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NIPS · 24.8k rows

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7,300	Scalable Coordinated Exploration in Concurrent Reinforcement Learning Maria Dimakopoulou Stanford University madima@stanford.edu Ian Osband Google DeepMind iosband@google.com Benjamin Van Roy Stanford University bvr@stanford.edu Abstract We consider a team of reinforcement learning agents that c...	2018	143
7,301	Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng1, Nicolò Colombo1, Ricardo Silva1,2 1Statistical Science, University College London 2The Alan Turing Institute {y.ng.12, nicolo.colombo, ricardo.silva}@ucl.ac.uk Abstract We propose a data-efﬁcient Gaussian process-based Bayesian...	2018	144
7,302	Simple, Distributed, and Accelerated Probabilistic Programming Dustin Tran⇤ Matthew D. Hoffman† Dave Moore† Christopher Suter† Srinivas Vasudevan† Alexey Radul† Matthew Johnson⇤ Rif A. Saurous† ⇤Google Brain, †Google Abstract We describe a simple, low-level approach for embedding probabilistic p...	2018	145
7,303	When do random forests fail? Cheng Tang George Washington University Washington, DC tangch@gwu.edu Damien Garreau Max Planck Institute for Intelligent Systems T¨ubingen, Germany damien.garreau@tuebingen.mpg.de Ulrike von Luxburg University of T¨ubingen Max Planck Institute for Intelligent Systems ...	2018	146
7,304	Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward Lixing Chen, Jie Xu Department of Electrical and Computer Engineering University of Miami Coral Gables, FL 33146 {lx.chen, jiexu}@miami.edu Zhuo Lu Department of Electrical Engineering University of South Florida T...	2018	147
7,305	Learning to Reconstruct Shapes from Unseen Classes Xiuming Zhang∗ MIT CSAIL Zhoutong Zhang∗ MIT CSAIL Chengkai Zhang MIT CSAIL Joshua B. Tenenbaum MIT CSAIL William T. Freeman MIT CSAIL, Google Research Jiajun Wu MIT CSAIL Abstract From a single image, humans are able to perceive the full 3D...	2018	148
7,306	Mixture Matrix Completion Daniel Pimentel-Alarcón Department of Computer Science Georgia State University Atlanta, GA, 30303 pimentel@gsu.edu Abstract Completing a data matrix X has become an ubiquitous problem in modern data science, with motivations in recommender systems, computer vision, and network...	2018	149
7,307	Learning SMaLL Predictors Vikas K. Garg CSAIL, MIT vgarg@csail.mit.edu Ofer Dekel Microsoft Research oferd@microsoft.com Lin Xiao Microsoft Research lin.xiao@microsoft.com Abstract We introduce a new framework for learning in severely resource-constrained settings. Our technique delicately amalgam...	2018	15
7,308	Fighting Boredom in Recommender Systems with Linear Reinforcement Learning Romain Warlop ﬁfty-ﬁve, Paris, France SequeL Team, Inria Lille, France romain@fifty-five.com Alessandro Lazaric Facebook AI Research Paris, France lazaric@fb.com Jérémie Mary Criteo AI Lab Paris, France j.mary@criteo.co...	2018	150
7,309	Diffusion Maps for Textual Network Embedding Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin Department of Electrical and Computer Engineering Duke University Durham, NC 27707 {xy.zhang, yitong.li, dinghan.shen, lcarin}@duke.edu Abstract Textual network embedding leverages rich text information ass...	2018	151
7,310	Out-of-Distribution Detection using Multiple Semantic Label Representations Gabi Shalev Bar-Ilan University, Israel shalev.gabi@gmail.com Yossi Adi Bar-Ilan University, Israel yossiadidrum@gmail.com Joseph Keshet Bar-Ilan University, Israel jkeshet@cs.biu.ac.il Abstract Deep Neural Networks are ...	2018	152
7,311	First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time Yi Xu†, Rong Jin‡, Tianbao Yang† † Department of Computer Science, The University of Iowa, Iowa City, IA 52246, USA ‡ Machine Intelligence Technology, Alibaba Group, Bellevue, WA 98004, USA {yi-xu, tianbao-yang}@uiowa.edu,...	2018	153
