DC approach for a family of non-convex problems in machine learning

Abstract

DC approach for solving non-convex problems in machine learning with a focus on non-convex sparsity regularization.

Date
Oct 10, 2014 10:00 AM
Gilles Gasso
Gilles Gasso
Full Professor

Research interests: AI, machine learning, optimization and image processing