TF Boosted Trees: A Scalable TensorFlow Based Framework for Gradient Boosting. - Natalia Ponomareva 001; Soroush Radpour; Gilbert Hendry; Salem Haykal; Thomas Colthurst; Petr Mitrichev; Alexander Grushetsky (ECML/PKDD (3), 2017)

Interpretable Learning-to-Rank with Generalized Additive Models. - Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Alexander Grushetsky; Yonghui Wu; Petr Mitrichev; Ethan Sterling; Nathan Bell; Walker Ravina; Hai Qian (CoRR, 2020)

Modeling Text with Decision Forests using Categorical-Set Splits. - Mathieu Guillame-Bert; Sebastian Bruch 001; Petr Mitrichev; Petr Mikheev; Jan Pfeifer (CoRR, 2020)

Interpretable Ranking with Generalized Additive Models. - Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Alexander Grushetsky; Yonghui Wu; Petr Mitrichev; Ethan Sterling; Nathan Bell; Walker Ravina; Hai Qian (WSDM, 2021)