59 citations · 195 across the 37 of their papers we have counts for
4 papers · 1 filter
Regularized Learning Schemes in Feature Banach Spaces
Patrick L. Combettes, Saverio Salzo, Silvia Villa
This paper proposes a unified framework for the investigation of constrained learning theory in reflexive Banach spaces of features via regularized empirical risk minimization. The…
Learning with incremental iterative regularization
Lorenzo Rosasco, Silvia Villa
Within a statistical learning setting, we propose and study an iterative regularization algorithm for least squares defined by an incremental gradient method. In particular, we sho…
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…