E. Veronica Belmega

Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach

Motivated by applications to machine learning and imaging science, we study a class of online and stochastic optimization problems with loss functions that are not Lipschitz continuous; in particular, the loss functions encountered by the optimizer could exhibit gradient singularities or be singular…