Papers
Recycling Privileged Learning and Distribution Matching for Fairness
Novi Quadrianto, Viktoriia Sharmanska
Reducing Reparameterization Gradient Variance
Andrew Miller, Nicholas Foti, Alexander D'Amour et al.
Regret Analysis for Continuous Dueling Bandit
Wataru Kumagai
Regret Minimization in MDPs with Options without Prior Knowledge
Ronan Fruit, Matteo Pirotta, Alessandro Lazaric et al.
Regularized Modal Regression with Applications in Cognitive Impairment Prediction
Xiaoqian Wang, Hong Chen, Weidong Cai et al.
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh, Tackgeun You, Jonghwan Mun et al.
Reinforcement Learning under Model Mismatch
Aurko Roy, Huan Xu, Sebastian Pokutta
Reliable Decision Support using Counterfactual Models
Peter Schulam, Suchi Saria
Renyi Differential Privacy Mechanisms for Posterior Sampling
Joseph Geumlek, Shuang Song, Kamalika Chaudhuri
Repeated Inverse Reinforcement Learning
Kareem Amin, Nan Jiang, Satinder Singh
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
Jeffrey Pennington, Samuel Schoenholz, Surya Ganguli
Revenue Optimization with Approximate Bid Predictions
Andres Munoz, Sergei Vassilvitskii
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces
Songbai Yan, Chicheng Zhang
Riemannian approach to batch normalization
Minhyung Cho, Jaehyung Lee
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan et al.
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor W Killian, Samuel Daulton, George Konidaris et al.
Robust Conditional Probabilities
Yoav Wald, Amir Globerson
Robust Estimation of Neural Signals in Calcium Imaging
Hakan Inan, Murat A Erdogdu, Mark Schnitzer
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes
Jeremiah Liu, Brent Coull
Robust Imitation of Diverse Behaviors
Ziyu Wang, Josh S Merel, Scott E Reed et al.
Robust Optimization for Non-Convex Objectives
Robert S. Chen, Brendan Lucier, Yaron Singer et al.
Rotting Bandits
Nir Levine, Koby Crammer, Shie Mannor
Runtime Neural Pruning
Ji Lin, Yongming Rao, Jiwen Lu et al.
Safe Adaptive Importance Sampling
Sebastian U Stich, Anant Raj, Martin Jaggi