5 papers
Online Individualized Treatment Selection under Partial Feedback: False Discovery Control and Minimax Optimality
Runzhe Gu, Zinan Zhao, Wenguang Sun +1
We study online individualized treatment selection when only the outcome under the assigned treatment is observed. Our objective is to preferentially treat individuals whose potent…
Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing
Rongyi Sun, Wenguang Sun, Zinan Zhao
This paper addresses structured out-of-distribution (OOD) testing in high-stakes machine learning applications. Traditional conformal methods rely on joint exchangeability, making…
Conformalized Multiple Testing under Unknown Null Distribution with Symmetric Errors
Yang Tian, Zinan Zhao, Wenguang Sun
This article addresses a fundamental concern, first raised by Efron (2004), regarding the selection of null distributions in large-scale multiple testing. In modern data-intensive…
A Conformalized Empirical Bayes Method for Multiple Testing with Side Information
Zinan Zhao, Wenguang Sun
This article presents a Conformalized Locally Adaptive Weighting (CLAW) approach to multiple testing with side information. The proposed method employs innovative data-driven strat…
False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values
Zinan Zhao, Wenguang Sun
The effective utilization of structural information in data while ensuring statistical validity poses a significant challenge in false discovery rate (FDR) analyses. Conformal infe…