Papers
Risk-sensitive control as inference with Rényi divergence
Kaito Ito, Kenji Kashima
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
Lei, Tan, Yukang Zhang et al.
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
Shaoteng Liu, Haoqi Yuan, Minda Hu et al.
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
Jeongyeol Kwon, Shie Mannor, Constantine Caramanis et al.
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
Amrith Setlur, Saurabh Garg, Xinyang (Young) Geng et al.
RMLR: Extending Multinomial Logistic Regression into General Geometries
Ziheng Chen, Yue Song, Rui Wang et al.
Road Network Representation Learning with the Third Law of Geography
Haicang Zhou, Weiming Huang, Yile Chen et al.
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
Huayang Huang, Yu Wu, Qian Wang
RobIR: Robust Inverse Rendering for High-Illumination Scenes
Ziyi Yang, Yanzhen Chen, Xinyu Gao et al.
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation
Jiaming Liu, Mengzhen Liu, Zhenyu Wang et al.
Robot Policy Learning with Temporal Optimal Transport Reward
Yuwei Fu, Haichao Zhang, Di Wu et al.
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
Weixin An, Yuanyuan Liu, Fanhua Shang et al.
Robust Conformal Prediction Using Privileged Information
Shai Feldman, Yaniv Romano
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence
Ruiming Guo, Mouxing Yang, Yijie Lin et al.
Robust Fine-tuning of Zero-shot Models via Variance Reduction
Beier Zhu, Jiequan Cui, Hanwang Zhang
Robust Gaussian Processes via Relevance Pursuit
Sebastian Ament, Elizabeth Santorella, David Eriksson et al.
Robust Graph Neural Networks via Unbiased Aggregation
Zhichao Hou, Ruiqi Feng, Tyler Derr et al.
Robust group and simultaneous inferences for high-dimensional single index model
Weichao Yang, Hongwei Shi, Xu Guo et al.
Robustly overfitting latents for flexible neural image compression
Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai
Robust Mixture Learning when Outliers Overwhelm Small Groups
Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel et al.
Robust Neural Contextual Bandit against Adversarial Corruptions
Yunzhe Qi, Yikun Ban, Arindam Banerjee et al.
Robust Offline Active Learning on Graphs
Yuanchen Wu, Yubai Yuan
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
Andy Zhou, Bo Li, Haohan Wang
Robust Reinforcement Learning from Corrupted Human Feedback
Alexander Bukharin, Ilgee Hong, Haoming Jiang et al.
Robust Reinforcement Learning with General Utility
Ziyi Chen, Yan Wen, Zhengmian Hu et al.