157 citations · 233 across the 11 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…
stat.ML2017
Compact Multi-Class Boosted Trees
Natalia Ponomareva, Thomas Colthurst, Gilbert Hendry +2
Gradient boosted decision trees are a popular machine learning technique, in part because of their ability to give good accuracy with small models. We describe two extensions to th…