Proximal boosting: aggregating weak learners to minimize non-differentiable losses

no code implementations • 29 Aug 2018 • Erwan Fouillen, Claire Boyer, Maxime Sangnier

Gradient boosting is a prediction method that iteratively combines weak learners to produce a complex and accurate model.