto, Element AI Gintare Karolina Dziugaite Element AI Ashish Khisti University of Toronto Daniel M. Roy University of Toro...	2019	32
8,925	Universal Approximation of Input-Output Maps by Temporal Convolutional Nets Joshua Hanson University of Illinois Urbana, IL 61801 jmh4@illinois.edu Maxim Raginsky University of Illinois Urbana, IL 61801 maxim@illinois.edu Abstract There has been a recent shift in sequence-to-sequence modeling from...	2019	320
8,926	Equipping Experts/Bandits with Long-term Memory Kai Zheng1,2 zhengk92@pku.edu.cn Haipeng Luo3 haipengl@usc.edu Ilias Diakonikolas4 ilias.diakonikolas@gmail.com Liwei Wang1,2 wanglw@cis.pku.edu.cn Abstract We propose the ﬁrst reduction-based approach to obtaining long-term memory guarantees for onl...	2019	321
8,927	Function-Space Distributions over Kernels Gregory W. Benton∗1 Wesley J. Maddox∗2 Jayson P. Salkey∗1 Júlio Albinati‡3 Andrew Gordon Wilson1,2 1Courant Institute of Mathematical Sciences, New York University 2Center for Data Science, New York University 3Microsoft Abstract Gaussian processes are ﬂexib...	2019	322
8,928	Fully Neural Network based Model for General Temporal Point Processes Takahiro Omi The University of Tokyo, RIKEN AIP takahiro.omi.em@gmail.com Naonori Ueda NTT Communication Science Laboratories, RIKEN AIP naonori.ueda.fr@hco.ntt.co.jp Kazuyuki Aihara The University of Tokyo aihara@sat.t.u-tokyo.ac...	2019	323
8,929	Splitting Steepest Descent for Growing Neural Architectures Qiang Liu UT Austin lqiang@cs.utexas.edu Lemeng Wu * UT Austin lmwu@cs.utexas.edu Dilin Wang ⇤ UT Austin dilin@cs.utexas.edu Abstract We develop a progressive training approach for neural networks which adaptively grows the network st...	2019	324
8,930	Improving Textual Network Learning with Variational Homophilic Embeddings Wenlin Wang1, Chenyang Tao1, Zhe Gan2, Guoyin Wang1, Liqun Chen1 Xinyuan Zhang1, Ruiyi Zhang1, Qian Yang1, Ricardo Henao1, Lawrence Carin1 1Duke University, 2Microsoft Dynamics 365 AI Research wenlin.wang@duke.edu Abstract The perfo...	2019	325
8,931	Deep Supervised Summarization: Algorithm and Application to Learning Instructions Chengguang Xu Khoury College of Computer Sciences Northeastern University Boston, MA 02115 xu.cheng@husky.neu.edu Ehsan Elhamifar Khoury College of Computer Sciences Northeastern University Boston, MA 02115 eelhami@c...	2019	326
8,932	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting Rajat Sen1, Hsiang-Fu Yu1, and Inderjit Dhillon2 1Amazon 2Amazon and UT Austin Abstract Forecasting high-dimensional time series plays a crucial role in many applications such as demand forecasting an...	2019	327
8,933	Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso Quentin Bertrand ∗ Université Paris Saclay, Inria, CEA Palaiseau, 91120, France quentin.bertrand@inria.fr Mathurin Massias ∗ Université Paris Saclay, Inria, CEA Palaiseau, 91120, France mathurin.massias@inri...	2019	328
8,934	PAC-Bayes under potentially heavy tails Matthew J. Holland Institute of Scientiﬁc and Industrial Research Osaka University matthew-h@ar.sanken.osaka-u.ac.jp Abstract We derive PAC-Bayesian learning guarantees for heavy-tailed losses, and obtain a novel optimal Gibbs posterior which enjoys ﬁnite-sample exc...	2019	329
8,935	Efﬁcient Algorithms for Smooth Minimax Optimization Kiran Koshy Thekumprampil University of Illinois at Urbana-Champaign thekump2@illinois.edu Prateek Jain Microsoft Research, India prajain@microsoft.com Praneeth Netrapalli Microsoft Research, India praneeth@microsoft.com Sewoong Oh University o...	2019	33
8,936	Provably Robust Deep Learning via Adversarially Trained Smoothed Classiﬁers Hadi Salman†, Greg Yang§, Jerry Li, Pengchuan Zhang∗, Huan Zhang∗, Ilya Razenshteyn∗, Sébastien Bubeck∗ Microsoft Research AI {hadi.salman, gregyang, jerrl, penzhan, t-huzhan, ilyaraz, sebubeck }@microsoft.com Abstract Recent wo...	2019	330
