【NIPS 2018】完整论文下载链接-续
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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] Training Deep Models Faster with Robust, Approximate Importance Sampling
Authors: Tyler B. Johnson Carlos Guestrin
[673] Bandit Learning with Implicit Feedback
Authors: Yi Qi Qingyun Wu Hongning Wang Jie Tang Maosong Sun
[674] Unsupervised Text Style Transfer using Language Models as Discriminators
Authors: Zichao Yang Zhiting Hu Chris Dyer Eric P. Xing Taylor Berg-Kirkpatrick
[675] Relational recurrent neural networks
Authors: Adam Santoro Ryan Faulkner David Raposo Jack Rae Mike Chrzanowski Theophane Weber Daan Wierstra Oriol Vinyals Razvan Pascanu Timothy Lillicrap
[676] Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features
Authors: Md Enayat Ullah Poorya Mianjy Teodor Vanislavov Marinov Raman Arora
[677] REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
Authors: Yu-Shao Peng Kai-Fu Tang Hsuan-Tien Lin Edward Chang
[678] Bayesian Model-Agnostic Meta-Learning
Authors: Jaesik Yoon Taesup Kim Ousmane Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn
[679] Disconnected Manifold Learning for Generative Adversarial Networks
Authors: Mahyar Khayatkhoei Maneesh K. Singh Ahmed Elgammal
[680] Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
Authors: Yu-An Chung Wei-Hung Weng Schrasing Tong James Glass
[681] Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
Authors: Victor-Emmanuel Brunel
[682] Out-of-Distribution Detection using Multiple Semantic Label Representations
Authors: Gabi Shalev Yossi Adi Joseph Keshet
[683] Stochastic Chebyshev Gradient Descent for Spectral Optimization
Authors: Insu Han Haim Avron Jinwoo Shin
[684] Revisiting (\epsilon, \gamma, \tau)-similarity learning for domain adaptation
Authors: Sofiane Dhouib Ievgen Redko
[685] How to tell when a clustering is (approximately) correct using convex relaxations
Authors: Marina Meila
[686] Constant Regret, Generalized Mixability, and Mirror Descent
Authors: Zakaria Mhammedi Robert C. Williamson
[687] A Bayesian Approach to Generative Adversarial Imitation Learning
Authors: Wonseok Jeon Seokin Seo Kee-Eung Kim
[688] Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
Authors: Alyson K. Fletcher Parthe Pandit Sundeep Rangan Subrata Sarkar Philip Schniter
[689] Constrained Cross-Entropy Method for Safe Reinforcement Learning
Authors: Min Wen Ufuk Topcu
[690] Multi-Agent Generative Adversarial Imitation Learning
Authors: Jiaming Song Hongyu Ren Dorsa Sadigh Stefano Ermon
[691] Adaptive Learning with Unknown Information Flows
Authors: Yonatan Gur Ahmadreza Momeni
[692] Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
Authors: Bryan Lim
[693] Generative modeling for protein structures
Authors: Namrata Anand Possu Huang
[694] Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo
Authors: Marton Havasi José Miguel Hernández-Lobato Juan José Murillo-Fuentes
[695] Knowledge Distillation by On-the-Fly Native Ensemble
Authors: xu lan Xiatian Zhu Shaogang Gong
[696] Non-Adversarial Mapping with VAEs
Authors: Yedid Hoshen
[697] Generalisation in humans and deep neural networks
Authors: Robert Geirhos Carlos R. M. Temme Jonas Rauber Heiko H. Schütt Matthias Bethge Felix A. Wichmann
[698] Towards Text Generation with Adversarially Learned Neural Outlines
Authors: Sandeep Subramanian Sai Rajeswar Mudumba Alessandro Sordoni Adam Trischler Aaron C. Courville Chris Pal
[699] cpSGD: Communication-efficient and differentially-private distributed SGD
Authors: Naman Agarwal Ananda Theertha Suresh Felix Xinnan X. Yu Sanjiv Kumar Brendan McMahan
[700] GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
Authors: Jacob Gardner Geoff Pleiss Kilian Q. Weinberger David Bindel Andrew G. Wilson
[701] Diffusion Maps for Textual Network Embedding
Authors: Xinyuan Zhang Yitong Li Dinghan Shen Lawrence Carin
[702] Simple, Distributed, and Accelerated Probabilistic Programming
Authors: Dustin Tran Matthew W. Hoffman Dave Moore Christopher Suter Srinivas Vasudevan Alexey Radul
[703] VideoCapsuleNet: A Simplified Network for Action Detection
Authors: Kevin Duarte Yogesh Rawat Mubarak Shah
[704] Rectangular Bounding Process
Authors: Xuhui Fan Bin Li Scott SIsson
[705] Improved Algorithms for Collaborative PAC Learning
Authors: Huy Nguyen Lydia Zakynthinou
[706] Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
Authors: Nan Rosemary Ke Anirudh Goyal ALIAS PARTH GOYAL Olexa Bilaniuk Jonathan Binas Michael C. Mozer Chris Pal Yoshua Bengio
[707] Communication Compression for Decentralized Training
Authors: Hanlin Tang Shaoduo Gan Ce Zhang Tong Zhang Ji Liu
[708] Depth-Limited Solving for Imperfect-Information Games
Authors: Noam Brown Tuomas Sandholm Brandon Amos
[709] Training Deep Neural Networks with 8-bit Floating Point Numbers
Authors: Naigang Wang Jungwook Choi Daniel Brand Chia-Yu Chen Kailash Gopalakrishnan
