2 papers
stat.ME2024
Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
Ye Tian, Peng Wu, Zhiqiang Tan
The accessibility of vast volumes of unlabeled data has sparked growing interest in semi-supervised learning (SSL) and covariate shift transfer learning (CSTL). In this paper, we p…
stat.ML2023
On semi-supervised estimation using exponential tilt mixture models
Ye Tian, Xinwei Zhang, Zhiqiang Tan
Consider a semi-supervised setting with a labeled dataset of binary responses and predictors and an unlabeled dataset with only the predictors. Logistic regression is equivalent to…