nips2019.md

NeurIPS2019

• Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine. "Compositional Plan Vectors" | [Home Page] | [PDF]

• LU LIU, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang. "Learning to Propagate for Graph Meta-Learning" | [Home Page] | [PDF]

• Niv Nayman, Asaf Noy, Tal Ridnik, Itamar Friedman, Rong Jin, Lihi Zelnik. "XNAS: Neural Architecture Search with Expert Advice" | [Home Page] | [PDF]

• Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang, Mark Girolami. "Multi-resolution Multi-task Gaussian Processes" | [Home Page] | [PDF]

• Shaojie Bai, J. Zico Kolter, Vladlen Koltun. "Deep Equilibrium Models" | [Home Page] | [PDF]

• Ruibing Hou, Hong Chang, Bingpeng MA, Shiguang Shan, Xilin Chen. "Cross Attention Network for Few-shot Classification" | [Home Page] | [PDF]

• Arsalan Sharifnassab, Saber Salehkaleybar, S. Jamaloddin Golestani. "Order Optimal One-Shot Distributed Learning" | [Home Page] | [PDF]

• Ke Wang, Geoff Pleiss, Jacob Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson. "Exact Gaussian Processes on a Million Data Points" | [Home Page] | [PDF]

• Haowei He, Gao Huang, Yang Yuan. "Asymmetric Valleys: Beyond Sharp and Flat Local Minima" | [Home Page] | [PDF]

• Viet Anh Nguyen, Soroosh Shafieezadeh Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann. "Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization" | [Home Page] | [PDF]

• Pooria Joulani, András György, Csaba Szepesvari. "Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging" | [Home Page] | [PDF]

• Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila. "Improved Precision and Recall Metric for Assessing Generative Models" | [Home Page] | [PDF]

• Arun Jambulapati, Aaron Sidford, Kevin Tian. "A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport" | [Home Page] | [PDF]

• Maxime Bucher, Tuan-Hung VU, Matthieu Cord, Patrick Pérez. "Zero-Shot Semantic Segmentation" | [Home Page] | [PDF]

• Pascal Mettes, Elise van der Pol, Cees Snoek. "Hyperspherical Prototype Networks" | [Home Page] | [PDF]

• Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal. "Lower Bounds on Adversarial Robustness from Optimal Transport" | [Home Page] | [PDF]

• Qing Qu, Xiao Li, Zhihui Zhu. "A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution" | [Home Page] | [PDF]

• Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charles Deck, Joel Z. Leibo, Charles Blundell. "Generalization of Reinforcement Learners with Working and Episodic Memory" | [Home Page] | [PDF]

• Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran. "DTWNet: a Dynamic Time Warping Network" | [Home Page] | [PDF]

• Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang. "Learning Mean-Field Games" | [Home Page] | [PDF]

• Zihan Li, Matthias Fresacher, Jonathan Scarlett. "Learning Erdos-Renyi Random Graphs via Edge Detecting Queries" | [Home Page] | [PDF]

• Brandon Anderson, Truong Son Hy, Risi Kondor. "Cormorant: Covariant Molecular Neural Networks" | [Home Page] | [PDF]

• Fabio Vitale, Anand Rajagopalan, Claudio Gentile. "Flattening a Hierarchical Clustering through Active Learning" | [Home Page] | [PDF]

• Stefan Meintrup, Alexander Munteanu, Dennis Rohde. "Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves" | [Home Page] | [PDF]

• Mikael Henaff. "Explicit Explore-Exploit Algorithms in Continuous State Spaces" | [Home Page] | [PDF]

• Dennis Maximilian Elbrächter, Julius Berner, Philipp Grohs. "How degenerate is the parametrization of neural networks with the ReLU activation function?" | [Home Page] | [PDF]

• Ines Chami, Zhitao Ying, Christopher Ré, Jure Leskovec. "Hyperbolic Graph Convolutional Neural Networks" | [Home Page] | [PDF]

• Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han. "Spherical Text Embedding" | [Home Page] | [PDF]