7,312	cpSGD: Communication-efﬁcient and differentially-private distributed SGD Naman Agarwal Google Brain Princeton, NJ 08540 namanagarwal@google.com Ananda Theertha Suresh Google Research New York, NY theertha@google.com Felix Yu Google Research New York, NY felixyu@google.com Sanjiv Kumar Goog...	2018	154
7,313	Factored Bandits Julian Zimmert University of Copenhagen zimmert@di.ku.dk Yevgeny Seldin University of Copenhagen seldin@di.ku.dk Abstract We introduce the factored bandits model, which is a framework for learning with limited (bandit) feedback, where actions can be decomposed into a Cartesian produ...	2018	155
7,314	Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi∗ University of Maryland ashafahi@cs.umd.edu W. Ronny Huang∗ University of Maryland wrhuang@umd.edu Mahyar Najibi University of Maryland najibi@cs.umd.edu Octavian Suciu University of Maryland osuciu@umiacs.umd....	2018	156
7,315	Implicit Probabilistic Integrators for ODEs Onur Teymur⇤& Ben Calderhead Department of Mathematics Imperial College London Han Cheng Lie & T.J. Sullivan Institute of Mathematics, Freie Universit¨at Berlin; & Zuse Institut Berlin Abstract We introduce a family of implicit probabilistic integrators for in...	2018	157
7,316	Non-metric Similarity Graphs for Maximum Inner Product Search Stanislav Morozov Yandex, Lomonosov Moscow State University stanis-morozov@yandex.ru Artem Babenko Yandex, National Research University Higher School of Economics artem.babenko@phystech.edu Abstract In this paper we address the proble...	2018	158
7,317	Learning convex polytopes with margin Lee-Ad Gottlieb Ariel University leead@ariel.ac.il Eran Kaufman Ariel University erankfmn@gmail.com Aryeh Kontorovich Ben-Gurion University karyeh@bgu.sc.il Gabriel Nivasch Ariel University gabrieln@ariel.ac.il Abstract We present an improved algorithm f...	2018	159
7,318	ResNet with one-neuron hidden layers is a Universal Approximator Hongzhou Lin MIT Cambridge, MA 02139 hongzhou@mit.edu Stefanie Jegelka MIT Cambridge, MA 02139 stefje@mit.edu Abstract We demonstrate that a very deep ResNet with stacked modules that have one neuron per hidden layer and ReLU activ...	2018	16
7,319	Distilled Wasserstein Learning for Word Embedding and Topic Modeling Hongteng Xu1,2 Wenlin Wang2 Wei Liu3 Lawrence Carin2 1Inﬁnia ML, Inc. 2Duke University 3Tencent AI Lab hongteng.xu@infiniaml.com Abstract We propose a novel Wasserstein method with a distillation mechanism, yielding joint learn...	2018	160
7,320	Inferring Latent Velocities from Weather Radar Data using Gaussian Processes Rico Angell University of Massachusetts Amherst rangell@cs.umass.edu Daniel Sheldon University of Massachusetts Amherst sheldon@cs.umass.edu Abstract Archived data from the US network of weather radars hold detailed informati...	2018	161
7,321	Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization Yizhe Zhang Michel Galley Jianfeng Gao Zhe Gan Xiujun Li Chris Brockett Bill Dolan Microsoft Research, Redmond, WA, USA {yizzhang,mgalley,jfgao,zhgan,xiul,chrisbkt,billdol}@microsoft.com Abstract ...	2018	162
7,322	Multi-Agent Generative Adversarial Imitation Learning Jiaming Song Stanford University tsong@cs.stanford.edu Hongyu Ren Stanford University hyren@cs.stanford.edu Dorsa Sadigh Stanford University dorsa@cs.stanford.edu Stefano Ermon Stanford University ermon@cs.stanford.edu Abstract Imitatio...	2018	163
7,323	Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning Supasorn Suwajanakorn▷∗Noah Snavely♦ Jonathan Tompson♦ Mohammad Norouzi♦ supasorn@vistec.ac.th, {snavely, tompson, mnorouzi}@google.com ▷Vidyasirimedhi Institute of Science and Technology ♦Google AI Abstract This paper presents Keypoi...	2018	164
7,324	Variational Learning on Aggregate Outputs with Gaussian Processes Ho Chung Leon Law∗ University of Oxford Dino Sejdinovic† University of Oxford Ewan Cameron‡ University of Oxford Tim CD Lucas‡ University of Oxford Seth Flaxman§ Imperial College London Katherine Battle‡ University Of Oxford K...	2018	165
