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)

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)

Distilling Interpretable Models into Human-Readable Code. - Walker Ravina; Ethan Sterling; Olexiy Oryeshko; Nathan Bell; Honglei Zhuang; Xuanhui Wang; Yonghui Wu; Alexander Grushetsky (CoRR, 2021)