• Shufei Ge, Shijia Wang, Yee Whye Teh, Liangliang Wang, Lloyd Elliott. "Random Tessellation Forests" | [Home Page] | [PDF]

• Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul Whatmough. "SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers" | [Home Page] | [PDF]

• Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala. "Capacity Bounded Differential Privacy" | [Home Page] | [PDF]

• Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy. "Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates" | [Home Page] | [PDF]

• Kiran K. Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh. "Efficient Algorithms for Smooth Minimax Optimization" | [Home Page] | [PDF]

• Vaishnavh Nagarajan, J. Zico Kolter. "Uniform convergence may be unable to explain generalization in deep learning" | [Home Page] | [PDF]

• Pierre Bellec, Arun Kuchibhotla. "First order expansion of convex regularized estimators" | [Home Page] | [PDF]

• Jack Umenberger, Mina Ferizbegovic, Thomas B. Schön, Håkan Hjalmarsson. "Robust exploration in linear quadratic reinforcement learning" | [Home Page] | [PDF]

• Raanan Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik. "Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections" | [Home Page] | [PDF]

• Aaron Klein, Zhenwen Dai, Frank Hutter, Neil Lawrence, Javier Gonzalez. "Meta-Surrogate Benchmarking for Hyperparameter Optimization" | [Home Page] | [PDF]

• Surbhi Goel, Sushrut Karmalkar, Adam Klivans. "Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals" | [Home Page] | [PDF]

• Sayak Ray Chowdhury, Aditya Gopalan. "Bayesian Optimization under Heavy-tailed Payoffs" | [Home Page] | [PDF]

• Meera Pai, Animesh Kumar. "Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor" | [Home Page] | [PDF]

• Yaqi Duan, Tracy Ke, Mengdi Wang. "State Aggregation Learning from Markov Transition Data" | [Home Page] | [PDF]

• Nicki Skafte, Martin Jørgensen, Søren Hauberg. "Reliable training and estimation of variance networks" | [Home Page] | [PDF]

• Aravind Rajeswaran, Chelsea Finn, Sham M. Kakade, Sergey Levine. "Meta-Learning with Implicit Gradients" | [Home Page] | [PDF]

• Mikko Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela. "Differentially Private Markov Chain Monte Carlo" | [Home Page] | [PDF]

• Trevor Campbell, Xinglong Li. "Universal Boosting Variational Inference" | [Home Page] | [PDF]

• Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao. "LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning" | [Home Page] | [PDF]

• Wenhao Zhang, Si Wu, Brent Doiron, Tai Sing Lee. "A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits" | [Home Page] | [PDF]

• Randall Balestriero, Romain Cosentino, Behnaam Aazhang, Richard Baraniuk. "The Geometry of Deep Networks: Power Diagram Subdivision" | [Home Page] | [PDF]

• No Author. "Visual Sequence Learning in Hierarchical Prediction Networks and Primate Visual Cortex" | [Home Page] | [PDF]

• Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Steven Z. Wu. "Equal Opportunity in Online Classification with Partial Feedback" | [Home Page] | [PDF]

• Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis. "Semi-Parametric Efficient Policy Learning with Continuous Actions" | [Home Page] | [PDF]

• Sanjay P. Bhat, Prashanth L.A.. "Concentration of risk measures: A Wasserstein distance approach" | [Home Page] | [PDF]

• DongDong Ge, Haoyue Wang, Zikai Xiong, Yinyu Ye. "Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem" | [Home Page] | [PDF]

• Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao. "Coda: An End-to-End Neural Program Decompiler" | [Home Page] | [PDF]

• Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, zhifeng Chen. "GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism" | [Home Page] | [PDF]

• Suhas Jayaram Subramanya, Fnu Devvrit, Harsha Vardhan Simhadri, Ravishankar Krishnawamy, Rohan Kadekodi. "DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node" | [Home Page] | [PDF]

• Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis. "Linear Stochastic Bandits Under Safety Constraints" | [Home Page] | [PDF]

