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…