Finding Influential Training Samples for Gradient Boosted Decision Trees

1 code implementation • ICML 2018 • Boris Sharchilev, Yury Ustinovsky, Pavel Serdyukov, Maarten de Rijke

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).

Computational Efficiency