[710] Scalar Posterior Sampling with Applications
Authors: Georgios Theocharous Zheng Wen Yasin Abbasi Nikos Vlassis
[711] Understanding Batch Normalization
Authors: Nils Bjorck Carla P. Gomes Bart Selman Kilian Q. Weinberger
[712] Adversarial Scene Editing: Automatic Object Removal from Weak Supervision
Authors: Rakshith R. Shetty Mario Fritz Bernt Schiele
[713] Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
Authors: Guanhong Tao Shiqing Ma Yingqi Liu Xiangyu Zhang
[714] On Neuronal Capacity
Authors:
[715] Breaking the Activation Function Bottleneck through Adaptive Parameterization
Authors: Sebastian Flennerhag Hujun Yin John Keane Mark Elliot
[716] Learning Loop Invariants for Program Verification
Authors: Xujie Si Hanjun Dai Mukund Raghothaman Mayur Naik Le Song
[717] Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization
Authors: Bruno Korbar Du Tran Lorenzo Torresani
[718] Towards Robust Interpretability with Self-Explaining Neural Networks
Authors: David Alvarez Melis Tommi Jaakkola
[719] Deep State Space Models for Time Series Forecasting
Authors: Syama Sundar Rangapuram Matthias W. Seeger Jan Gasthaus Lorenzo Stella Yuyang Wang Tim Januschowski
[720] Constrained Graph Variational Autoencoders for Molecule Design
Authors: Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander Gaunt
[721] Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
Authors: Kevin Ellis Lucas Morales Mathias Sablé-Meyer Armando Solar-Lezama Josh Tenenbaum
[722] Neural Architecture Optimization
Authors: Renqian Luo Fei Tian Tao Qin Enhong Chen Tie-Yan Liu
[723] Preference Based Adaptation for Learning Objectives
Authors: Yao-Xiang Ding Zhi-Hua Zhou
[724] Distributed k-Clustering for Data with Heavy Noise
Authors: Shi Li Xiangyu Guo
[725] Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
Authors: HOLDEN LEE Andrej Risteski Rong Ge
[726] A General Method for Amortizing Variational Filtering
Authors: Joseph Marino Milan Cvitkovic Yisong Yue
[727] A Reduction for Efficient LDA Topic Reconstruction
Authors: Matteo Almanza Flavio Chierichetti Alessandro Panconesi Andrea Vattani
[728] Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Authors: Dominik Linzner Heinz Koeppl
[729] RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
Authors: Thu H. Nguyen-Phuoc Chuan Li Stephen Balaban Yongliang Yang
[730] Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
Authors: RUI GAO Liyan Xie Yao Xie Huan Xu
[731] Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks
Authors: Zhihao Zheng Pengyu Hong
[732] Monte-Carlo Tree Search for Constrained POMDPs
Authors: Jongmin Lee Geon-hyeong Kim Pascal Poupart Kee-Eung Kim
[733] Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
Authors: Jacob Harer Onur Ozdemir Tomo Lazovich Christopher Reale Rebecca Russell Louis Kim peter chin
[734] Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation
Authors: Tianyu He Xu Tan Yingce Xia Di He Tao Qin Zhibo Chen Tie-Yan Liu
[735] Dirichlet belief networks for topic structure learning
Authors: He Zhao Lan Du Wray Buntine Mingyuan Zhou
[736] Stochastic Expectation Maximization with Variance Reduction
Authors: Jianfei Chen Jun Zhu Yee Whye Teh Tong Zhang
[737] Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
Authors: Wenruo Bai William Stafford Noble Jeff A. Bilmes
[738] The challenge of realistic music generation: modelling raw audio at scale
Authors: Sander Dieleman Aaron van den Oord Karen Simonyan
[739] Spectral Signatures in Backdoor Attacks
Authors: Brandon Tran Jerry Li Aleksander Madry
[740] Reward learning from human preferences and demonstrations in Atari
Authors: Borja Ibarz Jan Leike Tobias Pohlen Geoffrey Irving Shane Legg Dario Amodei
[741] Approximate Knowledge Compilation by Online Collapsed Importance Sampling
Authors:
[742] Neural Arithmetic Logic Units
Authors: Andrew Trask Felix Hill Scott E. Reed Jack Rae Chris Dyer Phil Blunsom
[743] Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
Authors: Youjie Li Mingchao Yu Songze Li Salman Avestimehr Nam Sung Kim Alexander Schwing
[744] Improved Expressivity Through Dendritic Neural Networks
Authors: Xundong Wu Xiangwen Liu wei li qing wu
[745] Efficient Anomaly Detection via Matrix Sketching
Authors: Vatsal Sharan Parikshit Gopalan Udi Wieder
[746] Learning to Specialize with Knowledge Distillation for Visual Question Answering
Authors: Jonghwan Mun Kimin Lee Jinwoo Shin Bohyung Han
[747] A Lyapunov-based Approach to Safe Reinforcement Learning
Authors: Yinlam Chow Ofir Nachum Edgar Duenez-Guzman Mohammad Ghavamzadeh
[748] Credit Assignment For Collective Multiagent RL With Global Rewards
Authors: Duc Thien Nguyen Akshat Kumar Hoong Chuin Lau
[749] Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes
Authors: Loucas Pillaud-Vivien Alessandro Rudi Francis Bach
[750] Does mitigating ML’s impact disparity require treatment disparity?
