Finding Influential Training Samples for Gradient Boosted Decision Trees

Boris Sharchilev, Yury Ustinovskiy, Pavel Serdyukov, Maarten de Rijke

Abstract: We address the problem of finding influential training samples for a particular case of tree ensemble-based models, e.g., Random Forest (RF) or Gradient Boosted Decision Trees (GBDT). A natural way...