8,937	Regression Planning Networks Danfei Xu Stanford University Roberto Martín-Martín Stanford University De-An Huang Stanford University Yuke Zhu Stanford University NVIDIA Research Silvio Savarese Stanford University Li Fei-Fei Stanford University Abstract Recent learning-to-plan methods have...	2019	331
8,938	Efﬁcient Neural Architecture Transformation Search in Channel-Level for Object Detection Junran Peng1,2,3 Ming Sun2 Zhaoxiang Zhang1,3∗ Tieniu Tan1,3 Junjie Yan2 1University of Chinese Academy of Sciences 2SenseTime Group Limited 3Center for Research on Intelligent Perception and Computing, CASIA Ab...	2019	332
8,939	CXPlain: Causal Explanations for Model Interpretation under Uncertainty Patrick Schwab and Walter Karlen Institute of Robotics and Intelligent Systems, ETH Zurich patrick.schwab@hest.ethz.ch Abstract Feature importance estimates that inform users about the degree to which given inputs inﬂuence the output ...	2019	333
8,940	Compacting, Picking and Growing for Unforgetting Continual Learning Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen Institute of Information Science, Academia Sinica, Taipei, Taiwan MOST Joint Research Center for AI Technology and All Vista Healthcare {brent120...	2019	334
8,941	Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments Vasilis Syrgkanis Microsoft Research vasy@microsoft.com Victor Lei TripAdvisor vlei@tripadvisor.com Miruna Oprescu Microsoft Research moprescu@microsoft.com Maggie Hei Microsoft Research Maggie.Hei@microsoft.com ...	2019	335
8,942	Mapping State Space using Landmarks for Universal Goal Reaching Zhiao Huang ∗ UC San Diego z2huang@eng.ucsd.edu Fangchen Liu ∗ UC San Diego fliu@eng.ucsd.edu Hao Su UC San Diego haosu@eng.ucsd.edu Abstract An agent that has well understood the environment should be able to apply its skills for...	2019	336
8,943	Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control Miguel Vaquero Mechanical and Aerospace Engineering UC San Diego San Diego, CA 9500 mivaquerovallina@ucsd.edu Jorge Cortés Mechanical and Aerospace Engineering UC San Diego San ...	2019	337
8,944	Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG Yujia Jin Stanford Universty yujiajin@stanford.edu Aaron Sidford Stanford Universty sidford@stanford.edu Abstract Given a data matrix A∈Rn×d, principal component projection (PCP) and principal component regress...	2019	338
8,945	Private Stochastic Convex Optimization with Optimal Rates Raef Bassily∗ The Ohio State University bassily.1@osu.edu Vitaly Feldman∗ Google Research. Brain Team. Kunal Talwar∗ Google Research. Brain Team. kunal@google.com Abhradeep Thakurta∗ University of California Santa Cruz Google Research. Br...	2019	339
8,946	Uniform convergence may be unable to explain generalization in deep learning Vaishnavh Nagarajan Department of Computer Science Carnegie Mellon University Pittsburgh, PA vaishnavh@cs.cmu.edu J. Zico Kolter Department of Computer Science Carnegie Mellon University & Bosch Center for Artiﬁcial Intelli...	2019	34
8,947	Complexity of Highly Parallel Non-Smooth Convex Optimization Sébastien Bubeck Microsoft Research sebubeck@microsoft.com Qijia Jiang Stanford University qjiang2@stanford.edu Yin Tat Lee University of Washington & Microsoft Research yintat@uw.edu Yuanzhi Li Stanford University yuanzhil@stanfor...	2019	340
8,948	A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning Nicolas Carion Facebook, Paris Lamsade, Univ. Paris Dauphine alcinos@fb.com Gabriel Synnaeve Facebook, NYC gab@fb.com Alessandro Lazaric Facebook, Paris lazaric@fb.com Nicolas Usunier Facebook...	2019	341
8,949	Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space Shuo Yang ∗ Department of Computer Science University of Texas at Austin Austin, TX 78712 yangshuo_ut@utexas.edu Yanyao Shen ∗ ECE Department University of Texas at Austin Austin, TX 78712 sheny...	2019	342