Authors: Zachary Lipton Julian McAuley Alexandra Chouldechova
[751] Proximal Graphical Event Models
Authors: Debarun Bhattacharjya Dharmashankar Subramanian Tian Gao
[752] Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
Authors: Mahdi Imani Seyede Fatemeh Ghoreishi Ulisses M. Braga-Neto
[753] Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Authors: Yuanzhi Li Yingyu Liang
[754] Hamiltonian Variational Auto-Encoder
Authors: Anthony L. Caterini Arnaud Doucet Dino Sejdinovic
[755] Modelling and unsupervised learning of symmetric deformable object categories
Authors: James Thewlis Hakan Bilen Andrea Vedaldi
[756] Graphical model inference: Sequential Monte Carlo meets deterministic approximations
Authors: Fredrik Lindsten Jouni Helske Matti Vihola
[757] Statistical mechanics of low-rank tensor decomposition
Authors: Jonathan Kadmon Surya Ganguli
[758] Variational Bayesian Monte Carlo
Authors: Luigi Acerbi
[759] Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Authors:
[760] Efficient Online Portfolio with Logarithmic Regret
Authors: Haipeng Luo Chen-Yu Wei Kai Zheng
[761] Algorithms and Theory for Multiple-Source Adaptation
Authors: Judy Hoffman Mehryar Mohri Ningshan Zhang
[762] Online Reciprocal Recommendation with Theoretical Performance Guarantees
Authors: Claudio Gentile Nikos Parotsidis Fabio Vitale
[763] The promises and pitfalls of Stochastic Gradient Langevin Dynamics
Authors: Nicolas Brosse Alain Durmus Eric Moulines
[764] How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective
Authors: Lei Wu Chao Ma Weinan E
[765] Differentiable MPC for End-to-end Planning and Control
Authors: Brandon Amos Ivan Jimenez Jacob Sacks Byron Boots J. Zico Kolter
[766] Bilevel learning of the Group Lasso structure
Authors: Jordan Frecon Saverio Salzo Massimiliano Pontil
[767] Constructing Unrestricted Adversarial Examples with Generative Models
Authors: Yang Song Rui Shu Nate Kushman Stefano Ermon
[768] Information-theoretic Limits for Community Detection in Network Models
Authors: Chuyang Ke Jean Honorio
[769] Learning Conditioned Graph Structures for Interpretable Visual Question Answering
Authors: Will Norcliffe-Brown Stathis Vafeias Sarah Parisot
[770] Distributionally Robust Graphical Models
Authors: Rizal Fathony Ashkan Rezaei Mohammad Ali Bashiri Xinhua Zhang Brian Ziebart
[771] Transfer Learning with Neural AutoML
Authors: Catherine Wong Neil Houlsby Yifeng Lu Andrea Gesmundo
[772] Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
Authors: Conghui Tan Tong Zhang Shiqian Ma Ji Liu
[773] On preserving non-discrimination when combining expert advice
Authors: Avrim Blum Suriya Gunasekar Thodoris Lykouris Nati Srebro
[774] Learning to Play With Intrinsically-Motivated, Self-Aware Agents
Authors: Nick Haber Damian Mrowca Stephanie Wang Li F. Fei-Fei Daniel L. Yamins
[775] Scaling provable adversarial defenses
Authors: Eric Wong Frank Schmidt Jan Hendrik Metzen J. Zico Kolter
[776] Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
Authors: Andrei Zanfir Elisabeta Marinoiu Mihai Zanfir Alin-Ionut Popa Cristian Sminchisescu
[777] Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Authors: Han Shao Xiaotian Yu Irwin King Michael R. Lyu
[778] Data-dependent PAC-Bayes priors via differential privacy
Authors: Gintare Karolina Dziugaite Daniel M. Roy
[779] Deep Poisson gamma dynamical systems
Authors: Dandan Guo Bo Chen Hao Zhang Mingyuan Zhou
[780] Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
Authors: Kry Lui Gavin Weiguang Ding Ruitong Huang Robert McCann
[781] Teaching Inverse Reinforcement Learners via Features and Demonstrations
Authors: Luis Haug Sebastian Tschiatschek Adish Singla
[782] Wasserstein Distributionally Robust Kalman Filtering
Authors: Soroosh Shafieezadeh Abadeh Viet Anh Nguyen Daniel Kuhn Peyman Mohajerin Mohajerin Esfahani
[783] Generalisation of structural knowledge in the hippocampal-entorhinal system
Authors:
[784] Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
Authors: Blake E. Woodworth Jialei Wang Adam Smith Brendan McMahan Nati Srebro
[785] Adversarial Regularizers in Inverse Problems
Authors: Sebastian Lunz Carola Schoenlieb Ozan Öktem
[786] Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms
Authors: Vincent Cohen-Addad Varun Kanade Frederik Mallmann-Trenn
[787] Co-teaching: Robust training of deep neural networks with extremely noisy labels
Authors: Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama
[788] Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Authors: Justin Fu Avi Singh Dibya Ghosh Larry Yang Sergey Levine
[789] A convex program for bilinear inversion of sparse vectors
Authors: Alireza Aghasi Ali Ahmed Paul Hand Babhru Joshi
[790] Adversarial Multiple Source Domain Adaptation
Authors: Han Zhao Shanghang Zhang Guanhang Wu José M. F. Moura Joao P. Costeira Geoffrey J. Gordon
[791] Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Authors: Arthur Jacot-Guillarmod Clement Hongler Franck Gabriel
[792] Contextual Stochastic Block Models
Authors: Yash Deshpande Subhabrata Sen Andrea Montanari Elchanan Mossel
[793] A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
Authors: Jeffrey Chan Valerio Perrone Jeffrey Spence Paul Jenkins Sara Mathieson Yun Song
[794] Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Authors: Adam Kosiorek Hyunjik Kim Yee Whye Teh Ingmar Posner
