18 citations · 58 across the 18 of their papers we have counts for
3 papers · 2 filters
A forward-backward view of some primal-dual optimization methods in image recovery
Patrick L. Combettes, Laurent Condat, Jean-Christophe Pesquet +1
A wide array of image recovery problems can be abstracted into the problem of minimizing a sum of composite convex functions in a Hilbert space. To solve such problems, primal-dual…
A Stochastic forward-backward splitting method for solving monotone inclusions in Hilbert spaces
Lorenzo Rosasco, Silvia Villa, Bang Công Vũ
We propose and analyze the convergence of a novel stochastic forward-backward splitting algorithm for solving monotone inclusions given by the sum of a maximal monotone operator an…
Convergence of Stochastic Proximal Gradient Algorithm
Lorenzo Rosasco, Silvia Villa, Bang Công Vũ
We prove novel convergence results for a stochastic proximal gradient algorithm suitable for solving a large class of convex optimization problems, where a convex objective functio…