Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning

Takuo Matsubara

Gradient boosting is a sequential ensemble method that fits a new weaker learner to pseudo residuals at each iteration. We propose Wasserstein gradient boosting, a novel extension…