8,950	Differentially Private Distributed Data Summarization under Covariate Shift ⇤ Kanthi K. Sarpatwar 1 IBM Research sarpatwa@us.ibm.com Karthikeyan Shanmugam 1 IBM Research AI karthikeyan.shanmugam2@ibm.com Venkata Sitaramagiridharganesh Ganapavarapu IBM Research giridhar.ganapavarapu@ibm.com Ashish ...	2019	343
8,951	On Fenchel Mini-Max Learning Chenyang Tao1, Liqun Chen1, Shuyang Dai1, Junya Chen1,2, Ke Bai1, Dong Wang1, Jianfeng Feng3, Wenlian Lu2, Georgiy Bobashev4, Lawrence Carin1 1 Electrical & Computer Engineering, Duke University, Durham, NC, USA 2 School of Mathematical Sciences, Fudan University, Shanghai, China ...	2019	344
8,952	Optimizing Generalized Rate Metrics with Three Players Harikrishna Narasimhan, Andrew Cotter, Maya Gupta Google Research 1600 Amphitheatre Pkwy, Mountain View, CA 94043 {hnarasimhan, acotter, mayagupta}@google.com Abstract We present a general framework for solving a large class of learning problems wit...	2019	345
8,953	Stability of Graph Scattering Transforms Fernando Gama Dept. of Electrical and Systems Eng. University of Pennsylvania Philadelphia, PA 19104 fgama@seas.upenn.edu Joan Bruna Courant Institute of Math. Sci. New York University New York, NY 10012 bruna@cims.nyu.edu Alejandro Ribeiro Dept. of Elect...	2019	346
8,954	A Geometric Perspective on Optimal Representations for Reinforcement Learning Marc G. Bellemare1, Will Dabney2, Robert Dadashi1, Adrien Ali Taiga1,3, Pablo Samuel Castro1, Nicolas Le Roux1, Dale Schuurmans1,4, Tor Lattimore2, Clare Lyle5 Abstract We propose a new perspective on representation learning in rein...	2019	347
8,955	More Is Less: Learning Efﬁcient Video Representations by Big-Little Network and Depthwise Temporal Aggregation Quanfu Fan†,1, Chun-Fu (Richard) Chen†,2, Hilde Kuehne1, Marco Pistoia2, David Cox1 †: Equal contribution 1MIT-IBM Waston AI Lab, Cambridge, MA 02142, USA 2IBM T.J. Waston Research Center, Yorktown...	2019	348
8,956	Provably Efﬁcient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle Simon S. Du Institute for Advanced Study ssdu@ias.edu Yuping Luo Princeton University yupingl@cs.princeton.edu Ruosong Wang Carnegie Mellon University ruosongw@andrew.cmu.edu Hanrui Zhang Duke...	2019	349
8,957	First order expansion of convex regularized estimators Pierre C Bellec, Department of Statistics, Rutgers University, 501 Hill Center, Piscataway, NJ 08854, USA. pierre.bellec@rutgers.edu Arun K Kuchibhotla, Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, ...	2019	35
8,958	Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints Sebastian Tschiatschek∗ Microsoft Research setschia@microsoft.com Ahana Ghosh∗ MPI-SWS gahana@mpi-sws.org Luis Haug∗ ETH Zurich lhaug@inf.ethz.ch Rati Devidze MPI-SWS rdevidze@mpi-sws.org Adish Singla M...	2019	350
8,959	PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi The Australian National University and Data61 zak.mhammedi@anu.edu.au Peter D. Grünwald CWI and Leiden University pdg@cwi.nl Benjamin Guedj Inria and University College London benjamin.guedj@inria.fr Abstract We present a new PAC-Bayesian...	2019	351
8,960	Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs Lorenzo Dall’Amico GIPSA-lab, UGA, CNRS, Grenoble INP lorenzo.dall-amico@gipsa-lab.fr Romain Couillet GIPSA-lab, UGA, CNRS, Grenoble INP L2S, CentraleSupélec, University of Paris Saclay Nicolas Tremblay GIPSA-lab...	2019	352
8,961	Learning Positive Functions with Pseudo Mirror Descent Yingxiang Yang∗ UIUC yyang172@illinois.edu Haoxiang Wang UIUC hwang264@illinois.edu Negar Kiyavash EPFL negar.kiyavash@epfl.ch Niao He UIUC niaohe@illinois.edu Abstract The nonparametric learning of positive-valued functions appears wide...	2019	353
8,962	Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback Arun Verma Department of IEOR IIT Bombay, India v.arun@iitb.ac.in Manjesh K. Hanawal Department of IEOR IIT Bombay, India mhanwal@iitb.ac.in Arun Rajkumar Department of CSE IIT Madras, India arunr@cse.iitm.ac.in ...	2019	354
