no code implementations • 14 Apr 2014 • Andreas Argyriou, Marco Signoretto, Johan Suykens
We study a hybrid conditional gradient - smoothing algorithm (HCGS) for solving composite convex optimization problems which contain several terms over a bounded set.
no code implementations • 25 Mar 2013 • Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil
During the past years there has been an explosion of interest in learning methods based on sparsity regularization.
no code implementations • NeurIPS 2012 • Andreas Argyriou, Rina Foygel, Nathan Srebro
We derive a novel norm that corresponds to the tightest convex relaxation of sparsity combined with an $\ell_2$ penalty.