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[556] Multi-Task Zipping via Layer-wise Neuron Sharing
Authors: Xiaoxi He Zimu Zhou Lothar Thiele

[557] Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Authors: Oren Mangoubi

Nisheeth Vishnoi

[558] Approximation algorithms for stochastic clustering
Authors: David Harris Shi Li Aravind Srinivasan Khoa Trinh Thomas Pensyl

[559] Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks
Authors: Xiaodong Cui Wei Zhang Zoltán Tüske Michael Picheny

[560] Learning to Infer Graphics Programs from Hand-Drawn Images
Authors: Kevin Ellis Daniel Ritchie Armando Solar-Lezama Josh Tenenbaum

[561] Graphical Generative Adversarial Networks
Authors: Chongxuan LI Max Welling Jun Zhu Bo Zhang

[562] Variational Learning on Aggregate Outputs with Gaussian Processes

Authors: Ho Chung Law Dino Sejdinovic Ewan Cameron Tim Lucas Seth Flaxman Katherine Battle Kenji Fukumizu

[563] MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models
Authors: Boyuan Pan Yazheng Yang Hao Li Zhou Zhao Yueting Zhuang Deng Cai Xiaofei He

[564] Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Authors: Ali Shafahi W. Ronny Huang Mahyar Najibi Octavian Suciu Christoph Studer Tudor Dumitras Tom Goldstein

[565] Information Constraints on Auto-Encoding Variational Bayes
Authors: Romain Lopez Jeffrey Regier Michael I. Jordan Nir Yosef

[566] Recurrent Transformer Networks for Semantic Correspondence
Authors: Seungryong Kim Stephen Lin SANG RYUL JEON Dongbo Min Kwanghoon Sohn

[567] Online convex optimization for cumulative constraints
Authors: Jianjun Yuan Andrew Lamperski

[568] Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
Authors: David Madras Toni Pitassi Richard Zemel

[569] Deep State Space Models for Unconditional Word Generation
Authors: Florian Schmidt Thomas Hofmann

[570] ResNet with one-neuron hidden layers is a Universal Approximator
Authors: Hongzhou Lin Stefanie Jegelka

[571] Transfer of Value Functions via Variational Methods
Authors: Andrea Tirinzoni Rafael Rodriguez Sanchez Marcello Restelli

[572] The Cluster Description Problem - Complexity Results, Formulations and Approximations
Authors: Ian Davidson Antoine Gourru S Ravi

[573] Sharp Bounds for Generalized Uniformity Testing
Authors: Ilias Diakonikolas Daniel M. Kane Alistair Stewart

[574] Deep Neural Networks with Box Convolutions
Authors: Egor Burkov Victor Lempitsky

[575] Learning towards Minimum Hyperspherical Energy
Authors: Weiyang Liu Rongmei Lin Zhen Liu Lixin Liu Zhiding Yu Bo Dai Le Song

[576] LF-Net: Learning Local Features from Images
Authors: Yuki Ono Eduard Trulls Pascal Fua Kwang Moo Yi

[577] SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
Authors: Aaron Mishkin Frederik Kunstner Didrik Nielsen Mark Schmidt Mohammad Emtiyaz Khan

[578] Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
Authors: Bart van Merrienboer Dan Moldovan Alexander Wiltschko

[579] Multi-domain Causal Structure Learning in Linear Systems
Authors: AmirEmad Ghassami Negar Kiyavash Biwei Huang Kun Zhang

[580] Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Authors: Borja Balle Gilles Barthe Marco Gaboardi

[581] Exponentially Weighted Imitation Learning for Batched Historical Data
Authors: Qing Wang Jiechao Xiong Lei Han peng sun Han Liu Tong Zhang

[582] Algebraic tests of general Gaussian latent tree models
Authors: Dennis Leung Mathias Drton

[583] Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Authors: Minjia Zhang Wenhan Wang Xiaodong Liu Jianfeng Gao Yuxiong He

