Shengbin Ye

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$

Symbolic regression (SR) is a powerful technique for discovering symbolic expressions that characterize nonlinear relationships in data, gaining increasing attention for its interpretability, compactness, and robustness. However, existing SR methods do not scale to datasets with a large number of in…