7,325	Adaptation to Easy Data in Prediction with Limited Advice Tobias Sommer Thune Department of Computer Science University of Copenhagen tobias.thune@di.ku.dk Yevgeny Seldin Department of Computer Science University of Copenhagen seldin@di.ku.dk Abstract We derive an online learning algorithm with im...	2018	166
7,326	Maximum Causal Tsallis Entropy Imitation Learning Kyungjae Lee1, Sungjoon Choi2, and Songhwai Oh1 Dep. of Electrical and Computer Engineering and ASRI, Seoul National University1 Kakao Brain2 kyungjae.lee@rllab.snu.ac.kr, sam.choi@kakaobrain.com, songhwai@snu.ac.kr Abstract In this paper, we propose a nov...	2018	167
7,327	Importance Weighting and Variational Inference Justin Domke1 and Daniel Sheldon1,2 1 College of Information and Computer Sciences, University of Massachusetts Amherst 2 Department of Computer Science, Mount Holyoke College Abstract Recent work used importance sampling ideas for better variational bounds on li...	2018	168
7,328	Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction Roei Herzig∗ Tel Aviv University roeiherzig@mail.tau.ac.il Moshiko Raboh∗ Tel Aviv University mosheraboh@mail.tau.ac.il Gal Chechik Bar-Ilan University, NVIDIA Research gal.chechik@biu.ac.il Jonathan Berant Tel Aviv ...	2018	169
7,329	How Many Samples are Needed to Estimate a Convolutional Neural Network? Simon S. Du˚ Carnegie Mellon University Yining Wang* Carnegie Mellon University Xiyu Zhai Massachusetts Institute of Technology Sivaraman Balakrishnan Carnegie Mellon University Ruslan Salakhutdinov Carnegie Mellon University ...	2018	17
7,330	Are ResNets Provably Better than Linear Predictors? Ohad Shamir Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot, Israel ohad.shamir@weizmann.ac.il Abstract A residual network (or ResNet) is a standard deep neural net architecture, with stateof-the-art performan...	2018	170
7,331	Meta-Gradient Reinforcement Learning Zhongwen Xu DeepMind zhongwen@google.com Hado van Hasselt DeepMind hado@google.com David Silver DeepMind davidsilver@google.com Abstract The goal of reinforcement learning algorithms is to estimate and/or optimise the value function. However, unlike supervise...	2018	171
7,332	GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration Jacob R. Gardner∗, Geoff Pleiss∗, David Bindel, Kilian Q. Weinberger, Andrew Gordon Wilson Cornell University {jrg365,kqw4,andrew}@cornell.edu, {geoff,bindel}@cs.cornell.edu Abstract Despite advances in scalable models, th...	2018	172
7,333	Spectral Signatures in Backdoor Attacks Brandon Tran EECS MIT Cambridge, MA 02139 btran@mit.edu Jerry Li Simons Institute Berkeley, CA 94709 jerryzli@berkeley.edu Aleksander M ˛adry EECS MIT madry@mit.edu Abstract A recent line of work has uncovered a new form of data poisoning: so-called ...	2018	173
7,334	Uncertainty-Aware Attention for Reliable Interpretation and Prediction Jay Heo1,2,4∗, Hae Beom Lee1,2∗, Saehoon Kim2, Juho Lee2,5, Kwang Joon Kim3, Eunho Yang1,2, Sung Ju Hwang1,2 KAIST1, AItrics2, Yonsei University College of Medicine3, UNIST4, South Korea, University of Oxford5, United Kingdom, {jayheo, h...	2018	174
7,335	Attention in Convolutional LSTM for Gesture Recognition Liang Zhang∗ Xidian University liangzhang@xidian.edu.cn Guangming Zhu∗ Xidian University gmzhu@xidian.edu.cn Lin Mei Xidian University l_mei72@hotmail.com Peiyi Shen Xidian University pyshen@xidian.edu.cn Syed Afaq Ali Shah Central Qu...	2018	175
7,336	Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger Gabriel Synnaeve∗ Facebook, NYC gab@fb.com Zeming Lin∗ Facebook, NYC zlin@fb.com Jonas Gehring Facebook, Paris jgehring@fb.com Dan Gant Facebook, NYC danielgant@fb.com Vegard Mella Facebook, Paris vegardmella@...	2018	176
