M. Sedki

Parallel gradient boosting for flexible estimation of conditional distributions

A modification of the gradient boosting algorithm, which is called parallel gradient boosting, designed to circumvent all limitations of classical implementations, is studied, which provides predictions of similar quality to state-of-the-art boosting libraries such as XGBoost, while being faster by several orders of ma...