Well-posedness of Nonconvex Integral Functionals. - Silvia Villa (SIAM J. Control. Optim., 2004)

On the Regularization of Sliding Modes. - Laura Levaggi; Silvia Villa (SIAM J. Optim., 2007)

A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups. - Sofia Mosci; Silvia Villa; Alessandro Verri; Lorenzo Rosasco (NIPS, 2010)

Solving Structured Sparsity Regularization with Proximal Methods. - Sofia Mosci; Lorenzo Rosasco; Matteo Santoro; Alessandro Verri; Silvia Villa (ECML/PKDD (2), 2010)

A Regularization Approach to Nonlinear Variable Selection. - Lorenzo Rosasco; Matteo Santoro; Sofia Mosci; Alessandro Verri; Silvia Villa (AISTATS, 2010)

PADDLE: Proximal Algorithm for Dual Dictionaries LEarning. - Curzio Basso; Matteo Santoro; Alessandro Verri; Silvia Villa (ICANN (1), 2011)

A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization. - Ernesto De Vito; Veronica Umanità; Silvia Villa (J. Complex., 2011)

Convergence analysis of a proximal Gauss-Newton method. - Saverio Salzo; Silvia Villa (Comput. Optim. Appl., 2012)

On Learnability, Complexity and Stability. - Silvia Villa; Lorenzo Rosasco; Tomaso A. Poggio (Empirical Inference, 2013)

Nonparametric sparsity and regularization. - Lorenzo Rosasco; Silvia Villa; Sofia Mosci; Matteo Santoro; Alessandro Verri (J. Mach. Learn. Res., 2013)

Accelerated and Inexact Forward-Backward Algorithms. - Silvia Villa; Saverio Salzo; Luca Baldassarre; Alessandro Verri (SIAM J. Optim., 2013)

Proximal methods for the latent group lasso penalty. - Silvia Villa; Lorenzo Rosasco; Sofia Mosci; Alessandro Verri (Comput. Optim. Appl., 2014)

Regularization by Early Stopping for Online Learning Algorithms. - Lorenzo Rosasco; Andrea Tacchetti; Silvia Villa (CoRR, 2014)

Learning multiple visual tasks while discovering their structure. - Carlo Ciliberto; Lorenzo Rosasco; Silvia Villa (CVPR, 2015)

Learning with Incremental Iterative Regularization. - Lorenzo Rosasco; Silvia Villa (NIPS, 2015)

Stochastic gradient methods for stochastic model predictive control. - Andreas Themelis; Silvia Villa; Panagiotis Patrinos; Alberto Bemporad (ECC, 2016)

Stochastic Forward-Backward Splitting for Monotone Inclusions. - Lorenzo Rosasco; Silvia Villa; Bang Công Vu (J. Optim. Theory Appl., 2016)

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; et al. (NEMS, 2017)

Don't relax: early stopping for convex regularization. - Simon Matet; Lorenzo Rosasco; Silvia Villa; Bang Long Vu (CoRR, 2017)

Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability. - Guillaume Garrigos; Lorenzo Rosasco; Silvia Villa (EUSIPCO, 2018)

Modified Fejér sequences and applications. - Junhong Lin; Lorenzo Rosasco; Silvia Villa; Ding-Xuan Zhou (Comput. Optim. Appl., 2018)

Iterative Regularization via Dual Diagonal Descent. - Guillaume Garrigos; Lorenzo Rosasco; Silvia Villa (J. Math. Imaging Vis., 2018)

Consistent learning by composite proximal thresholding. - Patrick L. Combettes; Saverio Salzo; Silvia Villa (Math. Program., 2018)

Implicit regularization for convex regularizers. - Cesare Molinari; Mathurin Massias; Lorenzo Rosasco; Silvia Villa (CoRR, 2020)

Iterative regularization for convex regularizers. - Cesare Molinari; Mathurin Massias; Lorenzo Rosasco; Silvia Villa (AISTATS, 2021)

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization. - Marco Rando; Luigi Carratino; Silvia Villa; Lorenzo Rosasco (CoRR, 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 Domains by Adaptive Discretization. - Marco Rando; Luigi Carratino; Silvia Villa; Lorenzo Rosasco (AISTATS, 2022)

Iterative regularization in classification via hinge loss diagonal descent. - Vassilis Apidopoulos; Tomaso A. Poggio; Lorenzo Rosasco; Silvia Villa (CoRR, 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)

Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis. - Saverio Salzo; Silvia Villa (Math. Program., 2022)

Regularization Properties of Dual Subgradient Flow. - Vassilis Apidopoulos; Cesare Molinari; Lorenzo Rosasco; Silvia Villa (ECC, 2023)

Snacks: a fast large-scale kernel SVM solver. - Sofiane Tanji; Andrea Della Vecchia; François Glineur; Silvia Villa (ECC, 2023)

An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization. - Marco Rando; Cesare Molinari; Lorenzo Rosasco; Silvia Villa (NeurIPS, 2023)

Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry. - Guillaume Garrigos; Lorenzo Rosasco; Silvia Villa (Math. Program., 2023)

Zeroth-order optimization with orthogonal random directions. - David Kozak; Cesare Molinari; Lorenzo Rosasco; Luis Tenorio; Silvia Villa (Math. Program., 2023)

Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization. - Cheik Traoré; Saverio Salzo; Silvia Villa (Comput. Optim. Appl., 2023)

Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry. - Mouna Gharbi; Silvia Villa; Emilie Chouzenoux; Jean-Christophe Pesquet; Laurent Duval (MLSP, 2024)

Optimization Insights into Deep Diagonal Linear Networks. - Hippolyte Labarrière; Cesare Molinari; Lorenzo Rosasco; Silvia Villa; Cristian Vega (CoRR, 2024)

Iterative regularization for low complexity regularizers. - Cesare Molinari; Mathurin Massias; Lorenzo Rosasco; Silvia Villa (Numerische Mathematik, 2024)

Variance Reduction Techniques for Stochastic Proximal Point Algorithms. - Cheik Traoré; Vassilis Apidopoulos; Saverio Salzo; Silvia Villa (J. Optim. Theory Appl., 2024)

Stochastic zeroth order descent with structured directions. - Marco Rando; Cesare Molinari; Silvia Villa; Lorenzo Rosasco (Comput. Optim. Appl., 2024)

On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. - Puya Latafat; Andreas Themelis; Silvia Villa; Panagiotis Patrinos (J. Optim. Theory Appl., 2025)

A Structured Tour of Optimization with Finite Differences. - Marco Rando; Cesare Molinari; Lorenzo Rosasco; Silvia Villa (CoRR, 2025)

Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent. - Christian Daniele; Silvia Villa; Samuel Vaiter; Luca Calatroni (CoRR, 2025)