• Jingbo Liu, Philippe Rigollet. "Power analysis of knockoff filters for correlated designs" | [Home Page] | [PDF]

• Vaishak Belle, Brendan Juba. "Implicitly learning to reason in first-order logic" | [Home Page] | [PDF]

• Jonas W. Mueller, Vasilis Syrgkanis, Matt Taddy. "Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing" | [Home Page] | [PDF]

• J. Zico Kolter, Gaurav Manek. "Learning Stable Deep Dynamics Models" | [Home Page] | [PDF]

• Gagandeep Singh, Rupanshu Ganvir, Markus Püschel, Martin Vechev. "Beyond the Single Neuron Convex Barrier for Neural Network Certification" | [Home Page] | [PDF]

• Yuge Shi, Siddharth N, Brooks Paige, Philip Torr. "Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models" | [Home Page] | [PDF]

• YiDing Jiang, Shixiang (Shane) Gu, Kevin P. Murphy, Chelsea Finn. "Language as an Abstraction for Hierarchical Deep Reinforcement Learning" | [Home Page] | [PDF]

• David Salinas, Michael Bohlke-Schneider, Laurent Callot, Roberto Medico, Jan Gasthaus. "High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes" | [Home Page] | [PDF]

• Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell, Franco Pestilli, Cesar F. Caiafa, Russell Greiner, Martha White. "Learning Macroscopic Brain Connectomes via Group-Sparse Factorization" | [Home Page] | [PDF]

• Huaian Diao, Rajesh Jayaram, Zhao Song, Wen Sun, David Woodruff. "Optimal Sketching for Kronecker Product Regression and Low Rank Approximation" | [Home Page] | [PDF]

• Ziyin Liu, Zhikang Wang, Paul Pu Liang, Russ R. Salakhutdinov, Louis-Philippe Morency, Masahito Ueda. "Deep Gamblers: Learning to Abstain with Portfolio Theory" | [Home Page] | [PDF]

• Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang. "DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs" | [Home Page] | [PDF]

• Paul Hongsuck Seo, Geeho Kim, Bohyung Han. "Combinatorial Inference against Label Noise" | [Home Page] | [PDF]

• Carlo Ciliberto, Francis Bach, Alessandro Rudi. "Localized Structured Prediction" | [Home Page] | [PDF]

• Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu. "Fast Low-rank Metric Learning for Large-scale and High-dimensional Data" | [Home Page] | [PDF]

• Jaehoon Lee, Lechao Xiao, Samuel Schoenholz, Yasaman Bahri, Roman Novak, Jascha Sohl-Dickstein, Jeffrey Pennington. "Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent" | [Home Page] | [PDF]

• Hanjun Dai, Chengtao Li, Connor Coley, Bo Dai, Le Song. "Retrosynthesis Prediction with Conditional Graph Logic Network" | [Home Page] | [PDF]

• Tianyuan Jin, Jieming SHI, Xiaokui Xiao, Enhong Chen. "Efficient Pure Exploration in Adaptive Round model" | [Home Page] | [PDF]

• Alban Laflaquière, Michael Garcia Ortiz. "Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction" | [Home Page] | [PDF]

• Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli. "Adversarial Robustness through Local Linearization" | [Home Page] | [PDF]

• Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson. "Generalized Off-Policy Actor-Critic" | [Home Page] | [PDF]

• Saeed Sharifi-Malvajerdi, Michael Kearns, Aaron Roth. "Average Individual Fairness: Algorithms, Generalization and Experiments" | [Home Page] | [PDF]

• meyer scetbon, Gael Varoquaux. "Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing" | [Home Page] | [PDF]

• Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin. "Nonstochastic Multiarmed Bandits with Unrestricted Delays" | [Home Page] | [PDF]

• Cornelius Schröder, Ben James, Leon Lagnado, Philipp Berens. "Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse" | [Home Page] | [PDF]

• Colin Wei, Tengyu Ma. "Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation" | [Home Page] | [PDF]

• Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao. "Semi-supervisedly Co-embedding Attributed Networks" | [Home Page] | [PDF]

• Xingyu Lin, Harjatin Baweja, George Kantor, David Held. "Adaptive Auxiliary Task Weighting for Reinforcement Learning" | [Home Page] | [PDF]

• Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh. "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders" | [Home Page] | [PDF]

• Zhihao Xia, Ayan Chakrabarti. "Training Image Estimators without Image Ground Truth" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song. "On the Convergence Rate of Training Recurrent Neural Networks" | [Home Page] | [PDF]

• Marco Loog, Tom Viering, Alexander Mey. "Minimizers of the Empirical Risk and Risk Monotonicity" | [Home Page] | [PDF]

• Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell. "Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery" | [Home Page] | [PDF]

• Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li. "Möbius Transformation for Fast Inner Product Search on Graph" | [Home Page] | [PDF]

• Songbai Yan, Kamalika Chaudhuri, Tara Javidi. "The Label Complexity of Active Learning from Observational Data" | [Home Page] | [PDF]

• Qi Liu, Maximilian Nickel, Douwe Kiela. "Hyperbolic Graph Neural Networks" | [Home Page] | [PDF]

• Jiechuan Jiang, Zongqing Lu. "Learning Fairness in Multi-Agent Systems" | [Home Page] | [PDF]

• Pranjal Awasthi, Abhratanu Dutta, Aravindan Vijayaraghavan. "On Robustness to Adversarial Examples and Polynomial Optimization" | [Home Page] | [PDF]

• Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim. "In-Place Zero-Space Memory Protection for CNN" | [Home Page] | [PDF]

• Max Simchowitz, Kevin G. Jamieson. "Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs" | [Home Page] | [PDF]

• Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado P. van Hasselt, David Silver, Satinder Singh. "Discovery of Useful Questions as Auxiliary Tasks" | [Home Page] | [PDF]

• Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn. "Sequential Neural Processes" | [Home Page] | [PDF]

• Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski. "Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask" | [Home Page] | [PDF]

• James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner. "Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes" | [Home Page] | [PDF]

• Wesley J. Maddox, Pavel Izmailov, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson. "A Simple Baseline for Bayesian Uncertainty in Deep Learning" | [Home Page] | [PDF]

• Changqing Zhang, Zongbo Han, yajie cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu. "CPM-Nets: Cross Partial Multi-View Networks" | [Home Page] | [PDF]

• Alix LHERITIER, Frederic Cazals. "Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees" | [Home Page] | [PDF]

• Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Joan Bruna. "Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias" | [Home Page] | [PDF]

• Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras. "Efficiently avoiding saddle points with zero order methods: No gradients required" | [Home Page] | [PDF]

• Qi Zhao, Yusu Wang. "Learning metrics for persistence-based summaries and applications for graph classification" | [Home Page] | [PDF]

• Yikang LI, Tao Ma, Yeqi Bai, Nan Duan, Sining Wei, Xiaogang Wang. "PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph" | [Home Page] | [PDF]

• Emre Yolcu, Barnabas Poczos. "Learning Local Search Heuristics for Boolean Satisfiability" | [Home Page] | [PDF]

• Xinyun Chen, Yuandong Tian. "Learning to Perform Local Rewriting for Combinatorial Optimization" | [Home Page] | [PDF]

• Felix Leibfried, Sergio Pascual-Díaz, Jordi Grau-Moya. "A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment" | [Home Page] | [PDF]

• Qianli Ma, Jiawei Zheng, Sen Li, Gary W. Cottrell. "Learning Representations for Time Series Clustering" | [Home Page] | [PDF]

• Lingxiao Wang, Zhuoran Yang, Zhaoran Wang. "Statistical-Computational Tradeoff in Single Index Models" | [Home Page] | [PDF]

• Meng Qu, Jian Tang. "Probabilistic Logic Neural Networks for Reasoning" | [Home Page] | [PDF]

• Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang. "Joint-task Self-supervised Learning for Temporal Correspondence" | [Home Page] | [PDF]

• Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi O. Koyejo. "Learning Sparse Distributions using Iterative Hard Thresholding" | [Home Page] | [PDF]

• Aditya Bhaskara, Pruthuvi Maheshakya Wijewardena. "On Distributed Averaging for Stochastic k-PCA" | [Home Page] | [PDF]

• Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi. "Learning dynamic polynomial proofs" | [Home Page] | [PDF]

• Sai Qian Zhang, Qi Zhang, Jieyu Lin. "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control" | [Home Page] | [PDF]

• Lei Wu, Qingcan Wang, Chao Ma. "Global Convergence of Gradient Descent for Deep Linear Residual Networks" | [Home Page] | [PDF]

• Hamid Shayestehmanesh, Sajjad Azami, Nishant A. Mehta. "Dying Experts: Efficient Algorithms with Optimal Regret Bounds" | [Home Page] | [PDF]

• Koosha Khalvati, Saghar Mirbagheri, Seongmin A. Park, Jean-Claude Dreher, Rajesh PN Rao. "A Bayesian Theory of Conformity in Collective Decision Making" | [Home Page] | [PDF]

• Aaron Schein, Scott Linderman, Mingyuan Zhou, David Blei, Hanna Wallach. "Poisson-Randomized Gamma Dynamical Systems" | [Home Page] | [PDF]

• Dustin Tran, Mike Dusenberry, Mark van der Wilk, Danijar Hafner. "Bayesian Layers: A Module for Neural Network Uncertainty" | [Home Page] | [PDF]

• Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov. "Sequence Modeling with Unconstrained Generation Order" | [Home Page] | [PDF]

• Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin, Lucas Page-Caccia. "Online Continual Learning with Maximal Interfered Retrieval" | [Home Page] | [PDF]

• Emily Reif, Ann Yuan, Martin Wattenberg, Fernanda B. Viegas, Andy Coenen, Adam Pearce, Been Kim. "Visualizing and Measuring the Geometry of BERT" | [Home Page] | [PDF]

• Daniel Freeman, David Ha, Luke Metz. "Learning to Predict Without Looking Ahead: World Models Without Forward Prediction" | [Home Page] | [PDF]

• Andrew Bennett, Nathan Kallus, Tobias Schnabel. "Deep Generalized Method of Moments for Instrumental Variable Analysis" | [Home Page] | [PDF]

• Natasa Tagasovska, Damien Ackerer, Thibault Vatter. "Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders" | [Home Page] | [PDF]

• Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu. "Implicit Semantic Data Augmentation for Deep Networks" | [Home Page] | [PDF]

• Iordanis Kerenidis, Jonas Landman, Alessandro Luongo, Anupam Prakash. "q-means: A quantum algorithm for unsupervised machine learning" | [Home Page] | [PDF]

• Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter. "RUDDER: Return Decomposition for Delayed Rewards" | [Home Page] | [PDF]

• Piotr Indyk, Ali Vakilian, Yang Yuan. "Learning-Based Low-Rank Approximations" | [Home Page] | [PDF]

• Motonobu Kanagawa, Philipp Hennig. "Convergence Guarantees for Adaptive Bayesian Quadrature Methods" | [Home Page] | [PDF]

• JIAJIN LI, SEN HUANG, Anthony Man-Cho So. "A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression" | [Home Page] | [PDF]

• Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao. "Theoretical Analysis of Adversarial Learning: A Minimax Approach" | [Home Page] | [PDF]

• Yi Tay, Anh Tuan Luu, Aston Zhang, Shuohang Wang, Siu Cheung Hui. "Compositional De-Attention Networks" | [Home Page] | [PDF]

• Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha. "Robust Attribution Regularization" | [Home Page] | [PDF]

• Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal. "Semantic-Guided Multi-Attention Localization for Zero-Shot Learning" | [Home Page] | [PDF]

• Matthew Staib, Stefanie Jegelka. "Distributionally Robust Optimization and Generalization in Kernel Methods" | [Home Page] | [PDF]

