Papers
Adversarial Nonnegative Matrix Factorization
Lei Luo, Yanfu Zhang, Heng Huang
Adversarial Risk via Optimal Transport and Optimal Couplings
Muni Sreenivas Pydi, Varun Jog
Adversarial Robustness Against the Union of Multiple Perturbation Models
Pratyush Maini, Eric Wong, Zico Kolter
Adversarial Robustness for Code
Pavol Bielik, Martin Vechev
Adversarial Robustness via Runtime Masking and Cleansing
Yi-Hsuan Wu, Chia-Hung Yuan, Shan-Hung Wu
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
Pan Xu, Quanquan Gu
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning
Yunhua Xiang, Noah Simon
A Flexible Latent Space Model for Multilayer Networks
Xuefei Zhang, Songkai Xue, Ji Zhu
A Free-Energy Principle for Representation Learning
Yansong Gao, Pratik Chaudhari
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
A general recurrent state space framework for modeling neural dynamics during decision-making
David Zoltowski, Jonathan Pillow, Scott Linderman
A Generative Model for Molecular Distance Geometry
Gregor Simm, Jose Miguel Hernandez-Lobato
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu, Pan Mu, Xiaoming Yuan et al.
Agent57: Outperforming the Atari Human Benchmark
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski et al.
A Geometric Approach to Archetypal Analysis via Sparse Projections
Vinayak Abrol, Pulkit Sharma
Aggregation of Multiple Knockoffs
Tuan-Binh Nguyen, Jerome-Alexis Chevalier, Bertrand Thirion et al.
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi, Minkai Xu, Hongyu Guo et al.
Aligned Cross Entropy for Non-Autoregressive Machine Translation
Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer et al.
Alleviating Privacy Attacks via Causal Learning
Shruti Tople, Amit Sharma, Aditya Nori
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
Rob Brekelmans, Vaden Masrani, Frank Wood et al.
Almost Tune-Free Variance Reduction
Bingcong Li, Lingda Wang, Georgios B. Giannakis
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change
Salman Sadiq Shuvo, Yasin Yilmaz, Alan Bush et al.
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth
Yiping Lu, Chao Ma, Yulong Lu et al.
Amortised Learning by Wake-Sleep
Li Wenliang, Theodore Moskovitz, Heishiro Kanagawa et al.
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
Tianju Xue, Alex Beatson, Sigrid Adriaenssens et al.