Publications (17)
A stochastic inertial forward-backward splitting algorithm for multivariate monotone inclusions
Lorenzo Rosasco, Silvia Villa, Bang Cong Vu
Stochastic inertial primal-dual algorithms
Lorenzo Rosasco, Silvia Villa, Bang Cong Vu
Proximal methods for the latent group lasso penalty
Silvia Villa, Lorenzo Rosasco, Sofia Mosci +1
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning
Curzio Basso, Matteo Santoro, Alessandro Verri +1
Learning with incremental iterative regularization
Lorenzo Rosasco, Silvia Villa
Don't relax: early stopping for convex regularization
Simon Matet, Lorenzo Rosasco, Silvia Villa +1
An extension of Mercer theorem to vector-valued measurable kernels
Ernesto De Vito, Veronica Umanita`, Silvia Villa
A Stochastic forward-backward splitting method for solving monotone inclusions in Hilbert spaces
Lorenzo Rosasco, Silvia Villa, Bang Công Vũ
Consistent Learning by Composite Proximal Thresholding
Patrick L. Combettes, Saverio Salzo, Silvia Villa
Learning Multiple Visual Tasks while Discovering their Structure
Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
Convergence of Stochastic Proximal Gradient Algorithm
Lorenzo Rosasco, Silvia Villa, Bang Công Vũ
A first-order stochastic primal-dual algorithm with correction step
Lorenzo Rosasco, Silvia Villa, Bang Cong Vu
Iterative regularization via dual diagonal descent
Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Regularized Learning Schemes in Feature Banach Spaces
Patrick L. Combettes, Saverio Salzo, Silvia Villa
Nonparametric sparsity and regularization
Lorenzo Rosasco, Silvia Villa, Sofia Mosci +2
On Learnability, Complexity and Stability
Silvia Villa, Lorenzo Rosasco, Tomaso Poggio
Modified Fejér sequences and applications
Junhong Lin, Lorenzo Rosasco, Silvia Villa +1