Rémy Chapelle

Parallel gradient boosting for flexible estimation of conditional distributions

Rémy Chapelle, Nicolas Vayatis, Bruno Falissard, Mohammed Sedki

Boosting is one of the most successful learning techniques for standard classification and regression tasks. Its extension to multi-output prediction problems has found an increasing number of applications in recent years. Among them is the prediction of entire conditional distri…Read more