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

Erwan Fouillen, Claire Boyer, Maxime Sangnier

Gradient boosting is a prediction method that iteratively combines weak learners to produce a complex and accurate model. From an optimization point of view, the learning procedure…