Papers
Bayesian Distributed Stochastic Gradient Descent
Michael Teng, Frank Wood
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
Nathan Kallus, Xiaojie Mao, Madeleine Udell
Policy Regret in Repeated Games
Raman Arora, Michael Dinitz, Teodor Vanislavov Marinov et al.
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka, Kagan Tumer
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma et al.
Trajectory Convolution for Action Recognition
Yue Zhao, Yuanjun Xiong, Dahua Lin
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin Elsayed, Shreya Shankar, Brian Cheung et al.
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
YAN ZHENG, Zhaopeng Meng, Jianye Hao et al.
Adversarial vulnerability for any classifier
Alhussein Fawzi, Hamza Fawzi, Omar Fawzi
The committee machine: Computational to statistical gaps in learning a two-layers neural network
Benjamin Aubin, Antoine Maillard, jean barbier et al.
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account
Chaitanya Ryali, Angela J. Yu
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
Raghav Somani, Chirag Gupta, Prateek Jain et al.
Horizon-Independent Minimax Linear Regression
Alan Malek, Peter L Bartlett
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh et al.
End-to-End Differentiable Physics for Learning and Control
Filipe de Avila Belbute-Peres, Kevin Smith, Kelsey Allen et al.
Empirical Risk Minimization Under Fairness Constraints
Michele Donini, Luca Oneto, Shai Ben-David et al.
A Convex Duality Framework for GANs
Farzan Farnia, David Tse
SLAYER: Spike Layer Error Reassignment in Time
Sumit Bam Shrestha, Garrick Orchard
HitNet: Hybrid Ternary Recurrent Neural Network
Peiqi Wang, Xinfeng Xie, Lei Deng et al.
A Bandit Approach to Sequential Experimental Design with False Discovery Control
Kevin G. Jamieson, Lalit Jain
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation
Siyuan Huang, Siyuan Qi, Yinxue Xiao et al.
Learning from Group Comparisons: Exploiting Higher Order Interactions
Yao Li, Minhao Cheng, Kevin Fujii et al.
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models
Amir Dezfouli, Richard Morris, Fabio T Ramos et al.
Bilevel Distance Metric Learning for Robust Image Recognition
Jie Xu, Lei Luo, Cheng Deng et al.
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao, Zheng Shou, Alireza Zareian et al.