Alexander Grushetsky

According to our database, Alexander Grushetsky authored at least 4 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

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

Proceedings of the WSDM '21, 2021

2020

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

2017

TF Boosted Trees: A Scalable TensorFlow Based Framework for Gradient Boosting.

Natalia Ponomareva, Soroush Radpour, Gilbert Hendry, Salem Haykal, Thomas Colthurst, Petr Mitrichev, Alexander Grushetsky

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017