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NIPS · 24.8k rows

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8,000	Wavelet regression and additive models for irregularly spaced data Asad Haris∗ Department of Biostatistics University of Washington Seattle, WA 98195 aharis@uw.edu Noah Simon Department of Biostatistics University of Washington Seattle, WA 98195 nrsimon@uw.edu Ali Shojaie Department of Biostat...	2018	774
8,001	Self-Erasing Network for Integral Object Attention Qibin Hou Peng-Tao Jiang Colledge of Computer Science, Nankai University andrewhoux@gmail.com Yunchao Wei UIUC Urbana-Champaign, IL, USA Ming-Ming Cheng ∗ Colledge of Computer Science, Nankai University cmm@nankai.edu.cn Abstract Recently, adver...	2018	775
8,002	Training deep learning based denoisers without ground truth data Shakarim Soltanayev Se Young Chun Department of Electrical Engineering Ulsan National Institute of Science and Technology (UNIST), Republic of Korea {shakarim,sychun}@unist.ac.kr Abstract Recently developed deep-learning-based denoisers of...	2018	776
8,003	Structural Causal Bandits: Where to Intervene? Sanghack Lee Department of Computer Science Purdue University lee2995@purdue.edu Elias Bareinboim Department of Computer Science Purdue University eb@purdue.edu Abstract We study the problem of identifying the best action in a sequential decisionmaking ...	2018	777
8,004	Scalar Posterior Sampling with Applications Georgios Theocharous Adobe Research theochar@adobe.com Zheng Wen Adobe Research zwen@adobe.com Yasin Abbasi-Yadkori Adobe Research abbasiya@adobe.com Nikos Vlassis Netﬂix nvlassis@netflix.com Abstract We propose a practical non-episodic PSRL algori...	2018	778
8,005	Ex ante coordination and collusion in zero-sum multi-player extensive-form games Gabriele Farina∗ Computer Science Department Carnegie Mellon University gfarina@cs.cmu.edu Andrea Celli∗ DEIB Politecnico di Milano andrea.celli@polimi.it Nicola Gatti DEIB Politecnico di Milano nicola.gatti@polim...	2018	779
8,006	Stein Variational Gradient Descent as Moment Matching Qiang Liu, Dilin Wang Department of Computer Science The University of Texas at Austin Austin, TX 78712 {lqiang, dilin}@cs.utexas.edu Abstract Stein variational gradient descent (SVGD) is a non-parametric inference algorithm that evolves a set of...	2018	78
8,007	Online Learning of Quantum States Scott Aaronson UT Austin ⇤ aaronson@cs.utexas.edu Xinyi Chen Google AI Princeton † xinyic@google.com Elad Hazan Princeton University and Google AI Princeton ehazan@cs.princeton.edu Satyen Kale Google AI, New York satyenkale@google.com Ashwin Nayak University...	2018	780
8,008	Realistic Evaluation of Deep Semi-Supervised Learning Algorithms Avital Oliver⇤, Augustus Odena⇤, Colin Raffel⇤, Ekin D. Cubuk & Ian J. Goodfellow Google Brain {avitalo,augustusodena,craffel,cubuk,goodfellow}@google.com Abstract Semi-supervised learning (SSL) provides a powerful framework for leveraging u...	2018	781
8,009	Long short-term memory and learning-to-learn in networks of spiking neurons Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein & Wolfgang Maass Institute for Theoretical Computer Science Graz University of Technology, Austria {bellec,salaj,subramoney,legenstein,maass}@igi.tugraz.at equ...	2018	782
8,010	Revisiting Decomposable Submodular Function Minimization with Incidence Relations Pan Li UIUC panli2@illinois.edu Olgica Milenkovic UIUC milenkov@illinois.edu Abstract We introduce a new approach to decomposable submodular function minimization (DSFM) that exploits incidence relations. Incidence relat...	2018	783
8,011	DifNet: Semantic Segmentation by Diffusion Networks Peng Jiang 1 Fanglin Gu 1 Yunhai Wang 1 Changhe Tu 1 Baoquan Chen 2,1 1Shandong University, China 2Peking University, China sdujump@gmail.com, fanglin.gu@gmail.com, cloudseawang@gmail.com chtu@sdu.edu.cn, baoquan.chen@gmail.com Abstract Deep Ne...	2018	784
