3 papers
stat.ME2026
Neural Wasserstein Two-Sample Tests
Xiaoyu Hu, Zhenhua Lin
The two-sample homogeneity testing problem is fundamental in statistics and becomes particularly challenging in high dimensions, where classical tests can suffer substantial power…
stat.ML2025
Fairness-aware Bayes optimal functional classification
Xiaoyu Hu, Gengyu Xue, Zhenhua Lin +1
Algorithmic fairness has become a central topic in machine learning, and mitigating disparities across different subpopulations has emerged as a rapidly growing research area. In t…
stat.ME2024
Transfer Learning Meets Functional Linear Regression: No Negative Transfer under Posterior Drift
Xiaoyu Hu, Zhenhua Lin
Posterior drift refers to changes in the relationship between responses and covariates while the distributions of the covariates remain unchanged. In this work, we explore function…