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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.ME2020
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning
Siyi Deng, Yang Ning, Jiwei Zhao +1
We consider the estimation problem in high-dimensional semi-supervised learning. Our goal is to investigate when and how the unlabeled data can be exploited to improve the estimati…