8,012	Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing University of Illinois Urbana-Champaign {medhini2, slazebni, aschwing}@illinois.edu Abstract Accurately answering a question about a given image requires co...	2018	785
8,013	Distributed Multi-Player Bandits - a Game of Thrones Approach Ilai Bistritz Stanford University bistritz@stanford.edu Amir Leshem Bar Ilan University Amir.Leshem@biu.ac.il Abstract We consider a multi-armed bandit game where N players compete for K arms for T turns. Each player has different expecte...	2018	786
8,014	Scaling Gaussian Process Regression with Derivatives David Eriksson Center for Applied Mathematics Cornell University Ithaca, NY 14853 dme65@cornell.edu Kun Dong Center for Applied Mathematics Cornell University Ithaca, NY 14853 kd383@cornell.edu Eric Hans Lee Department of Computer Science Co...	2018	787
8,015	Deep Attentive Tracking via Reciprocative Learning Shi Pu1 Yibing Song2 Chao Ma3 Honggang Zhang1∗ Ming-Hsuan Yang4 1Beijing University of Posts and Telecommunications, Beijing, China {pushi_519200, zhhg}@bupt.edu.cn 2Tencent AI Lab, Shenzhen, China dynamicstevenson@gmail.com 3Shanghai Jiao Tong Univ...	2018	788
8,016	Trading robust representations for sample complexity through self-supervised visual experience Andrea Tacchetti∗ Stephen Voinea Georgios Evangelopoulos† The Center for Brains, Minds and Machines, MIT McGovern Institute for Brain Research at MIT Cambridge, MA, USA {atacchet, voinea, gevang}@mit.edu Abs...	2018	789
8,017	Data-Driven Clustering via Parameterized Lloyd’s Families Maria-Florina Balcan Department of Computer Science Carnegie-Mellon University Pittsburgh, PA 15213 ninamf@cs.cmu.edu Travis Dick Department of Computer Science Carnegie-Mellon University Pittsburgh, PA 15213 tdick@cs.cmu.edu Colin White ...	2018	79
8,018	Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere Yanjun Li CSL and Department of ECE University of Illinois Urbana-Champaign yli145@illinois.edu Yoram Bresler CSL and Department of ECE University of Illinois Urbana-Champaign ybresler@illinois.edu Abstract Multichannel b...	2018	790
8,019	Sample Efﬁcient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation Tomoya Murata NTT DATA Mathematical Systems Inc. , Tokyo, Japan murata@msi.co.jp Taiji Suzuki Department of Mathematical Informatics, Graduate School of Infor...	2018	791
8,020	Blockwise Parallel Decoding for Deep Autoregressive Models Mitchell Stern∗ University of California, Berkeley mitchell@berkeley.edu Noam Shazeer Google Brain noam@google.com Jakob Uszkoreit Google Brain usz@google.com Abstract Deep autoregressive sequence-to-sequence models have demonstrated imp...	2018	792
8,021	Sublinear Time Low-Rank Approximation of Distance Matrices Ainesh Bakshi Department of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 abakshi@cs.cmu.edu David P. Woodruff Department of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 dwoodruf@cs.cmu.edu Abstract...	2018	793
8,022	Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization Bruno Korbar Dartmouth College bruno.18@dartmouth.edu Du Tran Facebook Research trandu@fb.com Lorenzo Torresani Dartmouth College LT@dartmouth.edu Abstract There is a natural correlation between the visual and au...	2018	794
8,023	Submodular Field Grammars: Representation, Inference, and Application to Image Parsing Abram L. Friesen and Pedro Domingos Paul G. Allen School of Computer Science and Engineering University of Washington Seattle, WA 98195 {afriesen,pedrod}@cs.washington.edu Abstract Natural scenes contain many layers o...	2018	795
8,024	FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identiﬁcation Yixiao Ge1∗ Zhuowan Li2,3∗† Haiyu Zhao2 Guojun Yin2,4† Shuai Yi2 Xiaogang Wang1 Hongsheng Li1 ‡ 1CUHK-SenseTime Joint Laboratory, The Chinese University of Hong Kong 2SenseTime Research 3Johns Hopkins University 4Unive...	2018	796
