1.4k citations · 1.4k across the 2 of their papers we have counts for
2 papers
cs.LG2018★ 1.4k cited
CatBoost: gradient boosting with categorical features support
Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin
In this paper we present CatBoost, a new open-sourced gradient boosting library that successfully handles categorical features and outperforms existing publicly available implement…
cs.LG2018★ 1 cited
Why every GBDT speed benchmark is wrong
Anna Veronika Dorogush, Vasily Ershov, Dmitriy Kruchinin
This article provides a comprehensive study of different ways to make speed benchmarks of gradient boosted decision trees algorithm. We show main problems of several straight forwa…