7,337	PacGAN: The power of two samples in generative adversarial networks Zinan Lin ECE Department Carnegie Mellon University zinanl@andrew.cmu.edu Ashish Khetan IESE Department University of Illinois at Urbana-Champaign ashish.khetan09@gmail.com Giulia Fanti ECE Department Carnegie Mellon University ...	2018	177
7,338	Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data Ehsan Hajiramezanali Texas A&M University ehsanr@tamu.edu Siamak Zamani Dadaneh Texas A&M University siamak@tamu.edu Alireza Karbalayghareh Texas A&M University alireza.kg@tamu.edu Mingyuan Zhou ...	2018	178
7,339	Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages Michelle Yuan University of Maryland myuan@cs.umd.edu Benjamin Van Durme John Hopkins University vandurme@jhu.edu Jordan Boyd-Graber University of Maryland jbg@umiacs.umd.edu Abstract Multilingual topic models can ...	2018	179
7,340	Objective and efﬁcient inference for couplings in neuronal networks Yu Terada1,2, Tomoyuki Obuchi2, Takuya Isomura1, Yoshiyuki Kabashima2 1Laboratory for Neural Computation and Adaptation, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan 2Department of Mathematical and Computer Sc...	2018	18
7,341	Generalized Inverse Optimization through Online Learning Chaosheng Dong Department of Industrial Engineering University of Pittsburgh chaosheng@pitt.edu Yiran Chen Department of Electrical and Computer Engineering Duke University yiran.chen@duke.edu Bo Zeng Department of Industrial Engineering U...	2018	180
7,342	Sanity Checks for Saliency Maps Julius Adebayo∗, Justin Gilmer♯, Michael Muelly♯, Ian Goodfellow♯, Moritz Hardt♯†, Been Kim♯ juliusad@mit.edu, {gilmer,muelly,goodfellow,mrtz,beenkim}@google.com ♯Google Brain †University of California Berkeley Abstract Saliency methods have emerged as a popular tool to highl...	2018	181
7,343	Differentially Private Uniformly Most Powerful Tests for Binomial Data Jordan Awan Department of Statistics Penn State University University Park, PA 16802 awan@psu.edu Aleksandra Slavkovi´c Department of Statistics Penn State University University Park, PA 16802 sesa@psu.edu Abstract We deriv...	2018	182
7,344	Bayesian Alignments of Warped Multi-Output Gaussian Processes Markus Kaiser Siemens AG Technical University of Munich markus.kaiser@siemens.com Clemens Otte Siemens AG clemens.otte@siemens.com Thomas Runkler Siemens AG Technical University of Munich thomas.runkler@siemens.com Carl Henrik Ek ...	2018	183
7,345	Semideﬁnite relaxations for certifying robustness to adversarial examples Aditi Raghunathan, Jacob Steinhardt and Percy Liang Stanford University {aditir, jsteinhardt, pliang}@cs.stanford.edu Abstract Despite their impressive performance on diverse tasks, neural networks fail catastrophically in the presenc...	2018	184
7,346	Compact Representation of Uncertainty in Clustering Craig S. Greenberg 1,2 Nicholas Monath1 Ari Kobren1 Patrick Flaherty3 Andrew McGregor1 Andrew McCallum1 1College of Information and Computer Sciences, University of Massachusetts Amherst 2National Institute of Standards and Technology 3Department of ...	2018	185
7,347	DeepPINK: reproducible feature selection in deep neural networks Yang Young Lu ∗ Department of Genome Sciences University of Washington Seattle, WA 98195 ylu465@uw.edu Yingying Fan ∗ Data Sciences and Operations Department Marshall School of Business University of Southern California Los Angeles, ...	2018	186
7,348	Supervised autoencoders: Improving generalization performance with unsupervised regularizers Lei Le Department of Computer Science Indiana University Bloomington, IN leile@iu.edu Andrew Patterson and Martha White Department of Computing Science University of Alberta Edmonton, AB T6G 2E8, Canada {a...	2018	187
7,349	Understanding Regularized Spectral Clustering via Graph Conductance Yilin Zhang Department of Statistics University of Wisconsin-Madison Madison, WI 53706 yilin.zhang@wisc.edu Karl Rohe Department of Statistics University of Wisconsin-Madison Madison, WI 53706 karl.rohe@wisc.edu Abstract This ...	2018	188