8,025	Estimators for Multivariate Information Measures in General Probability Spaces Arman Rahimzamani Department of ECE University of Washington armanrz@uw.edu Himanshu Asnani Department of ECE University of Washington asnani@uw.edu Pramod Viswanath Department of ECE University of Illinois at Urbana-...	2018	797
8,026	Graphical Generative Adversarial Networks Chongxuan Li∗ licx14@mails.tsinghua.edu.cn Max Welling† M.Welling@uva.nl Jun Zhu∗ dcszj@mail.tsinghua.edu.cn Bo Zhang∗ dcszb@mail.tsinghua.edu.cn Abstract We propose Graphical Generative Adversarial Networks (Graphical-GAN) to model structured data. Graphi...	2018	798
8,027	Deep Homogeneous Mixture Models: Representation, Separation, and Approximation Priyank Jaini Department of Computer Science & Waterloo AI Institute University of Waterloo pjaini@uwaterloo.ca Pascal Poupart University of Waterloo, Vector Institute & Waterloo AI Institute ppoupart@uwaterloo.ca Yaoliang ...	2018	799
8,028	Contextual bandits with surrogate losses: Margin bounds and efﬁcient algorithms Dylan J. Foster Cornell University djfoster@cs.cornell.edu Akshay Krishnamurthy Microsoft Research, NYC akshay@cs.umass.edu Abstract We use surrogate losses to obtain several new regret bounds and new algorithms for cont...	2018	8
8,029	Semi-Supervised Learning with Declaratively Speciﬁed Entropy Constraints Haitian Sun Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213 haitians@cs.cmu.edu Lidong Bing∗ R&D Center Singapore Machine Intelligence Technology Alibaba DAMO Academy l.bing@alibaba-inc.com Willi...	2018	80
8,030	Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives Amit Dhurandhar∗ IBM Research Yorktown Heights, NY 10598 adhuran@us.ibm.com Pin-Yu Chen∗ IBM Research Yorktown Heights, NY 10598 pin-yu.chen@ibm.com Ronny Luss IBM Research Yorktown Heights, NY 10598 r...	2018	800
8,031	Community Exploration: From Ofﬂine Optimization to Online Learning Xiaowei Chen1, Weiran Huang2, Wei Chen3, John C.S. Lui1 1The Chinese University of Hong Kong 2Huawei Noah’s Ark Lab, 3Microsoft Research 1{xwchen, cslui}@cse.cuhk.edu.hk, 2huang.inbox@outlook.com 3weic@microsoft.com Abstract We introduce...	2018	801
8,032	Context-Aware Synthesis and Placement of Object Instances Donghoon Lee1,2∗, Sifei Liu3, Jinwei Gu3, Ming-Yu Liu3, Ming-Hsuan Yang2,4, Jan Kautz3 donghoon.lee@rllab.snu.ac.kr {sifeil, jinweig, mingyul}@nvidia.com mhyang@ucmerced.edu jkautz@nvidia.com 1Seoul National University, 2Google Cloud AI, ...	2018	802
8,033	Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo Rong Ge Duke University, Computer Science Department rongge@cs.duke.edu Holden Lee Princeton University, Mathematics Department holdenl@princeton.edu Andrej Risteski Massac...	2018	803
8,034	M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search ⇤Yelong Shen1, ⇤Jianshu Chen1, ⇤Po-Sen Huang2?, Yuqing Guo2, and Jianfeng Gao2 1Tencent AI Lab, Bellevue, WA, USA. {yelongshen, jianshuchen}@tencent.com 2Microsoft Research, Redmond, WA, USA {yuqguo, jfgao}@microsoft.com Abstract Learnin...	2018	804
8,035	Unsupervised Image-to-Image Translation Using Domain-Speciﬁc Variational Information Bound Hadi Kazemi hakazemi@mix.wvu.edu Sobhan Soleymani ssoleyma@mix.wvu.edu Fariborz Taherkhani fariborztaherkhani@gmail.com Seyed Mehdi Iranmanesh seiranmanesh@mix.wvu.edu Nasser M. Nasrabadi nasser.nasrabadi@ma...	2018	805
8,036	Group Equivariant Capsule Networks Jan Eric Lenssen Matthias Fey Pascal Libuschewski TU Dortmund University - Computer Graphics Group 44227 Dortmund, Germany {janeric.lenssen, matthias.fey, pascal.libuschewski}@udo.edu Abstract We present group equivariant capsule networks, a framework to introduce guar...	2018	806