[795] Randomized Prior Functions for Deep Reinforcement Learning
Authors: Ian Osband John Aslanides Albin Cassirer
[796] Compact Representation of Uncertainty in Clustering
Authors: Craig Greenberg Nicholas Monath Ari Kobren Patrick Flaherty Andrew McGregor Andrew McCallum
[797] Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity
Authors: Fariborz Salehi Ehsan Abbasi Babak Hassibi
[798] Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages
Authors: Michelle Yuan Benjamin Van Durme Jordan L. Ying
[799] Estimators for Multivariate Information Measures in General Probability Spaces
Authors: Arman Rahimzamani Himanshu Asnani Pramod Viswanath Sreeram Kannan
[800] DeepPINK: reproducible feature selection in deep neural networks
Authors: Yang Lu Yingying Fan Jinchi Lv William Stafford Noble
[801] HOUDINI: Lifelong Learning as Program Synthesis
Authors: Lazar Valkov Dipak Chaudhari Akash Srivastava Charles Sutton Swarat Chaudhuri
[802] Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Authors: Liang-Chieh Chen Maxwell Collins Yukun Zhu George Papandreou Barret Zoph Florian Schroff Hartwig Adam Jon Shlens
[803] Orthogonally Decoupled Variational Gaussian Processes
Authors: Hugh Salimbeni Ching-An Cheng Byron Boots Marc Deisenroth
[804] Dendritic cortical microcircuits approximate the backpropagation algorithm
Authors:
[805] Learning Plannable Representations with Causal InfoGAN
Authors: Thanard Kurutach Aviv Tamar Ge Yang Stuart J. Russell Pieter Abbeel
[806] Uniform Convergence of Gradients for Non-Convex Learning and Optimization
Authors: Dylan J. Foster Ayush Sekhari Karthik Sridharan
[807] Automatic differentiation in ML: Where we are and where we should be going
Authors: Bart van Merrienboer Olivier Breuleux Arnaud Bergeron Pascal Lamblin
[808] A Bayesian Nonparametric View on Count-Min Sketch
Authors: Diana Cai Michael Mitzenmacher Ryan P. Adams
[809] Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Authors: Zhilu Zhang Mert Sabuncu
[810] Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Authors: Timur Garipov Pavel Izmailov Dmitrii Podoprikhin Dmitry P. Vetrov Andrew G. Wilson
[811] Flexible neural representation for physics prediction
Authors: Damian Mrowca Chengxu Zhuang Elias Wang Nick Haber Li F. Fei-Fei Josh Tenenbaum Daniel L. Yamins
[812] Legendre Decomposition for Tensors
Authors: Mahito Sugiyama Hiroyuki Nakahara Koji Tsuda
[813] Reinforcement Learning of Theorem Proving
Authors: Cezary Kaliszyk Josef Urban Henryk Michalewski Miroslav Olšák
[814] Data Amplification: A Unified and Competitive Approach to Property Estimation
Authors: Yi HAO Alon Orlitsky Ananda Theertha Suresh Yihong Wu
[815] Group Equivariant Capsule Networks
Authors: Jan Eric Lenssen Matthias Fey Pascal Libuschewski
[816] Stein Variational Gradient Descent as Moment Matching
Authors: Qiang Liu Dilin Wang
[817] Differential Privacy for Growing Databases
Authors: Rachel Cummings Sara Krehbiel Kevin A. Lai Uthaipon Tantipongpipat
[818] Exploration in Structured Reinforcement Learning
Authors:
[819] A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
Authors: Rudrasis Chakraborty Chun-Hao Yang Xingjian Zhen Monami Banerjee Derek Archer David Vaillancourt Vikas Singh Baba Vemuri
[820] Balanced Policy Evaluation and Learning
Authors: Nathan Kallus
[821] Distributed Multitask Reinforcement Learning with Quadratic Convergence
Authors: Rasul Tutunov Dongho Kim Haitham Bou Ammar
[822] Improving Neural Program Synthesis with Inferred Execution Traces
Authors: Richard Shin Illia Polosukhin Dawn Song
[823] Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems
Authors: Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi
[824] Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
Authors: Andrea Tirinzoni Marek Petrik Xiangli Chen Brian Ziebart
[825] GLoMo: Unsupervised Learning of Transferable Relational Graphs
Authors: Zhilin Yang Jake Zhao Bhuwan Dhingra Kaiming He William W. Cohen Ruslan R. Salakhutdinov Yann LeCun
[826] Online Learning of Quantum States
Authors: Scott Aaronson Xinyi Chen Elad Hazan Satyen Kale Ashwin Nayak
[827] Wavelet regression and additive models for irregularly spaced data
Authors: Asad Haris Ali Shojaie Noah Simon
[828] Inferring Latent Velocities from Weather Radar Data using Gaussian Processes
Authors: Rico Angell Daniel R. Sheldon
[829] A Structured Prediction Approach for Label Ranking
Authors: Anna Korba Alexandre Garcia Florence d’Alché-Buc
[830] Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
Authors: Mojmir Mutny Andreas Krause
[831] FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Authors: Aditya Kusupati Manish Singh Kush Bhatia Ashish Kumar Prateek Jain Manik Varma
[832] Reversible Recurrent Neural Networks
Authors: Matthew MacKay Paul Vicol Jimmy Ba Roger B. Grosse
[833] SING: Symbol-to-Instrument Neural Generator
Authors: Alexandre Defossez Neil Zeghidour Nicolas Usunier Leon Bottou Francis Bach
[834] Learning Compressed Transforms with Low Displacement Rank
Authors: Anna Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré
[835] Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds
Authors: Xiaohan Chen Jialin Liu Zhangyang Wang Wotao Yin
[836] Iterative Value-Aware Model Learning
Authors: Amir-massoud Farahmand
