Microsoft, DP Technology & Tsinghua U Enable Efficient Low-Precision Training of Gradient Boosting Decision Trees

In the new paper Quantized Training of Gradient Boosting Decision Trees, a team from Microsoft Research, DP Technology and Tsinghua University proposes a method for the low-precision training of gradient boosting decision trees via gradient quantization.

ai artificial intelligence boosting decision decision-tree deep-neural-networks gradient gradient-boosting machine learning machine learning & data science microsoft ml precision research technology training trees