2 papers
stat.ME2026
Model-Agnostic and Uncertainty-Aware Dimensionality Reduction in Supervised Learning
Yue Yu, Guanghui Wang, Liu Liu +1
Dimension reduction is a fundamental tool for analyzing high-dimensional data in supervised learning. Traditional methods for estimating intrinsic order often prioritize model-spec…
stat.ME2025
Aggregating Conformal Prediction Sets via α-Allocation
Congbin Xu, Yue Yu, Haojie Ren +2
Conformal prediction offers a distribution-free framework for constructing prediction sets with finite-sample coverage. Yet, efficiently leveraging multiple conformity scores to re…