7,350	Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis Alyson K. Fletcher Dept. Statistics UC Los Angeles akfletcher@ucla.edu Parthe Pandit Dept. ECE UC Los Angeles parthepandit@ucla.edu Sundeep Rangan Dept. ECE NYU srangan@nyu.edu Subrata Sarkar Dept. ECE Th...	2018	189
7,351	Unsupervised Adversarial Invariance Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Premkumar Natarajan USC Information Sciences Institute Marina del Rey, CA, USA {ajaiswal, yue_wu, wamageed, pnataraj}@isi.edu Abstract Data representations that contain all the information about target variables but are invariant...	2018	19
7,352	Multitask Boosting for Survival Analysis with Competing Risks Alexis Bellot University of Oxford Oxford, United Kingdom alexis.bellot@eng.ox.ac.uk Mihaela van der Schaar University of Oxford and The Alan Turing Institute London, United Kingdom mschaar@turing.ac.uk Abstract The co-occurrence of mul...	2018	190
7,353	Deep Dynamical Modeling and Control of Unsteady Fluid Flows Jeremy Morton∗ jmorton2@stanford.edu Freddie D. Witherden∗ fdw@stanford.edu Antony Jameson † antony.jameson@tamu.edu Mykel J. Kochenderfer∗ mykel@stanford.edu Abstract The design of ﬂow control systems remains a challenge due to the nonli...	2018	191
7,354	Learning Deep Disentangled Embeddings With the F-Statistic Loss Karl Ridgeway Department of Computer Science University of Colorado and Sensory, Inc. Boulder, Colorado karl.ridgeway@colorado.edu Michael C. Mozer Department of Computer Science University of Colorado Boulder, Colorado mozer@colora...	2018	192
7,355	Disconnected Manifold Learning for Generative Adversarial Networks Mahyar Khayatkhoei Department of Computer Science Rutgers University m.khayatkhoei@cs.rutgers.edu Ahmed Elgammal Department of Computer Science Rutgers University elgammal@cs.rutgers.edu Maneesh Singh Verisk Analytics maneesh.sin...	2018	193
7,356	Automating Bayesian optimization with Bayesian optimization Gustavo Malkomes, Roman Garnett Department of Computer Science and Engineering Washington University in St. Louis St. Louis, MO 63130 {luizgustavo, garnett}@wustl.edu Abstract Bayesian optimization is a powerful tool for global optimization of ...	2018	194
7,357	Leveraged volume sampling for linear regression Michał Derezi´nski and Manfred K. Warmuth Department of Computer Science University of California, Santa Cruz mderezin@berkeley.edu, manfred@ucsc.edu Daniel Hsu Computer Science Department Columbia University, New York djhsu@cs.columbia.edu Abstract Su...	2018	195
7,358	Scalable Robust Matrix Factorization with Nonconvex Loss Quanming Yao1,2, James T. Kwok2 14Paradigm Inc. Beijing, China 2Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong yaoquanming@4paradigm.com, jamesk@cse.ust.hk Abstract Matrix factorization (M...	2018	196
7,359	Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training Youjie Li†, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim†, and Alexander Schwing† †University of Illinois at Urbana-Champaign University of Southern California Abstract Distributed training of deep nets is a...	2018	197
7,360	Wasserstein Variational Inference Luca Ambrogioni* Radboud University l.ambrogioni@donders.ru.nl Umut Güçlü* Radboud University u.guclu@donders.ru.nl Ya˘gmur Güçlütürk Radboud University y.gucluturk@donders.ru.nl Max Hinne University of Amsterdam m.hinne@uva.nl Eric Maris Radboud University ...	2018	198
7,361	Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments Mahdi Imani Texas A&M University College Station, TX, USA m.imani88@tamu.edu Seyede Fatemeh Ghoreishi Texas A&M University College Station, TX, USA f.ghoreishi88@tamu.edu Ulisses M. Braga-Neto Texas A&M University Col...	2018	199
7,362	Self-Supervised Generation of Spatial Audio for 360◦Video Pedro Morgado University of California, San Diego∗ Nuno Vasconcelos University of California, San Diego Timothy Langlois Adobe Research, Seattle Oliver Wang Adobe Research, Seattle Abstract We introduce an approach to convert mono audio rec...	2018	2
