Silvia Villa

According to our database, Silvia Villa authored at least 40 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Iterative regularization for low complexity regularizers.

Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa

Numerische Mathematik, April, 2024

2023

Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization.

Cheik Traoré, Saverio Salzo, Silvia Villa

Comput. Optim. Appl., September, 2023

Zeroth-order optimization with orthogonal random directions.

David Kozak, Cesare Molinari, Lorenzo Rosasco, Luis Tenorio, Silvia Villa

Math. Program., May, 2023

Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry.

Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa

Math. Program., March, 2023

Variance reduction techniques for stochastic proximal point algorithms.

Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa

CoRR, 2023

An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization.

Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Snacks: a fast large-scale kernel SVM solver.

Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa

Proceedings of the European Control Conference, 2023

Regularization Properties of Dual Subgradient Flow.

Vassilis Apidopoulos, Cesare Molinari, Lorenzo Rosasco, Silvia Villa

Proceedings of the European Control Conference, 2023

2022

Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis.

Saverio Salzo, Silvia Villa

Math. Program., 2022

Convergence rates for the heavy-ball continuous dynamics for non-convex optimization, under Polyak-Łojasiewicz condition.

Vassilis Apidopoulos, Nicolò Ginatta, Silvia Villa

J. Glob. Optim., 2022

Iterative regularization in classification via hinge loss diagonal descent.

Vassilis Apidopoulos, Tomaso A. Poggio, Lorenzo Rosasco, Silvia Villa

CoRR, 2022

Stochastic Zeroth order Descent with Structured Directions.

Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco

CoRR, 2022

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization.

Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Accelerated Iterative Regularization via Dual Diagonal Descent.

Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa

SIAM J. Optim., 2021

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

Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco

CoRR, 2021

Iterative regularization for convex regularizers.

Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Implicit regularization for convex regularizers.

Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa

CoRR, 2020

2018

Consistent learning by composite proximal thresholding.

Patrick L. Combettes, Saverio Salzo, Silvia Villa

Math. Program., 2018

Iterative Regularization via Dual Diagonal Descent.

Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa

J. Math. Imaging Vis., 2018

Modified Fejér sequences and applications.

Junhong Lin, Lorenzo Rosasco, Silvia Villa, Ding-Xuan Zhou

Comput. Optim. Appl., 2018

Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability.

Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Don't relax: early stopping for convex regularization.

Simon Matet, Lorenzo Rosasco, Silvia Villa, Bang Long Vu

CoRR, 2017

Drug delivery nanovectors based on SPIONS for targeted therapy of hepatocellular carcinoma.

Nicoletta Depalo, Marinella Striccoli, Maria Lucia Curri, Rosa Maria Iacobazzi, Ilaria Arduino, Valentino Laquintana, Annalisa Cutrignelli, Angela Lopedota, Massimo Franco, Nunzio Denora, Letizia Porcelli, Amalia Azzariti, Gianpiero Valente, Elisabetta Fanizza, Silvia Villa, Fabio Canepa

Proceedings of the 12th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2017

2016

Stochastic Forward-Backward Splitting for Monotone Inclusions.

Lorenzo Rosasco, Silvia Villa, Bang Công Vu

J. Optim. Theory Appl., 2016

Stochastic gradient methods for stochastic model predictive control.

Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad

Proceedings of the 15th European Control Conference, 2016

2015

Learning with Incremental Iterative Regularization.

Lorenzo Rosasco, Silvia Villa

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning multiple visual tasks while discovering their structure.

Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Regularization by Early Stopping for Online Learning Algorithms.

Lorenzo Rosasco, Andrea Tacchetti, Silvia Villa

CoRR, 2014

Proximal methods for the latent group lasso penalty.

Silvia Villa, Lorenzo Rosasco, Sofia Mosci, Alessandro Verri

Comput. Optim. Appl., 2014

2013

Accelerated and Inexact Forward-Backward Algorithms.

Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri

SIAM J. Optim., 2013

Nonparametric sparsity and regularization.

Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro, Alessandro Verri

J. Mach. Learn. Res., 2013

On Learnability, Complexity and Stability.

Silvia Villa, Lorenzo Rosasco, Tomaso A. Poggio

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012

Convergence analysis of a proximal Gauss-Newton method.

Saverio Salzo, Silvia Villa

Comput. Optim. Appl., 2012

2011

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

Ernesto De Vito, Veronica Umanità, Silvia Villa

J. Complex., 2011

PADDLE: Proximal Algorithm for Dual Dictionaries LEarning.

Curzio Basso, Matteo Santoro, Alessandro Verri, Silvia Villa

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

A Regularization Approach to Nonlinear Variable Selection.

Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Alessandro Verri, Silvia Villa

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Solving Structured Sparsity Regularization with Proximal Methods.

Sofia Mosci, Lorenzo Rosasco, Matteo Santoro, Alessandro Verri, Silvia Villa

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

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

Sofia Mosci, Silvia Villa, Alessandro Verri, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2007

On the Regularization of Sliding Modes.

Laura Levaggi, Silvia Villa

SIAM J. Optim., 2007

2004

Well-posedness of Nonconvex Integral Functionals.

Silvia Villa

SIAM J. Control. Optim., 2004