3 papers
stat.ME2026
Bias-Aware External-Model-Assisted Inference in High-Dimensional Regression
Hongzhe Zhang, Hanxuan Ye, Hongzhe Li
In high-dimensional semi-supervised linear regression, prediction-powered inference (PPI) corrects an external predictor with a rectifier estimated from the labeled data. In a line…
stat.ML2026
Multicalibration Boosting: Theory, Convergence, and Transferability
Hanxuan Ye, Hongzhe Li
Multicalibration extends classical calibration by requiring predictions to be unbiased over a rich collection of functions, encompassing both prediction slices and subpopulations.…
stat.ME2022
Spline Estimation of Functional Principal Components via Manifold Conjugate Gradient Algorithm
Shiyuan He, Hanxuan Ye, Kejun He
Functional principal component analysis has become the most important dimension reduction technique in functional data analysis. Based on B-spline approximation, functional princip…