[837] Invariant Representations without Adversarial Training
Authors: Daniel Moyer Shuyang Gao Rob Brekelmans Aram Galstyan Greg Ver Steeg
[838] Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Authors: Abhinav Gupta Adithyavairavan Murali Dhiraj Prakashchand Gandhi Lerrel Pinto
[839] Learning Safe Policies with Expert Guidance
Authors: Jessie Huang Fa Wu Doina Precup Yang Cai
[840] Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
Authors: Ehsan Hajiramezanali Siamak Zamani Dadaneh Alireza Karbalayghareh Mingyuan Zhou Xiaoning Qian
[841] Learning SMaLL Predictors
Authors: Vikas Garg Ofer Dekel Lin Xiao
[842] Phase Retrieval Under a Generative Prior
Authors:
[843] Quadrature-based features for kernel approximation
Authors: Marina Munkhoeva Yermek Kapushev Evgeny Burnaev Ivan Oseledets
[844] Reducing Network Agnostophobia
Authors: Akshay Raj Dhamija Manuel Günther Terrance Boult
[845] A Stein variational Newton method
Authors: Gianluca Detommaso Tiangang Cui Youssef Marzouk Alessio Spantini Robert Scheichl
[846] Watch Your Step: Learning Node Embeddings via Graph Attention
Authors: Sami Abu-El-Haija Bryan Perozzi Rami Al-Rfou Alexander A. Alemi
[847] Visual Reinforcement Learning with Imagined Goals
Authors: Ashvin V. Nair Vitchyr Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine
[848] Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition
Authors: Kuan Han Haiguang Wen Yizhen Zhang Di Fu Eugenio Culurciello Zhongming Liu
[849] PAC-Bayes bounds for stable algorithms with instance-dependent priors
Authors: Omar Rivasplata Csaba Szepesvari John S. Shawe-Taylor Emilio Parrado-Hernandez Shiliang Sun
[850] Beyond Grids: Learning Graph Representations for Visual Recognition
Authors: Yin Li Abhinav Gupta
[851] The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
Authors: Constantinos Daskalakis Ioannis Panageas
[852] Coordinate Descent with Bandit Sampling
Authors: Farnood Salehi Patrick Thiran Elisa Celis
[853] Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Authors: Jeremy Morton Antony Jameson Mykel J. Kochenderfer Freddie Witherden
[854] Confounding-Robust Policy Improvement
Authors: Nathan Kallus Angela Zhou
[855] The Importance of Sampling inMeta-Reinforcement Learning
Authors: Bradly Stadie Ge Yang Rein Houthooft Peter Chen Yan Duan Yuhuai Wu Pieter Abbeel Ilya Sutskever
[856] Representer Point Selection for Explaining Deep Neural Networks
Authors: Chih-Kuan Yeh Joon Kim Ian En-Hsu Yen Pradeep K. Ravikumar
[857] The Effect of Network Width on the Performance of Large-batch Training
Authors: Lingjiao Chen Hongyi Wang Jinman Zhao Dimitris Papailiopoulos Paraschos Koutris
[858] SNIPER: Efficient Multi-Scale Training
Authors: Bharat Singh Mahyar Najibi Larry S. Davis
[859] The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models
Authors: Chen Dan Liu Leqi Bryon Aragam Pradeep K. Ravikumar Eric P. Xing
[860] Hardware Conditioned Policies for Multi-Robot Transfer Learning
Authors: Tao Chen Adithyavairavan Murali Abhinav Gupta
[861] Co-regularized Alignment for Unsupervised Domain Adaptation
Authors: Abhishek Kumar Prasanna Sattigeri Kahini Wadhawan Leonid Karlinsky Rogerio Feris Bill Freeman Gregory Wornell
[862] Statistical and Computational Trade-Offs in Kernel K-Means
Authors: Daniele Calandriello Lorenzo Rosasco
[863] Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Authors: Sergey Bartunov Adam Santoro Blake Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap
[864] Learning Attractor Dynamics for Generative Memory
Authors: Yan Wu Gregory Wayne Karol Gregor Timothy Lillicrap
[865] The emergence of multiple retinal cell types through efficient coding of natural movies
Authors: Samuel Ocko Jack Lindsey Surya Ganguli Stephane Deny
[866] Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Authors: Jie Hu Li Shen Samuel Albanie Gang Sun Andrea Vedaldi
[867] The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation
Authors: Zi Yin Vin Sachidananda Balaji Prabhakar
[868] Identification and Estimation of Causal Effects from Dependent Data
Authors: Eli Sherman Ilya Shpitser
[869] Deepcode: Feedback Codes via Deep Learning
Authors: Hyeji Kim Yihan Jiang Sreeram Kannan Sewoong Oh Pramod Viswanath
[870] Learning and Testing Causal Models with Interventions
Authors: Jayadev Acharya Arnab Bhattacharyya Constantinos Daskalakis Saravanan Kandasamy
[871] Implicit Bias of Gradient Descent on Linear Convolutional Networks
Authors: Suriya Gunasekar Jason D. Lee Daniel Soudry Nati Srebro
[872] DAGs with NO TEARS: Continuous Optimization for Structure Learning
Authors: Xun Zheng Bryon Aragam Pradeep K. Ravikumar Eric P. Xing
[873] PAC-Bayes Tree: weighted subtrees with guarantees
Authors: Tin D. Nguyen Samory Kpotufe
[874] Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint
Authors: Rajan Udwani
[875] Sanity Checks for Saliency Maps
Authors: Julius Adebayo Justin Gilmer Michael Muelly Ian Goodfellow Moritz Hardt Been Kim
[876] Probabilistic Model-Agnostic Meta-Learning
Authors: Chelsea Finn Kelvin Xu Sergey Levine
[877] Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
Authors: Michael Gimelfarb Scott Sanner Chi-Guhn Lee
[878] e-SNLI: Natural Language Inference with Natural Language Explanations
Authors: Oana-Maria Camburu Tim Rocktäschel Thomas Lukasiewicz Phil Blunsom
[879] Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