8,037	Fairness Through Computationally-Bounded Awareness Michael P. Kim⇤ Stanford University mpk@cs.stanford.edu Omer Reingold⇤ Stanford University reingold@stanford.edu Guy N. Rothblum† Weizmann Institute of Science rothblum@alum.mit.edu Abstract We study the problem of fair classiﬁcation within the ...	2018	807
8,038	Geometry Based Data Generation Oﬁr Lindenbaum∗ Applied Mathematics Program Yale University New Haven, CT 06511 ofir.lindenbaum@yale.edu Jay S. Stanley III∗ Computational Biology & Bioinformatics Program Yale University New Haven, CT 06510 jay.stanley@yale.edu Guy Wolf† Applied Mathematics Progra...	2018	808
8,039	Searching for Efﬁcient Multi-Scale Architectures for Dense Image Prediction Liang-Chieh Chen Maxwell D. Collins Yukun Zhu George Papandreou Barret Zoph Florian Schroff Hartwig Adam Jonathon Shlens Google Inc. Abstract The design of neural network architectures is an important component for achie...	2018	809
8,040	Bayesian Inference of Temporal Task Speciﬁcations from Demonstrations Ankit Shah CSAIL, MIT ajshah@mit.edu Pritish Kamath CSAIL, MIT pritish@mit.edu Shen Li CSAIL, MIT shenli@mit.edu Julie Shah CSAIL, MIT julie_a_shah@mit.edu Abstract When observing task demonstrations, human apprentices a...	2018	81
8,041	Adversarial Scene Editing: Automatic Object Removal from Weak Supervision Rakshith Shetty1 Mario Fritz2 Bernt Schiele1 1Max Planck Institute for Informatics, Saarland Informatics Campus 2CISPA Helmholtz Center i.G., Saarland Informatics Campus Saarbrücken, Germany 1firstname.lastname@mpi-inf.mpg.de 2f...	2018	810
8,042	Variational Inverse Control with Events: A General Framework for Data-Driven Reward Deﬁnition Justin Fu∗ Avi Singh∗ Dibya Ghosh Larry Yang Sergey Levine University of California, Berkeley {justinfu, avisingh, dibyaghosh, larrywyang, svlevine}@berkeley.edu Abstract The design of a reward function oft...	2018	811
8,043	MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval Helena Pei´c Tukuljac Department of Computer and Communication Sciences École polytechnique fédérale de Lausanne helena.peictukuljac@epfl.ch Antoine Deleforge Université de Lorraine, CNRS, Inria, LORIA F-54000 Nancy, France antoine.del...	2018	812
8,044	Diminishing Returns Shape Constraints for Interpretability and Regularization Maya R. Gupta, Dara Bahri, Andrew Cotter, Kevin Canini Google AI 1600 Charleston Rd Mountain View, CA 94043 {mayagupta,dbahri,acotter,canini}@google.com Abstract We investigate machine learning models that can provide diminish...	2018	813
8,045	Breaking the Activation Function Bottleneck through Adaptive Parameterization Sebastian Flennerhag1, 2 Hujun Yin1, 2 John Keane1 Mark Elliot1 1University of Manchester 2The Alan Turing Institute sﬂennerhag@turing.ac.uk {hujun.yin, john.keane, mark.elliot}@manchester.ac.uk Abstract Standard neural ne...	2018	814
8,046	Sketching Method for Large Scale Combinatorial Inference Will Wei Sun Department of Management Science University of Miami wsun@bus.miami.edu Junwei Lu Department of Biostatistics Harvard University junweilu@hsph.harvard.edu Han Liu Department of Computer Science Northwestern University hanliu...	2018	815
8,047	Symbolic Graph Reasoning Meets Convolutions Xiaodan Liang1, Zhiting hu2 , Hao Zhang2 , Liang Lin3 , Eric P. Xing4 1 School of Intelligent Systems Engineering, Sun Yat-sen University 2Carnegie Mellon University 3 School of Data and Computer Science, Sun Yat-sen University 4Petuum Inc. xdliang328@gmail.com, {...	2018	816
8,048	Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements Ankush Mandal School of Computer Science Georgia Institute of Technology Atlanta, GA ankush@gatech.edu He Jiang Department of Computer Science Rice University Houston, TX cary.jiang@rice.edu Anshumali Shrivastava Departmen...	2018	817
8,049	The Price of Fair PCA: One Extra Dimension Samira Samadi Georgia Tech ssamadi6@gatech.edu Uthaipon Tantipongpipat Georgia Tech tao@gatech.edu Jamie Morgenstern Georgia Tech jamiemmt.cs@gatech.edu Mohit Singh Georgia Tech mohitsinghr@gmail.com Santosh Vempala Georgia Tech vempala@cc.gatech....	2018	818
