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.…
math.ST2026
A Modern Theory for High-dimensional Cox Regression Models
Hanxuan Ye, Xianyang Zhang, Huijuan Zhou
The proportional hazards model has been extensively used in many fields such as biomedicine to estimate and perform statistical significance testing on the effects of covariates in…