Authors: Thomas George César Laurent Xavier Bouthillier Nicolas Ballas Pascal Vincent
[880] Learning convex bounds for linear quadratic control policy synthesis
Authors: Jack Umenberger Thomas B. Schön
[881] Neural Proximal Gradient Descent for Compressive Imaging
Authors: Morteza Mardani Qingyun Sun David Donoho Vardan Papyan Hatef Monajemi Shreyas Vasanawala John Pauly
[882] Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
Authors: Liwei Wang Lunjia Hu Jiayuan Gu Zhiqiang Hu Yue Wu Kun He John Hopcroft
[883] Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
Authors:
[884] An intriguing failing of convolutional neural networks and the CoordConv solution
Authors: Rosanne Liu Joel Lehman Piero Molino Felipe Petroski Such Eric Frank Alex Sergeev Jason Yosinski
[885] Trading robust representations for sample complexity through self-supervised visual experience
Authors: Andrea Tacchetti Stephen Voinea Georgios Evangelopoulos
[886] Invertibility of Convolutional Generative Networks from Partial Measurements
Authors: Fangchang Ma Ulas Ayaz Sertac Karaman
[887] Ex ante coordination and collusion in zero-sum multi-player extensive-form games
Authors: Gabriele Farina Andrea Celli Nicola Gatti Tuomas Sandholm
[888] Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Authors: Hoi-To Wai Zhuoran Yang Princeton Zhaoran Wang Mingyi Hong
[889] Improving Online Algorithms via ML Predictions
Authors: Manish Purohit Zoya Svitkina Ravi Kumar
[890] Global Non-convex Optimization with Discretized Diffusions
Authors: Murat A. Erdogdu Lester Mackey Ohad Shamir
[891] Theoretical guarantees for EM under misspecified Gaussian mixture models
Authors: Raaz Dwivedi nhật Hồ Koulik Khamaru Martin J. Wainwright Michael I. Jordan
[892] Coupled Variational Bayes via Optimization Embedding
Authors: Bo Dai Hanjun Dai Niao He Weiyang Liu Zhen Liu Jianshu Chen Lin Xiao Le Song
[893] Improving Explorability in Variational Inference with Annealed Variational Objectives
Authors: Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron C. Courville
[894] Latent Alignment and Variational Attention
Authors: Yuntian Deng Yoon Kim Justin Chiu Demi Guo Alexander Rush
[895] Towards Deep Conversational Recommendations
Authors: Raymond Li Samira Ebrahimi Kahou Hannes Schulz Vincent Michalski Laurent Charlin Chris Pal
[896] Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Authors: Joel Ruben Antony Moniz Christopher Beckham Simon Rajotte Sina Honari Chris Pal
[897] Generalization Bounds for Uniformly Stable Algorithms
Authors: Vitaly Feldman Jan Vondrak
[898] Deep Anomaly Detection Using Geometric Transformations
Authors: Izhak Golan Ran El-Yaniv
[899] Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
Authors: Theo Lacombe Marco Cuturi Steve OUDOT
[900] Entropy Rate Estimation for Markov Chains with Large State Space
Authors: Yanjun Han Jiantao Jiao Chuan-Zheng Lee Tsachy Weissman Yihong Wu Tiancheng Yu
[901] Adaptive Methods for Nonconvex Optimization
Authors: Manzil Zaheer Sashank Reddi Devendra Sachan Satyen Kale Sanjiv Kumar
[902] Object-Oriented Dynamics Predictor
Authors: Guangxiang Zhu Zhiao Huang Chongjie Zhang
[903] Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
Authors: Alexander Neitz Giambattista Parascandolo Stefan Bauer Bernhard Schölkopf
[904] Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Authors: Matthew O’Kelly Aman Sinha Hongseok Namkoong Russ Tedrake John C. Duchi
[905] Reinforcement Learning for Solving the Vehicle Routing Problem
Authors: MohammadReza Nazari Afshin Oroojlooy Lawrence Snyder Martin Takac
[906] ATOMO: Communication-efficient Learning via Atomic Sparsification
Authors: Hongyi Wang Scott Sievert Shengchao Liu Zachary Charles Dimitris Papailiopoulos Stephen Wright
[907] Dynamic Network Model from Partial Observations
Authors: Elahe Ghalebi Baharan Mirzasoleiman Radu Grosu Jure Leskovec
[908] Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Authors: Alessandro Achille Tom Eccles Loic Matthey Chris Burgess Nicholas Watters Alexander Lerchner Irina Higgins
[909] Maximizing acquisition functions for Bayesian optimization
Authors: James Wilson Frank Hutter Marc Deisenroth
[910] On Markov Chain Gradient Descent
Authors: Tao Sun Yuejiao Sun Wotao Yin
[911] Variance-Reduced Stochastic Gradient Descent on Streaming Data
Authors: Ellango Jothimurugesan Ashraf Tahmasbi Phillip Gibbons Srikanta Tirthapura
[912] Online Robust Policy Learning in the Presence of Unknown Adversaries
Authors: Aaron Havens Zhanhong Jiang Soumik Sarkar
[913] Uplift Modeling from Separate Labels
Authors: Ikko Yamane Florian Yger Jamal Atif Masashi Sugiyama
[914] Learning Invariances using the Marginal Likelihood
Authors: Mark van der Wilk Matthias Bauer ST John James Hensman
[915] Non-delusional Q-learning and value-iteration
Authors: Tyler Lu Dale Schuurmans Craig Boutilier
[916] Using Large Ensembles of Control Variates for Variational Inference
Authors: Tomas Geffner Justin Domke
[917] Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization
Authors: Yuanxiang Gao Li Chen Baochun Li
[918] Learning to Reason with Third Order Tensor Products
Authors: Imanol Schlag Jürgen Schmidhuber
[919] Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Authors: Chen Liang Mohammad Norouzi Jonathan Berant Quoc V. Le Ni Lao
