Data sparse nonparametric regression with ε-insensitive losses

Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc

Abstract: Leveraging the celebrated support vector regression (SVR) method, we propose a unifying framework in order to deliver regression machines in reproducing kernel Hilbert spaces (RKHSs) with data spar...