Yan, Xiaodong

11 publications

AISTATS 2025 Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data Hongni Wang, Junxi Zhang, Na Li, Linglong Kong, Bei Jiang, Xiaodong Yan

NeurIPS 2025 Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis Jianqi Feng, Chengchun Shi, Zhenke Wu, Xiaodong Yan, Wei Zhao

ICML 2025 Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference Ce Zhang, Yixin Han, Yafei Wang, Xiaodong Yan, Linglong Kong, Ting Li, Bei Jiang

NeurIPS 2025 Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-Aware Regularized Exploration in Reinforcement Learning Ke Sun, Yingnan Zhao, Enze Shi, Yafei Wang, Xiaodong Yan, Bei Jiang, Linglong Kong

ICML 2025 Online Differentially Private Conformal Prediction for Uncertainty Quantification Qiangqiang Zhang, Ting Li, Xinwei Feng, Xiaodong Yan, Jinhan Xie

ICML 2025 Strategic A/B Testing via Maximum Probability-Driven Two-Armed Bandit Yu Zhang, Shanshan Zhao, Bokui Wan, Jinjuan Wang, Xiaodong Yan

AAAI 2024 Analysis of Differentially Private Synthetic Data: A Measurement Error Approach Yangdi Jiang, Yi Liu, Xiaodong Yan, Anne-Sophie Charest, Linglong Kong, Bei Jiang

AAAI 2024 Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility Shanshan Zhao, Wenhai Cui, Bei Jiang, Linglong Kong, Xiaodong Yan

AAAI 2023 DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu

AAAI 2023 Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators Wenhai Cui, Xiaoting Ji, Linglong Kong, Xiaodong Yan

AAAI 2023 Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data Hongni Wang, Jingxin Yan, Xiaodong Yan