Papers
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Jack Parker-Holder, Luke Metz, Cinjon Resnick et al.
Riemannian Continuous Normalizing Flows
Emile Mathieu, Maximilian Nickel
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
Yingjie Fei, Zhuoran Yang, Yudong Chen et al.
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making
Sergey Shuvaev, Sarah Starosta, Duda Kvitsiani et al.
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Caglar Gulcehre, Ziyu Wang, Alexander Novikov et al.
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri et al.
Robust, Accurate Stochastic Optimization for Variational Inference
Akash Kumar Dhaka, Alejandro Catalina, Michael R Andersen et al.
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs
Edouard Leurent, Odalric-Ambrym Maillard, Denis Efimov
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
Sam Hopkins, Jerry Li, Fred Zhang
Robust compressed sensing using generative models
Ajil Jalal, Liu Liu, Alexandros G Dimakis et al.
Robust Correction of Sampling Bias using Cumulative Distribution Functions
Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang, Hongge Chen, Chaowei Xiao et al.
Robust Density Estimation under Besov IPM Losses
Ananya Uppal, Shashank Singh, Barnabas Poczos
Robust Disentanglement of a Few Factors at a Time using rPU-VAE
Benjamin Estermann, Markus Marks, Mehmet Fatih Yanik
Robust Federated Learning: The Case of Affine Distribution Shifts
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani et al.
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time
Jerry Li, Guanghao Ye
Robust large-margin learning in hyperbolic space
Melanie Weber, Manzil Zaheer, Ankit Singh Rawat et al.
Robust Meta-learning for Mixed Linear Regression with Small Batches
Weihao Kong, Raghav Somani, Sham Kakade et al.
Robust Multi-Agent Reinforcement Learning with Model Uncertainty
Kaiqing Zhang, TAO SUN, Yunzhe Tao et al.
Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian
Yunpeng Shi, Shaohan Li, Gilad Lerman
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations
Kevin Scaman, Cedric Malherbe
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Ginevra Carbone, Matthew Wicker, Luca Laurenti et al.
Robustness of Community Detection to Random Geometric Perturbations
Sandrine Peche, Vianney Perchet
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
Yogesh Balaji, Rama Chellappa, Soheil Feizi
Robust Optimization for Fairness with Noisy Protected Groups
Serena Wang, Wenshuo Guo, Harikrishna Narasimhan et al.