3 papers
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…
math.CO2009
A Gray path on binary partitions
Thomas Colthurst, Michael Kleber
A binary partition of a positive integer is a partition of in which each part has size a power of two. In this note we first construct a Gray sequence on the set of binary…