Ron Appel

A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency

There is a need for simple yet accurate white-box learning systems that train quickly and with little data. To this end, we showcase REBEL, a multi-class boosting method, and present a novel family of weak learners called localized similarities. Our framework provably minimizes the training error of…