8,050	Orthogonally Decoupled Variational Gaussian Processes Hugh Salimbeni∗ Imperial College London hrs13@ic.ac.uk Ching-An Cheng∗ Georgia Institute of Technology cacheng@gatech.edu Byron Boots Georgia Institute of Technology bboots@gatech.edu Marc Deisenroth Imperial College London mpd37@ic.ac.uk ...	2018	819
8,051	Stochastic Nested Variance Reduction for Nonconvex Optimization Dongruo Zhou Department of Computer Science University of California, Los Angeles Los Angeles, CA 90095 drzhou@cs.ucla.edu Pan Xu Department of Computer Science University of California, Los Angeles Los Angeles, CA 90095 panxu@cs.ucla...	2018	82
8,052	Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation Shivapratap Gopakumar, Sunil Gupta∗, Santu Rana, Vu Nguyen, Svetha Venkatesh Centre for Pattern Recognition and Data Analytics Deakin University, Geelong, Australia Abstract We introduce algorithmic assurance, the p...	2018	820
8,053	Domain-Invariant Projection Learning for Zero-Shot Recognition An Zhao1,• Mingyu Ding1,• Jiechao Guan1,• Zhiwu Lu1,∗Tao Xiang2,3 Ji-Rong Wen1 1Beijing Key Laboratory of Big Data Management and Analysis Methods School of Information, Renmin University of China, Beijing 100872, China 2School of EECS, Queen Mary...	2018	821
8,054	High Dimensional Linear Regression using Lattice Basis Reduction David Gamarnik Sloan School of Management Massachussetts Institute of Technology Cambridge, MA 02139 gamarnik@mit.edu Ilias Zadik Operations Research Center Massachussetts Institute of Technology Cambridge, MA 02139 izadik@mit.edu ...	2018	822
8,055	A Retrieve-and-Edit Framework for Predicting Structured Outputs Tatsunori B. Hashimoto Department of Computer Science Stanford University thashim@stanford.edu Kelvin Guu Department of Statistics Stanford University kguu@stanford.edu Yonatan Oren Department of Computer Science Stanford University...	2018	823
8,056	Efﬁcient inference for time-varying behavior during learning Nicholas A. Roy1 Ji Hyun Bak2 Athena Akrami1,3,∗ Carlos D. Brody1,3,4 Jonathan W. Pillow1,5 1Princeton Neuroscience Institute, Princeton University 2Korea Institute for Advanced Study 3Howard Hughes Medical Institute 4Dept. of Molecular Biology,...	2018	824
8,057	Re-evaluating Evaluation David Balduzzi⇤ Karl Tuyls⇤ Julien Perolat⇤ Thore Graepel⇤ Abstract “What we observe is not nature itself, but nature exposed to our method of questioning.” – Werner Heisenberg Progress in machine learning is measured by careful evaluation on problems of outstanding common inter...	2018	825
8,058	Learning Abstract Options Matthew Riemer, Miao Liu, and Gerald Tesauro IBM Research T.J. Watson Research Center, Yorktown Heights, NY {mdriemer, miao.liu1, gtesauro}@us.ibm.com Abstract Building systems that autonomously create temporal abstractions from data is a key challenge in scaling learning and pla...	2018	826
8,059	Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization Rad Niazadeh⇤ Department of Computer Science Stanford University, Stanford, CA 95130 rad@cs.stanford.edu Tim Roughgarden† Department of Computer Science Stanford University, Stanford, CA 95130 tim@cs.stanford.edu ...	2018	827
8,060	Sequential Context Encoding for Duplicate Removal Lu Qi1 Shu Liu1,3 Jianping Shi2 Jiaya Jia1,3 1The Chinese University of Hong Kong 2SenseTime Research 3 YouTu Lab, Tencent {luqi, sliu, leojia}@cse.cuhk.edu.hk shijianping@sensetime.com Abstract Duplicate removal is a critical step to accomplish a ...	2018	828
8,061	PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits Bianca Dumitrascu∗ Lewis Sigler Institute for Integrative Genomics Princeton University Princeton, NJ 08540 biancad@princeton.edu Karen Feng∗ Department of Computer Science Princeton University Princeton, NJ 08540 karenfeng@princeto...	2018	829
