Papers
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Da Xu, Chuanwei Ruan, Evren Korpeoglu et al.
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan, Qi Ming et al.
Re-understanding Finite-State Representations of Recurrent Policy Networks
Mohamad H Danesh, Anurag Koul, Alan Fern et al.
Revealing the Structure of Deep Neural Networks via Convex Duality
Tolga Ergen, Mert Pilanci
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
Yuan Deng, Sebastien Lahaie, Vahab Mirrokni et al.
Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning
Tadashi Kozuno, Yunhao Tang, Mark Rowland et al.
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal, Hei Law, Bowei Liu et al.
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
Johan Samir Obando Ceron, Pablo Samuel Castro
Reward Identification in Inverse Reinforcement Learning
Kuno Kim, Shivam Garg, Kirankumar Shiragur et al.
Riemannian Convex Potential Maps
Samuel Cohen, Brandon Amos, Yaron Lipman
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
Yaqi Duan, Chi Jin, Zhiyuan Li
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
Yingjie Fei, Zhuoran Yang, Zhaoran Wang
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
Ethan Perez, Douwe Kiela, Kyunghyun Cho
RNNRepair: Automatic RNN Repair via Model-based Analysis
Xiaofei Xie, Wenbo Guo, Lei Ma et al.
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
Soumyasundar Pal, Liheng Ma, Yingxue Zhang et al.
Robust Asymmetric Learning in POMDPs
Andrew Warrington, Jonathan W Lavington, Adam Scibior et al.
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
Ayush Jain, Alon Orlitsky
Robust Inference for High-Dimensional Linear Models via Residual Randomization
Y. Samuel Wang, Si Kai Lee, Panos Toulis et al.
Robust Learning-Augmented Caching: An Experimental Study
Jakub Chłędowski, Adam Polak, Bartosz Szabucki et al.
Robust Learning for Data Poisoning Attacks
Yunjuan Wang, Poorya Mianjy, Raman Arora
Robust Policy Gradient against Strong Data Corruption
Xuezhou Zhang, Yiding Chen, Xiaojin Zhu et al.
Robust Pure Exploration in Linear Bandits with Limited Budget
Ayya Alieva, Ashok Cutkosky, Abhimanyu Das
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
Kishan Panaganti Badrinath, Dileep Kalathil
Robust Representation Learning via Perceptual Similarity Metrics
Saeid A Taghanaki, Kristy Choi, Amir Hosein Khasahmadi et al.
Robust Testing and Estimation under Manipulation Attacks
Jayadev Acharya, Ziteng Sun, Huanyu Zhang