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20172021
most citedInterpretable Learning-to-Rank with Generalized Additive Models

5 citations · 5 across the 2 of their papers we have counts for

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stat.ML2017

TF Boosted Trees: A scalable TensorFlow based framework for gradient boosting

Natalia Ponomareva, Soroush Radpour, Gilbert Hendry +4

TF Boosted Trees (TFBT) is a new open-sourced frame-work for the distributed training of gradient boosted trees. It is based on TensorFlow, and its distinguishing features include…