2 papers
stat.ML2026
PACE: Plug-and-Play Contextual Embedding for Feature Screening with Pretrained Tabular Foundation Models
Qi Qin, Erbo Li, Ting Wei +4
In high-dimensional tabular learning, feature screening provides a lightweight, model-agnostic way to remove irrelevant features before model fitting. However, scoring raw values d…
stat.ME2026
Distributed Prediction under Heterogeneity with Unidentifiable Parameter
Erbo Li, Zhaojun Hu, Ting Wei +2
Predicting a response based on covariates is a fundamental problem in statistics and machine learning. However, profound difficulties arise when the underlying low-dimensional stru…