8,062	On Markov Chain Gradient Descent∗ Tao Sun College of Computer National University of Defense Technology Changsha, Hunan 410073, China nudtsuntao@163.com Yuejiao Sun Department of Mathematics University of California, Los Angeles Los Angeles, CA 90095, USA sunyj@math.ucla.edu Wotao Yin Department...	2018	83
8,063	Variance-Reduced Stochastic Gradient Descent on Streaming Data Ellango Jothimurugesan∗† Carnegie Mellon University ejothimu@cs.cmu.edu Ashraf Tahmasbi∗‡ Iowa State University tahmasbi@iastate.edu Phillip B. Gibbons† Carnegie Mellon University gibbons@cs.cmu.edu Srikanta Tirthapura‡ Iowa State Un...	2018	830
8,064	Reinforced Continual Learning Ju Xu Center for Data Science, Peking University Beijing, China xuju@pku.edu.cn Zhanxing Zhu ∗ Center for Data Science, Peking University & Beijing Institute of Big Data Research (BIBDR) Beijing, China zhanxing.zhu@pku.edu.cn Abstract Most artiﬁcial intelligence model...	2018	831
8,065	GradiVeQ: Vector Quantization for Bandwidth-Efﬁcient Gradient Aggregation in Distributed CNN Training Mingchao Yu⋄∗1, Zhifeng Lin⋄∗1, Krishna Narra⋄, Songze Li⋄, Youjie Li†, Nam Sung Kim†, Alexander Schwing†, Murali Annavaram⋄, and Salman Avestimehr⋄ ⋄University of Southern California †University of Illinoi...	2018	832
8,066	Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds Xiaohan Chen∗ Department of Computer Science and Engineering Texas A&M University College Station, TX 77843, USA chernxh@tamu.edu Jialin Liu∗ Department of Mathematics University of California, Los Angeles Los A...	2018	833
8,067	Optimization for Approximate Submodularity Avinatan Hassidim Bar Ilan University and Google avinatan@cs.biu.ac.il Yaron Singer Harvard University yaron@seas.harvard.edu Abstract We consider the problem of maximizing a submodular function when given access to its approximate version. Submodular functio...	2018	834
8,068	Efﬁcient Neural Network Robustness Certiﬁcation with General Activation Functions Huan Zhang1,†,∗ Tsui-Wei Weng2,† Pin-Yu Chen3 Cho-Jui Hsieh1 Luca Daniel2 1University of California, Los Angeles, Los Angeles CA 90095 2Massachusetts Institute of Technology, Cambridge, MA 02139 3MIT-IBM Watson AI Lab, I...	2018	835
8,069	Neural Edit Operations for Biological Sequences Satoshi Koide Toyota Central R&D Labs. koide@mosk.tytlabs.co.jp Keisuke Kawano Toyota Central R&D Labs. kawano@mosk.tytlabs.co.jp Takuro Kutsuna Toyota Central R&D Labs. kutsuna@mosk.tytlabs.co.jp Abstract The evolution of biological sequences, such ...	2018	836
8,070	Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning Tyler R. Scott, Karl Ridgeway, Michael C. Mozer Department of Computer Science University of Colorado, Boulder {tysc7237,karl.ridgeway,mozer}@colorado.edu Abstract The focus in machine learning has branched beyond train...	2018	837
8,071	Some Considerations on Learning to Explore via Meta-Reinforcement Learning Bradly C. Stadie∗ UC Berkeley Ge Yang∗ University of Chicago Rein Houthooft OpenAI Xi Chen Covariant.ai Yan Duan Covariant.ai Yuhuai Wu University of Toronto Pieter Abbeel UC Berkeley Ilya Sutskever OpenAI Abs...	2018	838
8,072	KONG: Kernels for ordered-neighborhood graphs Moez Draief1 Konstantin Kutzkov2 Kevin Scaman1 Milan Vojnovic2 1 Huawei Noah’s Ark Lab 2 London School of Economics, London moez.draief@huawei.com, kutzkov@gmail.com (Corresponding author), kevin.scaman@huawei.com, m.vojnovic@lse.ac.uk Abstract We presen...	2018	839
8,073	The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization Constantinos Daskalakis CSAIL MIT Cambridge, MA 02138 costis@csail.mit.edu Ioannis Panageas ISTD SUTD Singapore, 487371 ioannis@sutd.edu.sg Abstract Motivated by applications in Optimization, Game Theory, and the trainin...	2018	84
8,074	Glow: Generative Flow with Invertible 1×1 Convolutions Diederik P. Kingma†, Prafulla Dhariwal∗ OpenAI †Google AI Abstract Flow-based generative models (Dinh et al., 2014) are conceptually attractive due to tractability of the exact log-likelihood, tractability of exact latent-variable inference, and p...	2018	840
