Han-Feng Liu

TemplateGBM: Learning Gradient Boosting Decision Trees with Predefined Structures

Gradient boosting decision trees (GBDTs) are highly effective for tabular data, but their data-dependent and irregular tree construction limits mini-batch training, incremental updates, and efficient GPU execution. We present TemplateGBM, a GBDT learning framework that separates tree-structure selection from leaf-weigh...