Yury Ustinovskiy — accepted AI-conference papers

2018

Finding Influential Training Samples for Gradient Boosted Decision Trees

Boris Sharchilev, Yury Ustinovskiy, Pavel Serdyukov, Maarten Rijke

ICML 2018oral

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 of formalizing this problem is studying how the model’s predictions change upon leave-one-out retraini…

Cited by 72 Source ↗PDF ↗code ↗Scholar ↗

2016

Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning

Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev, Pavel Serdyukov

ICML 2016poster

Labeled training data is an essential part of any supervised machine learning framework. In practice, there is a trade-off between the quality of a label and its cost. In this paper, we consider a problem of learning to rank on a large-scale dataset with low-quality relevance labels aiming at maximi…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