Silvia Villa

发表

Accelerated and Inexact Forward-Backward Algorithms

Luca Baldassarre, Alessandro Verri, Saverio Salzo, 2013, SIAM J. Optim..

Well-posedness of Nonconvex Integral Functionals

Silvia Villa, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Stochastic gradient methods for stochastic model predictive control

Alberto Bemporad, Panagiotis Patrinos, Silvia Villa, 2016, 2016 European Control Conference (ECC).

Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability

Lorenzo Rosasco, Silvia Villa, Guillaume Garrigos, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Iterative regularization for convex regularizers

Lorenzo Rosasco, Silvia Villa, Mathurin Massias, 2020, AISTATS.

A Regularization Approach to Nonlinear Variable Selection

Lorenzo Rosasco, Alessandro Verri, Silvia Villa, 2010, AISTATS.

PADDLE: Proximal Algorithm for Dual Dictionaries LEarning pdf

Alessandro Verri, Silvia Villa, Matteo Santoro, 2010, ICANN.

Convergence analysis of a proximal Gauss-Newton method

Saverio Salzo, Silvia Villa, 2012, Comput. Optim. Appl..

Modified Fejér sequences and applications

Lorenzo Rosasco, Silvia Villa, Ding-Xuan Zhou, 2015, Comput. Optim. Appl..

A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups

Lorenzo Rosasco, Alessandro Verri, Silvia Villa, 2010, NIPS.

Learning multiple visual tasks while discovering their structure

Lorenzo Rosasco, Carlo Ciliberto, Silvia Villa, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Stochastic Forward–Backward Splitting for Monotone Inclusions

Lorenzo Rosasco, Bang Công Vu, Silvia Villa, 2016, J. Optim. Theory Appl..

On Learnability, Complexity and Stability pdf

Lorenzo Rosasco, Tomaso A. Poggio, Silvia Villa, 2013, Empirical Inference.

Don't relax: early stopping for convex regularization pdf

Lorenzo Rosasco, Silvia Villa, Simon Matet, 2017, ArXiv.

Inexact and accelerated proximal point algorithms

Saverio Salzo, Silvia Villa, S. Villa, 2011 .

Nonparametric sparsity and regularization pdf

Lorenzo Rosasco, Alessandro Verri, Silvia Villa, 2012, J. Mach. Learn. Res..

Consistent learning by composite proximal thresholding

Patrick L. Combettes, Saverio Salzo, Silvia Villa, 2015, Mathematical Programming.

Learning with Incremental Iterative Regularization

Lorenzo Rosasco, Silvia Villa, L. Rosasco, 2014, NIPS.

On the Regularization of Sliding Modes

Silvia Villa, Laura Levaggi, 2007, SIAM J. Optim..

A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization

Ernesto De Vito, Silvia Villa, Veronica Umanità, 2011, J. Complex..

Proximal methods for the latent group lasso penalty

Lorenzo Rosasco, Alessandro Verri, Silvia Villa, 2012, Computational Optimization and Applications.

Solving Structured Sparsity Regularization with Proximal Methods

Lorenzo Rosasco, Alessandro Verri, Silvia Villa, 2010, ECML/PKDD.

Regularization by Early Stopping for Online Learning Algorithms pdf

Lorenzo Rosasco, Andrea Tacchetti, Silvia Villa, 2014, ArXiv.

Implicit regularization for convex regularizers pdf

Lorenzo Rosasco, Silvia Villa, Mathurin Massias, 2020, ArXiv.

Iterative Projection Methods for Structured Sparsity Regularization

Lorenzo Rosasco, Alessandro Verri, Silvia Villa, 2009 .

Iterative Regularization via Dual Diagonal Descent

Lorenzo Rosasco, Silvia Villa, Guillaume Garrigos, 2016, Journal of Mathematical Imaging and Vision.

Accelerated Iterative Regularization via Dual Diagonal Descent

Lorenzo Rosasco, Silvia Villa, Luca Calatroni, 2019, SIAM J. Optim..

Iterative regularization for convex regularizers

Lorenzo Rosasco, Silvia Villa, Mathurin Massias, 2021, AISTATS.

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization pdf

Lorenzo Rosasco, Luigi Carratino, Silvia Villa, 2021, ArXiv.

Zeroth-order optimization with orthogonal random directions

Lorenzo Rosasco, Luis Tenorio, Silvia Villa, 2021, Mathematical Programming.

Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization pdf

Saverio Salzo, Silvia Villa, Cheik Traor'e, 2022, ArXiv.

Convergence rates for the Heavy-Ball continuous dynamics for non-convex optimization, under Polyak-\L ojasiewicz condition

Silvia Villa, Vassilis Apidopoulos, Nicolo Ginatta, 2021 .

Consistency of Regularized Learning Schemes in Banach Spaces

Patrick L. Combettes, Saverio Salzo, Silvia Villa, 2014 .

Regularized Learning Schemes in Banach Spaces

Patrick L. Combettes, Saverio Salzo, Silvia Villa, 2014 .

Thresholding gradient methods in Hilbert spaces: support identification and linear convergence

Lorenzo Rosasco, Silvia Villa, Guillaume Garrigos, 2017 .

An extension of Mercer theorem to vector-valued measurable kernels

Silvia Villa, Ernesto De Vito, Veronica Umanita, 2011 .

A First-Order Stochastic Primal-Dual Algorithm with Correction Step

Lorenzo Rosasco, Silvia Villa, Bang Cong Vu, 2016, 1602.07872.

AW-Convergence and Well-Posedness of Non Convex Functions £

Silvia Villa, 2003 .

An extension of Mercer theorem to matrix-valued measurable kernels

Silvia Villa, Ernesto De Vito, Veronica Umanità, 2013 .

ST ] 1 D ec 2 01 5 Consistent Learning by Composite Proximal Thresholding ∗

Patrick L. Combettes, Saverio Salzo, Silvia Villa, 2018 .

Regularized Learning Schemes in Feature Banach Spaces

Patrick L. Combettes, Saverio Salzo, Silvia Villa, 2014 .

Is there sparsity beyond additive models

Lorenzo Rosasco, Alessandro Verri, Silvia Villa, 2012 .