Statistical Inference under Adaptive Sampling with LinUCB

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Non-Asymptotic CLTs and Concentration Inequalities for Stochastic Approximation Algorithms, with Applications to Reinforcement Learning

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Off-policy Evaluation via Particle Filtering and Moment Matching

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Model simulation using offline observations with low-rank factor model

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From Reward Learning to Leaderboards: Uncertainty Quantification for LLMs under Heterogeneous Human Feedback

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From Offline to Low-Adaptive Reinforcement Learning

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Demystifying Group Relative Policy Optimization: Its Policy Gradient is a U-Statistic

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Reinforcement Learning For Individual Optimal Policy From Heterogeneous Data

Annie Qu
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Sampler Stochasticity in Training Diffusion Models for RLHF

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