3 papers
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…
cs.SI2026
NetPTR: Optimal Differentially Private Spectral Community Detection on Sparse Networks
Wanjie Wang, Tao Shen
Spectral community detection estimates latent labels from the leading eigenspace of a network adjacency matrix, but releasing the resulting labels can disclose sensitive relational…
stat.ME2026
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…