8,075	Efﬁcient Projection onto the Perfect Phylogeny Model Bei Jia∗ jiabe@bc.edu Surjyendu Ray raysc@bc.edu Boston College Sam Safavi safavisa@bc.edu José Bento jose.bento@bc.edu Abstract Several algorithms build on the perfect phylogeny model to infer evolutionary trees. This problem is particularly ...	2018	841
8,076	Do Less, Get More: Streaming Submodular Maximization with Subsampling Moran Feldman Open University of Israel moranfe@openu.ac.il Amin Karbasi Yale University amin.karbasi@yale.edu Ehsan Kazemi Yale University ehsan.kazemi@yale.edu Abstract In this paper, we develop the ﬁrst one-pass streaming a...	2018	842
8,077	Temporal alignment and latent Gaussian process factor inference in population spike trains Lea Duncker & Maneesh Sahani Gatsby Computational Neuroscience Unit University College London London, W1T 4JG {duncker,maneesh}@gatsby.ucl.ac.uk Abstract We introduce a novel scalable approach to identifying commo...	2018	843
8,078	Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization Minshuo Chen1 Lin F. Yang2 Mengdi Wang2 Tuo Zhao1 1Georgia Institute of Technology 2Princeton University 1{mchen393, tourzhao}@gatech.edu 2{lin.yang, mengdiw}@princeton.edu Abstract Stochastic optimization na...	2018	844
8,079	Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling Yunzhe Tao School of Engineering and Applied Science Columbia University, USA y.tao@columbia.edu Qi Sun BCSRC & USTC Beijing, China sunqi@csrc.ac.cn Qiang Du School of Engineering and Applied Science Columbia University, USA qd...	2018	845
8,080	Partially-Supervised Image Captioning Peter Anderson Macquarie University∗ Sydney, Australia p.anderson@mq.edu.au Stephen Gould Australian National University Canberra, Australia stephen.gould@anu.edu.au Mark Johnson Macquarie University Sydney, Australia mark.johnson@mq.edu.au Abstract Imag...	2018	846
8,081	SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient Aaron Mishkin∗ University of British Columbia Vancouver, Canada amishkin@cs.ubc.ca Frederik Kunstner∗ Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland frederik.kunstner@epfl.ch Didrik Niel...	2018	847
8,082	On Learning Markov Chains Yi HAO Dept. of Electrical and Computer Engineering University of California, San Diego La Jolla, CA 92093 yih179@ucsd.edu Alon Orlitsky Dept. of Electrical and Computer Engineering University of California, San Diego La Jolla, CA 92093 alon@ucsd.edu Venkatadheeraj Pichap...	2018	848
8,083	Is Q-learning Provably Efﬁcient? Chi Jin∗ University of California, Berkeley chijin@cs.berkeley.edu Zeyuan Allen-Zhu∗ Microsoft Research, Redmond zeyuan@csail.mit.edu Sebastien Bubeck Microsoft Research, Redmond sebubeck@microsoft.com Michael I. Jordan University of California, Berkeley jordan@c...	2018	849
8,084	Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited ∗ Di Wang Marco Gaboardi Jinhui Xu Department of Computer Science and Engineering State University of New York at Buffalo Buffalo, NY, 14260 Email:{dwang45,gaboardi,jinhui}@buffalo.edu Abstract In this paper, we revi...	2018	85
8,085	Preference Based Adaptation for Learning Objectives Yao-Xiang Ding Zhi-Hua Zhou National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China {dingyx, zhouzh}@lamda.nju.edu.cn Abstract In many real-world learning tasks, it is hard to directly optimize the true performan...	2018	850
8,086	Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds David Reeb Andreas Doerr Sebastian Gerwinn Barbara Rakitsch Bosch Center for Artiﬁcial Intelligence∗ Robert-Bosch-Campus 1 71272 Renningen, Germany {david.reeb,andreas.doerr3,sebastian.gerwinn,barbara.rakitsch}@de.bosch.com ...	2018	851