8,963	Defending Against Neural Fake News Rowan Zellers♠, Ari Holtzman♠, Hannah Rashkin♠, Yonatan Bisk♠ Ali Farhadi♠~, Franziska Roesner♠, Yejin Choi♠~ ♠Paul G. Allen School of Computer Science & Engineering, University of Washington ~Allen Institute for Artiﬁcial Intelligence https://rowanzellers.com/grover Abstr...	2019	355
8,964	Robust and Communication-Efﬁcient Collaborative Learning Amirhossein Reisizadeh ECE Department University of California, Santa Barbara reisizadeh@ucsb.edu Hossein Taheri ECE Department University of California, Santa Barbara hossein@ucsb.edu Aryan Mokhtari ECE Department The University of Texas ...	2019	356
8,965	A Self Validation Network for Object-Level Human Attention Estimation Zehua Zhang,1 Chen Yu,2 David Crandall1 1Luddy School of Informatics, Computing, and Engineering 2Department of Psychological and Brain Sciences Indiana University Bloomington {zehzhang, chenyu, djcran}@indiana.edu Abstract Due to the...	2019	357
8,966	Learning Robust Global Representations by Penalizing Local Predictive Power Haohan Wang, Songwei Ge, Eric P. Xing, Zachary C. Lipton School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 {haohanw,songweig,epxing,zlipton}@cs.cmu.edu Abstract Despite their well-documented predictive p...	2019	358
8,967	Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Boston University mbun@bu.edu Thomas Steinke IBM Research – Almaden smooth@thomas-steinke.net Abstract The simplest and most widely applied method for guaranteeing differential privacy is to add instance-in...	2019	359
8,968	Robust exploration in linear quadratic reinforcement learning Jack Umenberger Department of Information Technology Uppsala University, Sweden jack.umenberger@it.uu.se Mina Ferizbegovic School of Electrical Engineering and Computer Science KTH, Sweden minafe@kth.se Thomas B. Schön Department of I...	2019	36
8,969	A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning Xiang Li∗ School of Mathematical Sciences Peking University Beijing, China lx10077@pku.edu.cn Wenhao Yang∗ Center for Data Science Peking University Beijing, China yangwenhaosms@pku.edu.cn Zhihua Zhang National Engineeri...	2019	360
8,970	Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces Yu Qi1, Bin Liu2, Yueming Wang3,∗, Gang Pan1,4,∗ qiyu@zju.edu.cn, bins@ieee.org, ymingwang@zju.edu.cn, gpan@zju.edu.cn 1 College of Computer Science and Technology, Zhejiang University 2 School of Computer Scien...	2019	361
8,971	First-order methods almost always avoid saddle points: The case of vanishing step-sizes Ioannis Panageas SUTD Singapore ioannis@sutd.edu.sg Georgios Piliouras SUTD Singapore georgios@sutd.edu.sg Xiao Wang SUTD Singapore xiao_wang@sutd.edu.sg Abstract In a series of papers [17, 22, 16], it ...	2019	362
8,972	Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms Vikas K. Garg MIT vgarg@csail.mit.edu Tamar Pichkhadze MIT tamarp@alum.mit.edu Abstract We resolve the fundamental problem of online decoding with general nth order ergodic Markov chain models. Speciﬁcally, we provide deter...	2019	363
8,973	Faster Boosting with Smaller Memory Julaiti Alafate Department of Computer Science and Engineering University of California, San Diego La Jolla, CA 92093 Yoav Freund Department of Computer Science and Engineering University of California, San Diego La Jolla, CA 92093 Abstract State-of-the-art implem...	2019	364
8,974	Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach Shuyue Hu, Chin-Wing Leung, Ho-fung Leung The Chinese University of Hong Kong, Hong Kong, China {syhu,cwleung,lhf}@cse.cuhk.edu.hk Abstract Modelling the dynamics of multi-agent learning has long b...	2019	365
