3 papers
stat.ME2026
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…
stat.ME2025
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…
stat.ME2025
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…