Papers
Regret Bounds for Multilabel Classification in Sparse Label Regimes
Róbert Busa-Fekete, Heejin Choi, Krzysztof J. Dembczynski et al.
Regret Bounds for Risk-Sensitive Reinforcement Learning
Osbert Bastani, Jason Yecheng Ma, Estelle Shen et al.
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games
Sihan Zeng, Thinh Doan, Justin Romberg
Regularized Molecular Conformation Fields
Lihao Wang, Yi Zhou, Yiqun Wang et al.
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro et al.
Reinforced Genetic Algorithm for Structure-based Drug Design
Tianfan Fu, Wenhao Gao, Connor Coley et al.
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
Jonatha Anselmi, Bruno Gaujal, Louis-Sébastien Rebuffi
Reinforcement Learning with a Terminator
Guy Tennenholtz, Nadav Merlis, Lior Shani et al.
Reinforcement Learning with Automated Auxiliary Loss Search
Tairan He, Yuge Zhang, Kan Ren et al.
Reinforcement Learning with Logarithmic Regret and Policy Switches
Grigoris Velegkas, Zhuoran Yang, Amin Karbasi
Reinforcement Learning with Neural Radiance Fields
Danny Driess, Ingmar Schubert, Pete Florence et al.
Reinforcement Learning with Non-Exponential Discounting
Matthias Schultheis, Constantin A Rothkopf, Heinz Koeppl
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
ABHRA CHAUDHURI, Massimiliano Mancini, Zeynep Akata et al.
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
Fengzhuo Zhang, Boyi Liu, Kaixin Wang et al.
Relation-Constrained Decoding for Text Generation
Xiang Chen, Zhixian Yang, Xiaojun Wan
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Tycho van der Ouderaa, David W. Romero, Mark van der Wilk
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhiwei Deng, Olga Russakovsky
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence
Kyungmin Lee, Jinwoo Shin
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang et al.
Repairing Neural Networks by Leaving the Right Past Behind
Ryutaro Tanno, Melanie F. Pradier, Aditya Nori et al.
Representing Spatial Trajectories as Distributions
Didac Suris Coll-Vinent, Carl Vondrick
Reproducibility in Optimization: Theoretical Framework and Limits
Kwangjun Ahn, Prateek Jain, Ziwei Ji et al.
Residual Multiplicative Filter Networks for Multiscale Reconstruction
Shayan Shekarforoush, David Lindell, David J Fleet et al.
Resolving the data ambiguity for periodic crystals
Daniel Widdowson, Vitaliy Kurlin
Resource-Adaptive Federated Learning with All-In-One Neural Composition
Yiqun Mei, Pengfei Guo, Mo Zhou et al.