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math.ST2024
Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection
Hengrui Luo, Meng Li
Tree-based methods are powerful nonparametric techniques in statistics and machine learning. However, their effectiveness, particularly in finite-sample settings, is not fully unde…
stat.ML2024
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large
Shengbin Ye, Meng Li
Symbolic regression (SR) is a powerful technique for discovering symbolic expressions that characterize nonlinear relationships in data, gaining increasing attention for its interp…