Silvia Villa

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 30

Top Topics

Convergence Analysis

Iterative Regularization

Multiple Kernel

Top Venues

Comput. Optim. Appl.

Publications

Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
Iterative regularization for low complexity regularizers. Numerische Mathematik 156 (2) (2024)
Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa
Variance reduction techniques for stochastic proximal point algorithms. CoRR (2023)
Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa
Snacks: a fast large-scale kernel SVM solver. CoRR (2023)
Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry. Math. Program. 198 (1) (2023)
David Kozak, Cesare Molinari, Lorenzo Rosasco, Luis Tenorio, Silvia Villa
Zeroth-order optimization with orthogonal random directions. Math. Program. 199 (1) (2023)
Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa
Snacks: a fast large-scale kernel SVM solver. ECC (2023)
Cheik Traoré, Saverio Salzo, Silvia Villa
Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization. Comput. Optim. Appl. 86 (1) (2023)
Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization. NeurIPS (2023)
Vassilis Apidopoulos, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
Regularization Properties of Dual Subgradient Flow. ECC (2023)
Cheik Traoré, Saverio Salzo, Silvia Villa
Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization. CoRR (2022)
Vassilis Apidopoulos, Nicolò Ginatta, Silvia Villa
Convergence rates for the heavy-ball continuous dynamics for non-convex optimization, under Polyak-Łojasiewicz condition. J. Glob. Optim. 84 (3) (2022)
Saverio Salzo, Silvia Villa
Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis. Math. Program. 193 (1) (2022)
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization. AISTATS (2022)
Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
Stochastic Zeroth order Descent with Structured Directions. CoRR (2022)
Vassilis Apidopoulos, Tomaso A. Poggio, Lorenzo Rosasco, Silvia Villa
Iterative regularization in classification via hinge loss diagonal descent. CoRR (2022)
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization. CoRR (2021)
Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
Iterative regularization for convex regularizers. AISTATS (2021)
Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM J. Optim. 31 (1) (2021)
Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
Implicit regularization for convex regularizers. CoRR (2020)
Patrick L. Combettes, Saverio Salzo, Silvia Villa
Consistent learning by composite proximal thresholding. Math. Program. 167 (1) (2018)
Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Iterative Regularization via Dual Diagonal Descent. J. Math. Imaging Vis. 60 (2) (2018)
Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability. EUSIPCO (2018)
Junhong Lin, Lorenzo Rosasco, Silvia Villa, Ding-Xuan Zhou
Modified Fejér sequences and applications. Comput. Optim. Appl. 71 (1) (2018)
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
Drug delivery nanovectors based on SPIONS for targeted therapy of hepatocellular carcinoma. NEMS (2017)
Simon Matet, Lorenzo Rosasco, Silvia Villa, Bang Long Vu
Don't relax: early stopping for convex regularization. CoRR (2017)
Lorenzo Rosasco, Silvia Villa, Bang Công Vu
Stochastic Forward-Backward Splitting for Monotone Inclusions. J. Optim. Theory Appl. 169 (2) (2016)
Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad
Stochastic gradient methods for stochastic model predictive control. ECC (2016)
Lorenzo Rosasco, Silvia Villa
Learning with Incremental Iterative Regularization. NIPS (2015)
Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
Learning Multiple Visual Tasks while Discovering their Structure. CoRR (2015)
Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
Learning multiple visual tasks while discovering their structure. CVPR (2015)
Silvia Villa, Lorenzo Rosasco, Sofia Mosci, Alessandro Verri
Proximal methods for the latent group lasso penalty. Comput. Optim. Appl. 58 (2) (2014)
Lorenzo Rosasco, Andrea Tacchetti, Silvia Villa
Regularization by Early Stopping for Online Learning Algorithms. CoRR (2014)
Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro, Alessandro Verri
Nonparametric sparsity and regularization. J. Mach. Learn. Res. 14 (1) (2013)
Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri
Accelerated and Inexact Forward-Backward Algorithms. SIAM J. Optim. 23 (3) (2013)
Silvia Villa, Lorenzo Rosasco, Tomaso A. Poggio
On Learnability, Complexity and Stability CoRR (2013)
Silvia Villa, Lorenzo Rosasco, Tomaso A. Poggio
On Learnability, Complexity and Stability. Empirical Inference (2013)
Silvia Villa, Lorenzo Rosasco, Sofia Mosci, Alessandro Verri
Proximal methods for the latent group lasso penalty CoRR (2012)
Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro, Alessandro Verri
Nonparametric sparsity and regularization CoRR (2012)
Saverio Salzo, Silvia Villa
Convergence analysis of a proximal Gauss-Newton method. Comput. Optim. Appl. 53 (2) (2012)
Curzio Basso, Matteo Santoro, Alessandro Verri, Silvia Villa
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning. ICANN (1) (2011)
Saverio Salzo, Silvia Villa
Convergence analysis of a proximal Gauss-Newton method CoRR (2011)
Ernesto De Vito, Veronica Umanità, Silvia Villa
A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization. J. Complex. 27 (2) (2011)
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Alessandro Verri, Silvia Villa
A Regularization Approach to Nonlinear Variable Selection. AISTATS (2010)
Sofia Mosci, Silvia Villa, Alessandro Verri, Lorenzo Rosasco
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups. NIPS (2010)
Curzio Basso, Matteo Santoro, Alessandro Verri, Silvia Villa
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning CoRR (2010)
Sofia Mosci, Lorenzo Rosasco, Matteo Santoro, Alessandro Verri, Silvia Villa
Solving Structured Sparsity Regularization with Proximal Methods. ECML/PKDD (2) (2010)
Laura Levaggi, Silvia Villa
On the Regularization of Sliding Modes. SIAM J. Optim. 18 (3) (2007)
Silvia Villa
Well-posedness of Nonconvex Integral Functionals. CDC/ECC (2005)
Silvia Villa
Well-posedness of Nonconvex Integral Functionals. SIAM J. Control. Optim. 43 (4) (2004)