7,363	Critical initialisation for deep signal propagation in noisy rectiﬁer neural networks Arnu Pretorius∗ Computer Science Division CAIR† Stellenbosch University Elan Van Biljon Computer Science Division Stellenbosch University Steve Kroon Computer Science Division Stellenbosch University Herman Kam...	2018	20
7,364	A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem Sampath Kannan University of Pennsylvania Jamie Morgenstern Georgia Tech Aaron Roth University of Pennsylvania Bo Waggoner Microsoft Research, NYC Zhiwei Steven Wu University of Minnesota Abstract Bandit learn...	2018	200
7,365	Lifelong Inverse Reinforcement Learning Jorge A. Mendez, Shashank Shivkumar, and Eric Eaton Department of Computer and Information Science University of Pennsylvania {mendezme,shashs,eeaton}@seas.upenn.edu Abstract Methods for learning from demonstration (LfD) have shown success in acquiring behavior poli...	2018	201
7,366	Recurrent World Models Facilitate Policy Evolution David Ha Google Brain Tokyo, Japan hadavid@google.com Jürgen Schmidhuber NNAISENSE The Swiss AI Lab, IDSIA (USI & SUPSI) juergen@idsia.ch Abstract A generative recurrent neural network is quickly trained in an unsupervised manner to model popular ...	2018	202
7,367	Algorithms and Theory for Multiple-Source Adaptation Judy Hoffman CS Department UC Berkeley Berkeley, CA 94720 jhoffman@eecs.berkeley.edu Mehryar Mohri Courant Institute and Google New York, NY 10012 mohri@cims.nyu.edu Ningshan Zhang New York University New York, NY 10012 nzhang@stern.nyu.edu ...	2018	203
7,368	On preserving non-discrimination when combining expert advice Avrim Blum TTI-Chicago avrim@ttic.edu Suriya Gunasekar TTI-Chicago suriya@ttic.edu Thodoris Lykouris Cornell University teddlyk@cs.cornell.edu Nathan Srebro TTI-Chicago nati@ttic.edu Abstract We study the interplay between seque...	2018	204
7,369	A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks Jeffrey Chan University of California, Berkeley chanjed@berkeley.edu Valerio Perrone University of Warwick v.perrone@warwick.ac.uk Jeffrey P. Spence University of California, Berkeley spence.jeffre...	2018	205
7,370	The Price of Privacy for Low-rank Factorization Jalaj Upadhyay Johns Hopkins University Baltimore, MD - 21201, USA. jalaj@jhu.edu Abstract In this paper, we study what price one has to pay to release differentially private low-rank factorization of a matrix. We consider various settings that are close t...	2018	206
7,371	Efﬁcient Formal Safety Analysis of Neural Networks Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana Columbia University, NYC, NY 10027, USA {tcwangshiqi, kpei, jaw2228, junfeng, suman}@cs.columbia.edu Abstract Neural networks are increasingly deployed in real-world safety-critical domains ...	2018	207
7,372	Inferring Networks From Random Walk-Based Node Similarities Jeremy G. Hoskins Department of Mathematics Yale University New Haven, CT jeremy.hoskins@yale.edu Cameron Musco Microsoft Research Cambridge, MA camusco@microsoft.com Christopher Musco Department of Computer Science Princeton Universi...	2018	208
7,373	Unsupervised Learning of View-invariant Action Representations Junnan Li Grad. School for Integrative Sciences and Engineering National University of Singapore Singapore lijunnan@u.nus.edu Yongkang Wong School of Computing National University of Singapore Singapore yongkang.wong@nus.edu.sg Qi Zh...	2018	209
7,374	Learning Sparse Neural Networks via Sensitivity-Driven Regularization Enzo Tartaglione Politecnico di Torino Torino, Italy tartaglioneenzo@gmail.com Skjalg Lepsøy Nuance Communications Torino, Italy Attilio Fiandrotti Politecnico di Torino, Torino, Italy Télécom ParisTech, Paris, France Gianluca...	2018	21