[584] Deep Structured Prediction with Nonlinear Output Transformations
Authors: Colin Graber Ofer Meshi Alexander Schwing

[585] Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling
Authors: Emilie Kaufmann Wouter M. Koolen Aurélien Garivier

[586] Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization
Authors: Bargav Jayaraman Lingxiao Wang David Evans Quanquan Gu

[587] A no-regret generalization of hierarchical softmax to extreme multi-label classification
Authors: Marek Wydmuch Kalina Jasinska Mikhail Kuznetsov Róbert Busa-Fekete Krzysztof Dembczynski

[588] Efficient Formal Safety Analysis of Neural Networks
Authors: Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana

[589] Bayesian Distributed Stochastic Gradient Descent
Authors: Michael Teng Frank Wood

[590] Visualizing the Loss Landscape of Neural Nets
Authors: Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein

[591] The Limits of Post-Selection Generalization
Authors: Jonathan Ullman Adam Smith Kobbi Nissim Uri Stemmer Thomas Steinke

[592] Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Authors: Jiaxuan You Bowen Liu Zhitao Ying Vijay Pande Jure Leskovec

[593] On Controllable Sparse Alternatives to Softmax
Authors: Anirban Laha Saneem Ahmed Chemmengath Priyanka Agrawal Mitesh Khapra Karthik Sankaranarayanan Harish G. Ramaswamy

[594] L4: Practical loss-based stepsize adaptation for deep learning
Authors: Michal Rolinek Georg Martius

[595] Learning Latent Subspaces in Variational Autoencoders
Authors: Jack Klys Jake Snell Richard Zemel

[596] Turbo Learning for CaptionBot and DrawingBot
Authors: Qiuyuan Huang Pengchuan Zhang Dapeng Wu Lei Zhang

[597] Learning to Teach with Dynamic Loss Functions
Authors: Lijun Wu Fei Tian Yingce Xia Yang Fan Tao Qin Lai Jian-Huang Tie-Yan Liu

[598] Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Authors: Edward Smith Scott Fujimoto David Meger

[599] Size-Noise Tradeoffs in Generative Networks
Authors: Bolton Bailey Matus J. Telgarsky

[600] Online Adaptive Methods, Universality and Acceleration
Authors: Yehuda Kfir Levy Alp Yurtsever Volkan Cevher

[601] Compact Generalized Non-local Network
Authors: Kaiyu Yue Ming Sun Yuchen Yuan Feng Zhou Errui Ding Fuxin Xu

[602] On the Local Hessian in Back-propagation
Authors: Huishuai Zhang Wei Chen Tie-Yan Liu

[603] The Everlasting Database: Statistical Validity at a Fair Price
Authors: Blake E. Woodworth Vitaly Feldman Saharon Rosset Nati Srebro

[604] Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
Authors: Yusuke Tsuzuku Issei Sato Masashi Sugiyama

[605] Proximal SCOPE for Distributed Sparse Learning
Authors: Shenyi Zhao Gong-Duo Zhang Ming-Wei Li Wu-Jun Li

[606] On Coresets for Logistic Regression
Authors: Alexander Munteanu Chris Schwiegelshohn Christian Sohler David Woodruff

[607] Neural Ordinary Differential Equations
Authors:

[608] Unsupervised Learning of Artistic Styles with Archetypal Style Analysis
Authors: Daan Wynen Cordelia Schmid Julien Mairal

[609] Approximating Real-Time Recurrent Learning with Random Kronecker Factors
Authors: Asier Mujika Florian Meier Angelika Steger

[610] Contamination Attacks and Mitigation in Multi-Party Machine Learning
Authors: Jamie Hayes Olga Ohrimenko

[611] An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
Authors: Sheng Chen Arindam Banerjee

[612] Incorporating Context into Language Encoding Models for fMRI
Authors: Shailee Jain Alexander Huth

[613] CatBoost: unbiased boosting with categorical features
Authors: Liudmila Prokhorenkova Gleb Gusev Aleksandr Vorobev Anna Veronika Dorogush Andrey Gulin

