Xiaodong Yan

Strategy-driven Central Limit Theorem for Sequential Test

Offline Reinforcement Learning for Interval-Censored Data

Maximum Probability-driven Bandit Learning for Matching Markets

Robust Safety Guarantee for Large Language Models via Preference-Augmented Distributional Alignment

Designing Contracts for Effort and Regulatory Compliance

Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis

Online Differentially Private Conformal Prediction for Uncertainty Quantification

Strategic A/B testing via Maximum Probability-driven Two-armed Bandit