7,375	Extracting Relationships by Multi-Domain Matching Yitong Li1, Michael Murias2, Samantha Major3, Geraldine Dawson3 and David E. Carlson1,4,5 1Department of Electrical and Computer Engineering, Duke University 2Duke Institute for Brain Sciences, Duke University 3Departments of Psychiatry and Behavioral Sciences, ...	2018	210
7,376	Distributed k-Clustering for Data with Heavy Noise Xiangyu Guo University at Buffalo Buffalo, NY 14260 xiangyug@buffalo.edu Shi Li University at Buffalo Buffalo, NY 14260 shil@buffalo.edu Abstract In this paper, we consider the k-center/median/means clustering with outliers problems (or the (k, z)...	2018	211
7,377	Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections Xin Zhang CSAIL, MIT xzhang@csail.mit.edu Armando Solar-Lezama CSAIL, MIT asolar@csail.mit.edu Rishabh Singh Google Brain rising@google.com Abstract We present a new algorithm to generate minimal, stable, and sym...	2018	212
7,378	Diverse Ensemble Evolution: Curriculum Data-Model Marriage Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes Depts. of Computer Science and Engineering, and Electrical and Computer Engineering University of Washington, Seattle {tianyizh, wangsj, bilmes}@uw.edu Abstract We study a new method “Diverse Ensemble Evo...	2018	213
7,379	Q-learning with Nearest Neighbors Devavrat Shah ⇤ Massachusetts Institute of Technology devavrat@mit.edu Qiaomin Xie ⇤ Massachusetts Institute of Technology qxie@mit.edu Abstract We consider model-free reinforcement learning for inﬁnite-horizon discounted Markov Decision Processes (MDPs) with a contin...	2018	214
7,380	Modular Networks: Learning to Decompose Neural Computation Louis Kirsch∗ Department of Computer Science University College London mail@louiskirsch.com Julius Kunze Department of Computer Science University College London juliuskunze@gmail.com David Barber Department of Computer Science Universit...	2018	215
7,381	The Convergence of Sparsiﬁed Gradient Methods Dan Alistarh⇤ IST Austria dan.alistarh@ist.ac.at Torsten Hoeﬂer ETH Zurich htor@inf.ethz.ch Mikael Johansson KTH mikaelj@kth.se Sarit Khirirat KTH sarit@kth.se Nikola Konstantinov IST Austria nikola.konstantinov@ist.ac.at Cédric Renggli ETH...	2018	216
7,382	Deepcode: Feedback Codes via Deep Learning Hyeji Kim⇤, Yihan Jiang†, Sreeram Kannan†, Sewoong Oh‡, Pramod Viswanath‡ Samsung AI Centre Cambridge*, University of Washington†, University of Illinois at Urbana Champaign‡ Abstract The design of codes for communicating reliably over a statistically well deﬁned cha...	2018	217
7,383	Chain of Reasoning for Visual Question Answering Chenfei Wu∗, Jinlai Liu∗, Xiaojie Wang, Xuan Dong Center for Intelligence Science and Technology Beijing University of Posts and Telecommunications {wuchenfei,liujinlai, xjwang, dongxuan8811}@bupt.edu.cn Abstract Reasoning plays an essential role in Visual Qu...	2018	218
7,384	Hamiltonian Variational Auto-Encoder Anthony L. Caterini1, Arnaud Doucet1,2, Dino Sejdinovic1,2 1Department of Statistics, University of Oxford 2Alan Turing Institute for Data Science {anthony.caterini, doucet, dino.sejdinovic}@stats.ox.ac.uk Abstract Variational Auto-Encoders (VAEs) have become very popula...	2018	219
7,385	Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classiﬁcation Harsh Shrivastava ∗ Georgia Tech hshrivastava3@gatech.edu Eugene Bart † PARC bart@parc.com Bob Price † PARC bprice@parc.com Hanjun Dai ∗ Georgia Tech hanjundai@gatech.edu Bo Dai ∗ Georg...	2018	22
7,386	Unorganized Malicious Attacks Detection Ming Pang Wei Gao Min Tao Zhi-Hua Zhou National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China {pangm, gaow, zhouzh}@lamda.nju.edu.cn taom@nju.edu.cn Abstract Recommender systems have attracted much attention during th...	2018	220
7,387	Differentially Private k-Means with Constant Multiplicative Error Haim Kaplan Tel Aviv University and Google haimk@post.tau.ac.il Uri Stemmer∗ Ben-Gurion University u@uri.co.il Abstract We design new differentially private algorithms for the Euclidean k-means problem, both in the centralized model a...	2018	221
