2 papers
stat.ME2026
Dependable Exploitation of High-Dimensional Unlabeled Data in an Assumption-Lean Framework
Chao Ying, Siyi Deng, Yang Ning +2
Semi-supervised learning has attracted significant attention due to the proliferation of applications featuring limited labeled data but abundant unlabeled data. In this paper, we…
stat.ME2025
Machine-Learning-Assisted Comparison of Regression Functions
Jian Yan, Zhuoxi Li, Yang Ning +1
We revisit the classical problem of comparing regression functions, a fundamental question in statistical inference with broad relevance to modern applications such as data integra…