8,975	Information-Theoretic Conﬁdence Bounds for Reinforcement Learning Xiuyuan Lu Stanford University lxy@stanford.edu Benjamin Van Roy Stanford University bvr@stanford.edu Abstract We integrate information-theoretic concepts into the design and analysis of optimistic algorithms and Thompson sampling. By m...	2019	366
8,976	Bootstrapping Upper Conﬁdence Bound Botao Hao Purdue University haobotao000@gmail.com Yasin Abbasi-Yadkori VinAI yasin.abbasi@gmail.com Zheng Wen Deepmind zhengwen@google.com Guang Cheng Purdue University chengg@purdue.edu Abstract Upper Conﬁdence Bound (UCB) method is arguably the most cele...	2019	367
8,977	DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation Shashank Rajput⇤ University of Wisconsin-Madison rajput3@wisc.edu Hongyi Wang⇤ University of Wisconsin-Madison hongyiwang@cs.wisc.edu Zachary Charles University of Wisconsin-Madison zcharles@math.wisc.edu Dimitris ...	2019	368
8,978	Differentially Private Covariance Estimation Kareem Amin kamin@google.com Google Research NY Travis Dick tdick@cs.cmu.edu Carnegie Mellon University Alex Kulesza kulesza@google.com Google Research NY Andr´es Mu˜noz Medina ammedina@google.com Google Research NY Sergei Vassilvitskii sergeiv@go...	2019	369
8,979	Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections Raanan Y. Rohekar Intel AI Lab raanan.yehezkel@intel.com Yaniv Gurwicz Intel AI Lab yaniv.gurwicz@intel.com Shami Nisimov Intel AI Lab shami.nisimov@intel.com Gal Novik Intel AI Lab gal.novik@intel.com Abstract Modelin...	2019	37
8,980	Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition Satoshi Tsutsui Indiana University USA stsutsui@indiana.edu Yanwei Fu⇤ Fudan University China yanweifu@fudan.edu.cn David Crandall Indiana University USA djcran@indiana.edu Abstract One-shot ﬁne-grained visual reco...	2019	370
8,981	PHYRE: A New Benchmark for Physical Reasoning Anton Bakhtin Laurens van der Maaten Justin Johnson Laura Gustafson Ross Girshick Facebook AI Research {yolo,lvdmaaten,jcjohns,lgustafson,rbg}@fb.com Abstract Understanding and reasoning about physics is an important ability of intelligent agents. We dev...	2019	371
8,982	Facility Location Problem in Differential Privacy Model Revisited Yunus Esencayi ∗ SUNY at Buffalo yunusese@buffalo.edu Marco Gaboardi Boston University gaboardi@bu.edu Shi Li SUNY at Buffalo shil@buffalo.edu Di Wang SUNY at Buffalo dwang45@buffalo.edu Abstract In this paper we study the u...	2019	372
8,983	Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks Maksym Andriushchenko University of Tübingen maksym.andriushchenko@uni-tuebingen.de Matthias Hein University of Tübingen matthias.hein@uni-tuebingen.de Abstract The problem of adversarial robustness has been studied extensiv...	2019	373
8,984	Graph-Based Semi-Supervised Learning with Nonignorable Nonresponses Fan Zhou1, Tengfei Li2, Haibo Zhou2, Jieping Ye3, Hongtu Zhu3,2 Shanghai University of Finance and Economics1, zhoufan@mail.shufe.edu.cn University of North Carolina at Chapel Hill2, tengfei_li@med.unc.edu,zhou@bios.unc.edu AI Labs, Didi Chux...	2019	374
8,985	Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova, Ricky T. Q. Chen, David Duvenaud University of Toronto and the Vector Institute {rubanova, rtqichen, duvenaud}@cs.toronto.edu Abstract Time series with non-uniform intervals occur in many applications, and are difﬁcult to model using standard rec...	2019	375
8,986	On the Correctness and Sample Complexity of Inverse Reinforcement Learning Abi Komanduru Purdue University West Lafayette IN 47906 akomandu@purdue.edu Jean Honorio Purdue University West Lafayette IN 47906 jhonorio@purdue.edu Abstract Inverse reinforcement learning (IRL) is the problem of ﬁnding a...	2019	376
8,987	A New Distribution on the Simplex with Auto-Encoding Applications Andrew Stirn∗, Tony Jebara†, David A Knowles‡ Department of Computer Science Columbia University New York, NY 10027 {andrew.stirn,jebara,daknowles}@cs.columbia.edu Abstract We construct a new distribution for the simplex using the Kumaras...	2019	377