• Rahul Singh, Maneesh Sahani, Arthur Gretton. "Kernel Instrumental Variable Regression" | [Home Page] | [PDF]

• Tsendsuren Munkhdalai, Alessandro Sordoni, TONG WANG, Adam Trischler. "Metalearned Neural Memory" | [Home Page] | [PDF]

• Adarsh Barik, Jean Honorio. "Learning Bayesian Networks with Low Rank Conditional Probability Tables" | [Home Page] | [PDF]

• Jeff Donahue, Karen Simonyan. "Large Scale Adversarial Representation Learning" | [Home Page] | [PDF]

• Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado P. van Hasselt, Gregory Wayne, Satinder Singh, Doina Precup, Remi Munos. "Hindsight Credit Assignment" | [Home Page] | [PDF]

• Hyeonwoo Yu, Beomhee Lee. "Zero-shot Learning via Simultaneous Generating and Learning" | [Home Page] | [PDF]

• Guy Lorberbom, Andreea Gane, Tommi Jaakkola, Tamir Hazan. "Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder" | [Home Page] | [PDF]

• Xiaoyun Li, Ping Li. "Generalization Error Analysis of Quantized Compressive Learning" | [Home Page] | [PDF]

• David Janz, Jiri Hron, Przemysław Mazur, Katja Hofmann, José Miguel Hernández-Lobato, Sebastian Tschiatschek. "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" | [Home Page] | [PDF]

• Mario Lezcano Casado. "Trivializations for Gradient-Based Optimization on Manifolds" | [Home Page] | [PDF]

• Francesco Locatello, Gabriele Abbati, Thomas Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem. "On the Fairness of Disentangled Representations" | [Home Page] | [PDF]

• Hado P. van Hasselt, Matteo Hessel, John Aslanides. "When to use parametric models in reinforcement learning?" | [Home Page] | [PDF]

• Qian Yang, Zhouyuan Huo, Wenlin Wang, Lawrence Carin. "Ouroboros: On Accelerating Training of Transformer-Based Language Models" | [Home Page] | [PDF]

• Igor Kuralenok, Vasilii Ershov, Igor Labutin. "MonoForest framework for tree ensemble analysis" | [Home Page] | [PDF]

• Bastian Alt, Adrian Šošić, Heinz Koeppl. "Correlation Priors for Reinforcement Learning" | [Home Page] | [PDF]

• Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu. "Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently" | [Home Page] | [PDF]

• David Widmann, Fredrik Lindsten, Dave Zachariah. "Calibration tests in multi-class classification: A unifying framework" | [Home Page] | [PDF]

• Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai. "Joint Optimization of Tree-based Index and Deep Model for Recommender Systems" | [Home Page] | [PDF]

• Jeremiah Liu, John Paisley, Marianthi-Anna Kioumourtzoglou, Brent Coull. "Accurate Uncertainty Estimation and Decomposition in Ensemble Learning" | [Home Page] | [PDF]

• Yoav Wald, Nofar Noy, Gal Elidan, Ami Wiesel. "Globally Optimal Learning for Structured Elliptical Losses" | [Home Page] | [PDF]

• David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, Colin A. Raffel. "MixMatch: A Holistic Approach to Semi-Supervised Learning" | [Home Page] | [PDF]

• Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Joern-Henrik Jacobsen. "Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks" | [Home Page] | [PDF]

• Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou. "Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder" | [Home Page] | [PDF]

• Fanny Yang, Zuowen Wang, Christina Heinze-Deml. "Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness" | [Home Page] | [PDF]

• Ahmed M. Alaa, Mihaela van der Schaar. "Attentive State-Space Modeling of Disease Progression" | [Home Page] | [PDF]

• Guillaume Gautier, Rémi Bardenet, Michal Valko. "On two ways to use determinantal point processes for Monte Carlo integration" | [Home Page] | [PDF]

• Jinjin Tian, Aaditya Ramdas. "ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls" | [Home Page] | [PDF]

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