[614] Query K-means Clustering and the Double Dixie Cup Problem
Authors: I Chien Chao Pan Olgica Milenkovic

[615] Training Neural Networks Using Features Replay
Authors: Zhouyuan Huo Bin Gu Heng Huang

[616] Modeling Dynamic Missingness of Implicit Feedback for Recommendation
Authors: Menghan Wang Mingming Gong Xiaolin Zheng Kun Zhang

[617] Representation Learning of Compositional Data
Authors: Marta Avalos Richard Nock Cheng Soon Ong Julien Rouar Ke Sun

[618] Model-based targeted dimensionality reduction for neuronal population data
Authors: Mikio Aoi Jonathan W. Pillow

[619] On gradient regularizers for MMD GANs
Authors: Michael Arbel Dougal Sutherland Mikołaj Bińkowski Arthur Gretton

[620] Heterogeneous Multi-output Gaussian Process Prediction
Authors: Pablo Moreno-Muñoz Antonio Artés Mauricio Álvarez

[621] Large-Scale Stochastic Sampling from the Probability Simplex
Authors: Jack Baker Paul Fearnhead Emily Fox Christopher Nemeth

[622] Policy Regret in Repeated Games
Authors: Raman Arora Michael Dinitz Teodor Vanislavov Marinov Mehryar Mohri

[623] A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice
Authors: Hendrik Fichtenberger Dennis Rohde

[624] Banach Wasserstein GAN
Authors: Jonas Adler Sebastian Lunz

[625] Provable Gaussian Embedding with One Observation
Authors: Ming Yu Zhuoran Yang Tuo Zhao Mladen Kolar Princeton Zhaoran Wang

[626] BRITS: Bidirectional Recurrent Imputation for Time Series
Authors: Wei Cao Dong Wang Jian Li Hao Zhou Lei Li Yitan Li

[627] M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Authors: Yelong Shen Jianshu Chen Po-Sen Huang Yuqing Guo Jianfeng Gao

[628] Extracting Relationships by Multi-Domain Matching
Authors: Yitong Li michael Murias geraldine Dawson David E. Carlson

[629] Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses
Authors: Corinna Cortes Vitaly Kuznetsov Mehryar Mohri Dmitry Storcheus Scott Yang

[630] Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Authors: Stanislav Pidhorskyi Ranya Almohsen Gianfranco Doretto

[631] Diminishing Returns Shape Constraints for Interpretability and Regularization
Authors: Maya Gupta Dara Bahri Andrew Cotter Kevin Canini

[632] Scalable Hyperparameter Transfer Learning
Authors: Valerio Perrone Rodolphe Jenatton Matthias W. Seeger Cedric Archambeau

[633] Stochastic Nonparametric Event-Tensor Decomposition
Authors: Shandian Zhe Yishuai Du

[634] Scaling Gaussian Process Regression with Derivatives
Authors: David Eriksson Kun Dong Eric Lee David Bindel Andrew G. Wilson

[635] Differentially Private Testing of Identity and Closeness of Discrete Distributions
Authors: Jayadev Acharya Ziteng Sun Huanyu Zhang

[636] Bayesian Adversarial Learning
Authors: Nanyang Ye Zhanxing Zhu

[637] Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms
Authors: Kishan Wimalawarne Hiroshi Mamitsuka

[638] Maximizing Induced Cardinality Under a Determinantal Point Process
Authors: Jennifer A. Gillenwater Alex Kulesza Sergei Vassilvitskii Zelda E. Mariet

[639] Causal Inference with Noisy and Missing Covariates via Matrix Factorization
Authors: Nathan Kallus Xiaojie Mao Madeleine Udell

[640] rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions
Authors: Mathieu Fehr Olivier Buffet Vincent Thomas Jilles Dibangoye