[920] Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams
Authors: Tam Le Makoto Yamada
[921] Neural Voice Cloning with a Few Samples
Authors: Sercan Arik Jitong Chen Kainan Peng Wei Ping Yanqi Zhou
[922] Blind Deconvolutional Phase Retrieval via Convex Programming
Authors: Ali Ahmed Alireza Aghasi Paul Hand
[923] Scalable Laplacian K-modes
Authors: Imtiaz Ziko Eric Granger Ismail Ben Ayed
[924] A Retrieve-and-Edit Framework for Predicting Structured Outputs
Authors:
[925] Testing for Families of Distributions via the Fourier Transform
Authors: Alistair Stewart Ilias Diakonikolas Clement Canonne
[926] Thwarting Adversarial Examples: An L_0-Robust Sparse Fourier Transform
Authors: Mitali Bafna Jack Murtagh Nikhil Vyas
[927] Blockwise Parallel Decoding for Deep Autoregressive Models
Authors: Mitchell Stern Noam Shazeer Jakob Uszkoreit
[928] Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch
Authors: Osman Asif Malik Stephen Becker
[929] A Simple Cache Model for Image Recognition
Authors: Emin Orhan
[930] Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Authors: Risi Kondor Zhen Lin Shubhendu Trivedi
[931] Bayesian Nonparametric Spectral Estimation
Authors: Felipe Tobar
[932] A Spectral View of Adversarially Robust Features
Authors: Shivam Garg Vatsal Sharan Brian Zhang Gregory Valiant
[933] Synaptic Strength For Convolutional Neural Network
Authors: CHEN LIN Zhao Zhong Wu Wei Junjie Yan
[934] Human-in-the-Loop Interpretability Prior
Authors: Isaac Lage Andrew Ross Samuel J. Gershman Been Kim Finale Doshi-Velez
[935] Learning To Learn Around A Common Mean
Authors: Giulia Denevi Carlo Ciliberto Dimitris Stamos Massimiliano Pontil
[936] Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming
Authors: Fei Wang James Decker Xilun Wu Gregory Essertel Tiark Rompf
[937] Learning with SGD and Random Features
Authors: Luigi Carratino Alessandro Rudi Lorenzo Rosasco
[938] Total stochastic gradient algorithms and applications in reinforcement learning
Authors: Paavo Parmas
[939] Glow: Generative Flow with Invertible 1x1 Convolutions
Authors: Durk P. Kingma Prafulla Dhariwal
[940] Nonparametric Density Estimation under Adversarial Losses
Authors: Shashank Singh Ananya Uppal Boyue Li Chun-Liang Li Manzil Zaheer Barnabas Poczos
[941] Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
Authors: Boris Muzellec Marco Cuturi
[942] Learning to Share and Hide Intentions using Information Regularization
Authors: Daniel Strouse Max Kleiman-Weiner Josh Tenenbaum Matt Botvinick David J. Schwab
[943] Predictive Approximate Bayesian Computation via Saddle Points
Authors: Yingxiang Yang Bo Dai Negar Kiyavash Niao He
[944] Robustness of conditional GANs to noisy labels
Authors: Kiran K. Thekumparampil Ashish Khetan Zinan Lin Sewoong Oh
[945] Robust Learning of Fixed-Structure Bayesian Networks
Authors: Yu Cheng Ilias Diakonikolas Daniel Kane Alistair Stewart
[946] Improving Simple Models with Confidence Profiles
Authors: Amit Dhurandhar Karthikeyan Shanmugam Ronny Luss Peder A. Olsen
[947] PCA of high dimensional random walks with comparison to neural network training
Authors: Joseph Antognini Jascha Sohl-Dickstein
[948] Learning to Solve SMT Formulas
Authors:
[949] Lifted Weighted Mini-Bucket
Authors: Nicholas Gallo Alexander T. Ihler
[950] Learning and Inference in Hilbert Space with Quantum Graphical Models
Authors: Siddarth Srinivasan Carlton Downey Byron Boots
[951] Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
Authors: Hadi Kazemi Sobhan Soleymani Fariborz Taherkhani Seyed Iranmanesh Nasser Nasrabadi
[952] Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Authors: Dimitrios Diochnos Saeed Mahloujifar Mohammad Mahmoody
[953] Gaussian Process Prior Variational Autoencoders
Authors: Francesco Paolo Casale Adrian Dalca Luca Saglietti Jennifer Listgarten Nicolo Fusi
[954] 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Authors: Maurice Weiler Wouter Boomsma Mario Geiger Max Welling Taco Cohen
[955] Context-aware Synthesis and Placement of Object Instances
Authors: Donghoon Lee Ming-Yu Liu Ming-Hsuan Yang Sifei Liu Jinwei Gu Jan Kautz
[956] Convex Elicitation of Continuous Properties
Authors: Jessica Finocchiaro Rafael Frongillo
[957] Mesh-TensorFlow: Deep Learning for Supercomputers
Authors: Noam Shazeer Youlong Cheng Niki Parmar Dustin Tran Ashish Vaswani Penporn Koanantakool Peter Hawkins HyoukJoong Lee Mingsheng Hong Cliff Young Ryan Sepassi Blake Hechtman
[958] Learning Abstract Options
Authors: Matthew Riemer Miao Liu Gerald Tesauro
[959] Bounded-Loss Private Prediction Markets
Authors: Rafael Frongillo Bo Waggoner
[960] Temporal alignment and latent Gaussian process factor inference in population spike trains
Authors: Lea Duncker Maneesh Sahani
[961] Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
Authors: Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel
[962] Discretely Relaxing Continuous Variables for tractable Variational Inference
Authors: Trefor Evans Prasanth Nair
[963] Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Authors: Zi Wang Beomjoon Kim Leslie Pack Kaelbling
[964] Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
Authors: Zhang-Wei Hong Tzu-Yun Shann Shih-Yang Su Yi-Hsiang Chang Tsu-Jui Fu Chun-Yi Lee
[965] Deep Generative Models with Learnable Knowledge Constraints