7,388	Multi-value Rule Sets for Interpretable Classiﬁcation with Feature-Efﬁcient Representations Tong Wang Tippie School of Business University of Iowa Iowa City, IA 52242 tong-wang@uiowa.edu Abstract We present the Multi-value Rule Set (MRS) for interpretable classiﬁcation with feature efﬁcient presentati...	2018	222
7,389	Provable Gaussian Embedding with One Observation Ming Yu ⇤ Zhuoran Yang † Tuo Zhao ‡ Mladen Kolar § Zhaoran Wang ¶ Abstract The success of machine learning methods heavily relies on having an appropriate representation for data at hand. Traditionally, machine learning approaches relied on user-deﬁned ...	2018	223
7,390	Contamination Attacks and Mitigation in Multi-Party Machine Learning Jamie Hayes∗ Univeristy College London ❥✳❤❛②❡s❅❝s✳✉❝❧✳❛❝✳✉❦ Olga Ohrimenko Microsoft Research ♦♦❤r✐♠❅♠✐❝r♦s♦❢t✳❝♦♠ Abstract Machine learning is data hungry; the more data a model has access to in training, the more likely it is to ...	2018	224
7,391	Gradient Sparsiﬁcation for Communication-Efﬁcient Distributed Optimization Jianqiao Wangni University of Pennsylvania Tencent AI Lab wnjq@seas.upenn.edu Jialei Wang Two Sigma Investments jialei.wang@twosigma.com Ji Liu University of Rochester Tencent AI Lab ji.liu.uwisc@gmail.com Tong Zhang ...	2018	225
7,392	The promises and pitfalls of Stochastic Gradient Langevin Dynamics Nicolas Brosse, Éric Moulines Centre de Mathématiques Appliquées, UMR 7641, Ecole Polytechnique, Palaiseau, France. nicolas.brosse@polytechnique.edu, eric.moulines@polytechnique.edu Alain Durmus Ecole Normale Supérieure CMLA, 61 Av. du P...	2018	226
7,393	Training Deep Neural Networks with 8-bit Floating Point Numbers Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen and Kailash Gopalakrishnan IBM T. J. Watson Research Center Yorktown Heights, NY 10598, USA {nwang, choij, danbrand, cchen, kailash}@us.ibm.com Abstract The state-of-the-art hardware pla...	2018	227
7,394	ATOMO: Communication-efﬁcient Learning via Atomic Sparsiﬁcation Hongyi Wang1⇤, Scott Sievert2⇤, Zachary Charles2, Shengchao Liu1, Stephen Wright1, Dimitris Papailiopoulos2 1Department of Computer Sciences, 2Department of Electrical and Computer Engineering University of Wisconsin-Madison Abstract Distri...	2018	228
7,395	Depth-Limited Solving for Imperfect-Information Games Noam Brown, Tuomas Sandholm, Brandon Amos Computer Science Department Carnegie Mellon University noamb@cs.cmu.edu, sandholm@cs.cmu.edu, bamos@cs.cmu.edu Abstract A fundamental challenge in imperfect-information games is that states do not have well-d...	2018	229
7,396	Data center cooling using model-predictive control Nevena Lazic, Tyler Lu, Craig Boutilier, Moonkyung Ryu Google Research {nevena, tylerlu, cboutilier, mkryu}@google.com Eehern Wong, Binz Roy, Greg Imwalle Google Cloud {ejwong, binzroy, gregi}@google.com Abstract Despite the impressive recent advances i...	2018	23
7,397	Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models Shoubo Hu∗, Zhitang Chen†, Vahid Partovi Nia†, Laiwan Chan∗, Yanhui Geng‡ ∗The Chinese University of Hong Kong; †Huawei Noah’s Ark Lab; ‡Huawei Montréal Research Center ∗{sbhu, lwchan}@cse.cuhk.edu.hk †‡{chenzhitang2, vahid.part...	2018	230
7,398	Adversarial Risk and Robustness: General Deﬁnitions and Implications for the Uniform Distribution Dimitrios I. Diochnos∗ University of Virginia diochnos@virginia.edu Saeed Mahloujifar∗ University of Virginia saeed@virginia.edu Mohammad Mahmoody† University of Virginia mohammad@virginia.edu Abstrac...	2018	231
7,399	Analysis of Krylov Subspace Solutions of Regularized Nonconvex Quadratic Problems Yair Carmon Department of Electrical Engineering Stanford University yairc@stanford.edu John C. Duchi Departments of Statitstics and Electrical Engineering Stanford University jduchi@stanford.edu Abstract We provide ...	2018	232

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