[641] Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks
Authors: Agastya Kalra Abdullah Rashwan Wei-Shou Hsu Pascal Poupart Prashant Doshi Georgios Trimponias

[642] Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss
Authors: Stephen Mussmann Percy S. Liang

[643] A Probabilistic U-Net for Segmentation of Ambiguous Images
Authors: Simon Kohl Bernardino Romera-Paredes Clemens Meyer Jeffrey De Fauw Joseph R. Ledsam Klaus Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger

[644] Unorganized Malicious Attacks Detection
Authors: Ming Pang Wei Gao Min Tao Zhi-Hua Zhou

[645] Causal Inference via Kernel Deviance Measures
Authors: Jovana Mitrovic Dino Sejdinovic Yee Whye Teh

[646] Bayesian Alignments of Warped Multi-Output Gaussian Processes
Authors: Markus Kaiser Clemens Otte Thomas Runkler Carl Henrik Ek

[647] Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
Authors: Yingyezhe Jin Wenrui Zhang Peng Li

[648] Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation
Authors: Kush Bhatia Aldo Pacchiano Nicolas Flammarion Peter L. Bartlett Michael I. Jordan

[649] Efficient online algorithms for fast-rate regret bounds under sparsity
Authors: Pierre Gaillard Olivier Wintenberger

[650] GILBO: One Metric to Measure Them All
Authors: Alexander A. Alemi Ian Fischer

[651] Predictive Uncertainty Estimation via Prior Networks
Authors: Andrey Malinin Mark Gales

[652] Dual Policy Iteration
Authors: Wen Sun Geoffrey J. Gordon Byron Boots J. Bagnell

[653] A probabilistic population code based on neural samples
Authors:

[654] Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks
Authors: Anirvan Sengupta Cengiz Pehlevan Mariano Tepper Alexander Genkin Dmitri Chklovskii

[655] On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Authors: Maziar Sanjabi Jimmy Ba Meisam Razaviyayn Jason D. Lee

[656] Model-Agnostic Private Learning
Authors:

[657] Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Authors: Tengfei Ma Jie Chen Cao Xiao

[658] Provably Correct Automatic Sub-Differentiation for Qualified Programs
Authors: Sham M. Kakade Jason D. Lee

[659] Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
Authors: Priyank Jaini Pascal Poupart Yaoliang Yu

[660] Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks
Authors: Grant Rotskoff Eric Vanden-Eijnden

[661] Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
Authors: Sungryull Sohn Junhyuk Oh Honglak Lee

[662] A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Authors: Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin

[663] End-to-End Differentiable Physics for Learning and Control
Authors: Filipe de Avila Belbute-Peres Kevin Smith Kelsey Allen Josh Tenenbaum J. Zico Kolter

[664] BRUNO: A Deep Recurrent Model for Exchangeable Data
Authors: Iryna Korshunova Jonas Degrave Ferenc Huszar Yarin Gal Arthur Gretton Joni Dambre

[665] Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
Authors: Fabian Sinz Alexander S. Ecker Paul Fahey Edgar Walker Erick Cobos Emmanouil Froudarakis Dimitri Yatsenko Zachary Pitkow Jacob Reimer Andreas Tolias

[666] Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Authors: Roei Herzig Moshiko Raboh Gal Chechik Jonathan Berant Amir Globerson

[667] Distributed Multi-Player Bandits - a Game of Thrones Approach
Authors: Ilai Bistritz Amir Leshem

[668] Efficient Loss-Based Decoding on Graphs for Extreme Classification
Authors: Itay Evron Edward Moroshko Koby Crammer

[669] Chaining Mutual Information and Tightening Generalization Bounds
Authors: Amir Asadi Emmanuel Abbe Sergio Verdu

[670] Implicit Probabilistic Integrators for ODEs
Authors: Onur Teymur Han Cheng Lie Tim Sullivan Ben Calderhead

[671] Learning Attentional Communication for Multi-Agent Cooperation
Authors: Jiechuan Jiang Zongqing Lu

[672]

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