Papers
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Anastasia Koloskova, Hadrien Hendrikx, Sebastian U Stich
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen et al.
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
Biao Liu, Ning Xu, Jiaqi Lv et al.
Revisiting Sampling for Combinatorial Optimization
Haoran Sun, Katayoon Goshvadi, Azade Nova et al.
Revisiting Simple Regret: Fast Rates for Returning a Good Arm
Yao Zhao, Connor Stephens, Csaba Szepesvari et al.
Revisiting Structured Variational Autoencoders
Yixiu Zhao, Scott Linderman
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang et al.
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Zexi Li, Tao Lin, Xinyi Shang et al.
Reward-Mixing MDPs with Few Latent Contexts are Learnable
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis et al.
RGE: A Repulsive Graph Rectification for Node Classification via Influence
Jaeyun Song, Sungyub Kim, Eunho Yang
Rigid Body Flows for Sampling Molecular Crystal Structures
Jonas Köhler, Michele Invernizzi, Pim De Haan et al.
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
Rafael Rodriguez-Sanchez, Benjamin Adin Spiegel, Jennifer Wang et al.
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
Liming Zhao, Kecheng Zheng, Yun Zheng et al.
RLSbench: Domain Adaptation Under Relaxed Label Shift
Saurabh Garg, Nick Erickson, James Sharpnack et al.
Robust and private stochastic linear bandits
Vasileios Charisopoulos, Hossein Esfandiari, Vahab Mirrokni
Robust and Scalable Bayesian Online Changepoint Detection
Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch
Robust Budget Pacing with a Single Sample
Santiago R. Balseiro, Rachitesh Kumar, Vahab Mirrokni et al.
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
Hwan Heo, Taekyung Kim, Jiyoung Lee et al.
Robust Collaborative Learning with Linear Gradient Overhead
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta et al.
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
Morgane Goibert, Clément Calauzènes, Ekhine Irurozki et al.
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
Faisal Hamman, Erfaun Noorani, Saumitra Mishra et al.
Robust Explanation for Free or At the Cost of Faithfulness
Zeren Tan, Yang Tian
Robustly Learning a Single Neuron via Sharpness
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas et al.
Robustness in Multimodal Learning under Train-Test Modality Mismatch
Brandon Mckinzie, Vaishaal Shankar, Joseph Yitan Cheng et al.
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning
Junghoon Kim, Taejoon Kim, David Love et al.