8,087	Learning Invariances using the Marginal Likelihood Mark van der Wilk PROWLER.io Cambridge, UK mark@prowler.io Matthias Bauer MPI for Intelligent Systems University of Cambridge msb55@cam.ac.uk ST John PROWLER.io Cambridge, UK st@prowler.io James Hensman PROWLER.io Cambridge, UK james@pro...	2018	852
8,088	NEON2: Finding Local Minima via First-Order Oracles Zeyuan Allen-Zhu∗ Microsoft Research AI Redmond, WA 98052 zeyuan@csail.mit.edu Yuanzhi Li∗ Stanford University Stanford, CA 94305 yuanzhil@stanford.edu Abstract We propose a reduction for non-convex optimization that can (1) turn an stationary-...	2018	853
8,089	Genetic-Gated Networks for Deep Reinforcement Learning Simyung Chang Seoul National University, Samsung Electronics Seoul, Korea timelighter@snu.ac.kr John Yang Seoul National University Seoul, Korea yjohn@snu.ac.kr Jaeseok Choi Seoul National University Seoul, Korea jaeseok.choi@snu.ac.kr ...	2018	854
8,090	Lipschitz regularity of deep neural networks: analysis and efﬁcient estimation Kevin Scaman Huawei Noah’s Ark Lab kevin.scaman@huawei.com Aladin Virmaux Huawei Noah’s Ark Lab aladin.virmaux@huawei.com Abstract Deep neural networks are notorious for being sensitive to small well-chosen perturbations, a...	2018	855
8,091	Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization Robert M. Gower Télécom ParisTech Paris, France robert.gower@telecom-paristech.fr Filip Hanzely KAUST Thuwal, Saudi Arabia filip.hanzely@kaust.edu.sa Peter Richtárik⇤ KAUST T...	2018	856
8,092	Blind Deconvolutional Phase Retrieval via Convex Programming Ali Ahmed Department of Electrical Engineering Information Technology University Lahore, Pakistan. ali.ahmed@itu.edu.pk Alireza Aghasi Department of Business Analytics Georgia State University Atlanta, GA. aaghasi@gsu.edu Paul Hand C...	2018	857
8,093	Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You1∗ jiaxuan@stanford.edu Bowen Liu2∗ liubowen@stanford.edu Rex Ying1 rexying@stanford.edu Vijay Pande3 pande@stanford.edu Jure Leskovec1 jure@cs.stanford.edu 1Department of Computer Science, 2Department o...	2018	858
8,094	Spectral Filtering for General Linear Dynamical Systems Elad Hazan Princeton University & Google AI Princeton ehazan@cs.princeton.edu Holden Lee Princeton University holdenl@princeton.edu Karan Singh Princeton University & Google AI Princeton karans@cs.princeton.edu Cyril Zhang Princeton Univers...	2018	859
8,095	Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su1 Chao Zhang1∗ Kai Han1,3 Yonghong Tian1,2 1Key Laboratory of Machine Perception (MOE), School of EECS, Peking University 2National Engineering Laboratory for Video Technology, School of EECS, Peking University 3Huawei Noah...	2018	86
8,096	Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base Daya Guo1∗, Duyu Tang2, Nan Duan2, Ming Zhou2, and Jian Yin1 1 The School of Data and Computer Science, Sun Yat-sen University. Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, P.R.China 2 Microsoft R...	2018	860
8,097	Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language Seonghyeon Nam, Yunji Kim, and Seon Joo Kim Yonsei University {shnnam,kim_yunji,seonjookim}@yonsei.ac.kr Abstract This paper addresses the problem of manipulating images using natural language description. Our task ai...	2018	861
8,098	Exploration in Structured Reinforcement Learning Jungseul Ok KTH, EECS Stockholm, Sweden ockjs@illinois.edu Alexandre Proutiere KTH, EECS Stockholm, Sweden alepro@kth.se Damianos Tranos KTH, EECS Stockholm, Sweden tranos@kth.se Abstract We address reinforcement learning problems with ﬁnite s...	2018	862
8,099	Tree-to-tree Neural Networks for Program Translation Xinyun Chen UC Berkeley xinyun.chen@berkeley.edu Chang Liu UC Berkeley liuchang2005acm@gmail.com Dawn Song UC Berkeley dawnsong@cs.berkeley.edu Abstract Program translation is an important tool to migrate legacy code in one language into an ...	2018	863

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