2023
ForestPrune: Compact Depth-Pruned Tree Ensembles
AISTATS 2023poster
Tree ensembles are powerful models that achieve excellent predictive performances, but can grow to unwieldy sizes. These ensembles are often post-processed (pruned) to reduce memory footprint and improve interpretability. We present ForestPrune, a novel optimization framework to post-process tree en…