Authors: Zhiting Hu Zichao Yang Ruslan R. Salakhutdinov LIANHUI Qin Xiaodan Liang Haoye Dong Eric P. Xing
[966] The Sparse Manifold Transform
Authors: Yubei Chen Dylan Paiton Bruno Olshausen
[967] Bayesian Structure Learning by Recursive Bootstrap
Authors: Raanan Y. Rohekar Yaniv Gurwicz Shami Nisimov Guy Koren Gal Novik
[968] Complex Gated Recurrent Neural Networks
Authors: Moritz Wolter Angela Yao
[969] Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders
Authors: Abubakar Abid James Y. Zou
[970] Streamlining Variational Inference for Constraint Satisfaction Problems
Authors: Aditya Grover Tudor Achim Stefano Ermon
[971] Fast deep reinforcement learning using online adjustments from the past
Authors: Steven Hansen Alexander Pritzel Pablo Sprechmann Andre Barreto Charles Blundell
[972] Improved Network Robustness with Adversary Critic
Authors: Alexander Matyasko Lap-Pui Chau
[973] Regret Bounds for Online Portfolio Selection with a Cardinality Constraint
Authors: Shinji Ito Daisuke Hatano Sumita Hanna Akihiro Yabe Takuro Fukunaga Naonori Kakimura Ken-Ichi Kawarabayashi
[974] Sketching Method for Large Scale Combinatorial Inference
Authors: Wei Sun Junwei Lu Han Liu
[975] Connecting Optimization and Regularization Paths
Authors: Arun Suggala Adarsh Prasad Pradeep K. Ravikumar
[976] Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices
Authors: Jinhwan Park Yoonho Boo Iksoo Choi Sungho Shin Wonyong Sung
[977] Understanding Regularized Spectral Clustering via Graph Conductance
Authors: Yilin Zhang Karl Rohe
[978] Data-Driven Clustering via Parameterized Lloyd’s Families
Authors: Maria-Florina F. Balcan Travis Dick Colin White
[979] Learning Beam Search Policies via Imitation Learning
Authors: Renato Negrinho Matthew Gormley Geoffrey J. Gordon
[980] Benefits of over-parameterization with EM
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[981] Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
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[982] Robust Subspace Approximation in a Stream
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[983] Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
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[984] Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems
Authors:
[985] Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
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[986] DropBlock: A regularization method for convolutional networks
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[987] Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
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[988] With Friends Like These, Who Needs Adversaries?
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[989] Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
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[990] Joint Autoregressive and Hierarchical Priors for Learned Image Compression
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[991] Learning Temporal Point Processes via Reinforcement Learning
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[992] Bias and Generalization in Deep Generative Models: An Empirical Study
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[993] Fast and Effective Robustness Certification
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[994] Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
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[995] Differentially Private Change-Point Detection
Authors: Rachel Cummings Sara Krehbiel Yajun Mei Rui Tuo Wanrong Zhang
[996] Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations
Authors: Tong Wang
[997] Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
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[998] Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons
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[999] MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
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[1000] Semidefinite relaxations for certifying robustness to adversarial examples
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[1001] Removing Hidden Confounding by Experimental Grounding
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[1002] Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements
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[1003] Contrastive Learning from Pairwise Measurements
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[1004] Point process latent variable models of larval zebrafish behavior
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[1005] Computationally and statistically efficient learning of causal Bayes nets using path queries
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[1006] Sparse PCA from Sparse Linear Regression
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[1007] Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices
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[1008] Transfer of Deep Reactive Policies for MDP Planning
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[1009] The Price of Fair PCA: One Extra dimension
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[1010] GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
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由于博客长度限制，分为两篇列出---->第一篇
