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stat.ME2026
Efficient Propose-Test-Release for Optimal Differentially Private Estimation
Tao Shen, Xin T. Tong, Wanjie Wang
Differential privacy (DP) is a rigorous framework that protects the participation of individuals in a dataset by controlling information leakage through released estimators. It bri…
stat.ME2024
Learning Robust Treatment Rules for Censored Data
Yifan Cui, Junyi Liu, Tao Shen +2
There is a fast-growing literature on estimating optimal treatment rules directly by maximizing the expected outcome. In biomedical studies and operations applications, censored su…