Fabian Obster

Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation

2024 · arXiv (Cornell University)

This paper introduces a novel framework for reducing variable selection bias by balancing selection frequencies of base-learners in boosting and introduces the sgboost package in R, which implements this framework combined with sparse-group boosting. The …