8,988	Model selection for contextual bandits Dylan J. Foster Massachusetts Institute of Technology dylanf@mit.edu Akshay Krishnamurthy Microsoft Research NYC akshay@cs.umass.edu Haipeng Luo University of Southern California haipengl@usc.edu Abstract We introduce the problem of model selection for contex...	2019	378
8,989	Learning-In-The-Loop Optimization: End-To-End Control And Co-Design of Soft Robots Through Learned Deep Latent Representations Andrew Spielberg, Allan Zhao, Tao Du, Yuanming Hu, Daniela Rus, Wojciech Matusik CSAIL Massachusetts Institute of Technology Cambridge, MA 02139 aespielberg@csail.mit.edu, azhao@m...	2019	379
8,990	Meta-Surrogate Benchmarking for Hyperparameter Optimization Aaron Klein1 Zhenwen Dai2 Frank Hutter1 Neil Lawrence3 Javier González2 1University of Freiburg 2Amazon Cambridge 3University of Cambridge {kleinaa,fh}@cs.uni-freiburg.de {zhenwend, gojav}@amazon.com ndl21@cam.ac.uk Abstract Despite...	2019	38
8,991	FreeAnchor: Learning to Match Anchors for Visual Object Detection Xiaosong Zhang1, Fang Wan1, Chang Liu1, Rongrong Ji2, Qixiang Ye1,3∗ 1University of Chinese Academy of Sciences, Beijing, China 2Xiamen University, Xiamen, China 3Peng Cheng Laboratory, Shenzhen, China zhangxiaosong18@mails.ucas.ac.cn...	2019	380
8,992	Invariance and identiﬁability issues for word embeddings Rachel Carrington Karthik Bharath Simon Preston School of Mathematical Sciences, University of Nottingham {rachel.carrington, karthik.bharath, simon.preston}@nottingham.ac.uk Abstract Word embeddings are commonly obtained as optimizers of a criter...	2019	381
8,993	SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Wang∗ New York University Yada Pruksachatkun∗ New York University Nikita Nangia∗ New York University Amanpreet Singh∗ Facebook AI Research Julian Michael University of Washington Felix Hill DeepMind Omer ...	2019	382
8,994	PC-Fairness: A Uniﬁed Framework for Measuring Causality-based Fairness Yongkai Wu University of Arkansas yw009@uark.edu Lu Zhang University of Arkansas lz006@uark.edu Xintao Wu University of Arkansas xintaowu@uark.edu Hanghang Tong University of Illinois at Urbana-Champaign htong@illinois.edu ...	2019	383
8,995	Worst-Case Regret Bounds for Exploration via Randomized Value Functions Daniel Russo Columbia University djr2174@gsb.columbia.edu Abstract This paper studies a recent proposal to use randomized value functions to drive exploration in reinforcement learning. These randomized value functions are generated...	2019	384
8,996	Glyce: Glyph-vectors for Chinese Character Representations Yuxian Meng, Wei Wu, Fei Wang, Xiaoya Li, Ping Nie, Fan Yin Muyu Li, Qinghong Han, Xiaofei Sun and Jiwei Li Shannon.AI {yuxian meng, wei wu, fei wang, xiaoya li, ping nie, fan yin, muyu li, qinghong han, xiaofei sun, jiwei li}@shannonai.com Ab...	2019	385
8,997	Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre, Armin Eftekhari and Volkan Cevher Laboratory for information and inference systems (LIONS) EPFL, Lausanne, Switzerland {firstname.lastname}@epfl.ch Abstract In this work, we propose a (linearized) Alternating Direction Method-of-Mu...	2019	386
8,998	GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series Edward De Brouwer⇤† ESAT-STADIUS KU LEUVEN Leuven, 3001, Belgium edward.debrouwer@esat.kuleuven.be Jaak Simm⇤ ESAT-STADIUS KU LEUVEN Leuven, 3001, Belgium jaak.simm@esat.kuleuven.be Adam Arany ESAT-STADIUS KU LEUVEN Le...	2019	387
8,999	Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match∗ Hamed Hassani ESE Department University of Pennsylvania Philadelphia, PA hassani@seas.upenn.edu Amin Karbasi ECE Department Yale University New Haven, CT amin.karbasi@yale.edu Aryan Mokhtari ECE Department The University of ...	2019	388

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