Papers
A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes
Alireza Rezaei, Shayan Oveis Gharan
Adversarial Online Learning with noise
Alon Resler, Yishay Mansour
Adaptive Antithetic Sampling for Variance Reduction
Hongyu Ren, Shengjia Zhao, Stefano Ermon
Almost Unsupervised Text to Speech and Automatic Speech Recognition
Yi Ren, Xu Tan, Tao Qin et al.
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise
Henry Reeve, Ata Kaban
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt et al.
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation
Ramin Raziperchikolaei, Harish Bhat
HyperGAN: A Generative Model for Diverse, Performant Neural Networks
Neale Ratzlaff, Li Fuxin
Topological Data Analysis of Decision Boundaries with Application to Model Selection
Karthikeyan Natesan Ramamurthy, Kush Varshney, Krishnan Mody
Screening rules for Lasso with non-convex Sparse Regularizers
Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
Kate Rakelly, Aurick Zhou, Chelsea Finn et al.
Does Data Augmentation Lead to Positive Margin?
Shashank Rajput, Zhili Feng, Zachary Charles et al.
Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation
Tahrima Rahman, Shasha Jin, Vibhav Gogate
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit et al.
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
Arvind Raghunathan, Anoop Cherian, Devesh Jha
Direct Uncertainty Prediction for Medical Second Opinions
Maithra Raghu, Katy Blumer, Rory Sayres et al.
Meta-Learning Neural Bloom Filters
Jack Rae, Sergey Bartunov, Timothy Lillicrap
Learning to Collaborate in Markov Decision Processes
Goran Radanovic, Rati Devidze, David Parkes et al.
Nonlinear Distributional Gradient Temporal-Difference Learning
Chao Qu, Shie Mannor, Huan Xu
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio, Jian Tang
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin, Nicholas Carlini, Garrison Cottrell et al.
Fault Tolerance in Iterative-Convergent Machine Learning
Aurick Qiao, Bryon Aragam, Bingjing Zhang et al.
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Kaizhi Qian, Yang Zhang, Shiyu Chang et al.
SGD: General Analysis and Improved Rates
Robert Mansel Gower, Nicolas Loizou, Xun Qian et al.