Silvia Villa - RankMe

58 papers A* 2A 3Journal 41Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Structured Tour of Optimization with Finite Differences. CoRR Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
2025	J	`jnl`	Analyse comparative d'algorithmes de restauration en architecture dépliée pour des signaux chromatographiques parcimonieux. CoRR Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval
2025	J	`jnl`	Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent. CoRR Christian Daniele, Silvia Villa, Samuel Vaiter, Luca Calatroni
2025	J	`jnl`	On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. J. Optim. Theory Appl. Puya Latafat, Andreas Themelis, Silvia Villa, Panagiotis Patrinos
2025	J	`jnl`	On the Sample Complexity of Learning for Blind Inverse Problems. CoRR Nathan Buskulic, Luca Calatroni, Lorenzo Rosasco, Silvia Villa
2024	J	`jnl`	Iterative regularization for low complexity regularizers. Numerische Mathematik Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
2024	J	`jnl`	Optimization Insights into Deep Diagonal Linear Networks. CoRR Hippolyte Labarrière, Cesare Molinari, Lorenzo Rosasco, Silvia Villa, Cristian Vega
2024	J	`jnl`	Stochastic zeroth order descent with structured directions. Comput. Optim. Appl. Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
2024	—	`conf`	Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry. MLSP Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval
2024	J	`jnl`	Variance Reduction Techniques for Stochastic Proximal Point Algorithms. J. Optim. Theory Appl. Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa
2023	A*	`conf`	An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization. NeurIPS Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
2023	J	`jnl`	Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization. Comput. Optim. Appl. Cheik Traoré, Saverio Salzo, Silvia Villa
2023	J	`jnl`	Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry. Math. Program. Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
2023	—	`conf`	Regularization Properties of Dual Subgradient Flow. ECC Vassilis Apidopoulos, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
2023	—	`conf`	Snacks: a fast large-scale kernel SVM solver. ECC Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa
2023	J	`jnl`	Snacks: a fast large-scale kernel SVM solver. CoRR Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa
2023	J	`jnl`	Variance reduction techniques for stochastic proximal point algorithms. CoRR Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa
2023	J	`jnl`	Zeroth-order optimization with orthogonal random directions. Math. Program. David Kozak, Cesare Molinari, Lorenzo Rosasco, Luis Tenorio, Silvia Villa
2022	A	`conf`	Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization. AISTATS Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
2022	J	`jnl`	Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization. CoRR Cheik Traoré, Saverio Salzo, Silvia Villa
2022	J	`jnl`	Convergence rates for the heavy-ball continuous dynamics for non-convex optimization, under Polyak-Łojasiewicz condition. J. Glob. Optim. Vassilis Apidopoulos, Nicolò Ginatta, Silvia Villa
2022	J	`jnl`	Iterative regularization in classification via hinge loss diagonal descent. CoRR Vassilis Apidopoulos, Tomaso A. Poggio, Lorenzo Rosasco, Silvia Villa
2022	J	`jnl`	Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis. Math. Program. Saverio Salzo, Silvia Villa
2022	J	`jnl`	Stochastic Zeroth order Descent with Structured Directions. CoRR Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
2021	J	`jnl`	Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM J. Optim. Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
2021	J	`jnl`	Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization. CoRR Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
2021	A	`conf`	Iterative regularization for convex regularizers. AISTATS Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
2020	J	`jnl`	Implicit regularization for convex regularizers. CoRR Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
2018	J	`jnl`	Consistent learning by composite proximal thresholding. Math. Program. Patrick L. Combettes, Saverio Salzo, Silvia Villa
2018	J	`jnl`	Iterative Regularization via Dual Diagonal Descent. J. Math. Imaging Vis. Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
2018	J	`jnl`	Modified Fejér sequences and applications. Comput. Optim. Appl. Junhong Lin, Lorenzo Rosasco, Silvia Villa, Ding-Xuan Zhou
2018	—	`conf`	Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability. EUSIPCO Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
2017	J	`jnl`	Don't relax: early stopping for convex regularization. CoRR Simon Matet, Lorenzo Rosasco, Silvia Villa, Bang Long Vu
2017	—	`conf`	Drug delivery nanovectors based on SPIONS for targeted therapy of hepatocellular carcinoma. NEMS 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
2016	J	`jnl`	Stochastic Forward-Backward Splitting for Monotone Inclusions. J. Optim. Theory Appl. Lorenzo Rosasco, Silvia Villa, Bang Công Vu
2016	—	`conf`	Stochastic gradient methods for stochastic model predictive control. ECC Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad
2015	J	`jnl`	Learning Multiple Visual Tasks while Discovering their Structure. CoRR Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
2015	A*	`conf`	Learning multiple visual tasks while discovering their structure. CVPR Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
2015	—	`conf`	Learning with Incremental Iterative Regularization. NIPS Lorenzo Rosasco, Silvia Villa
2014	J	`jnl`	Proximal methods for the latent group lasso penalty. Comput. Optim. Appl. Silvia Villa, Lorenzo Rosasco, Sofia Mosci, Alessandro Verri
2014	J	`jnl`	Regularization by Early Stopping for Online Learning Algorithms. CoRR Lorenzo Rosasco, Andrea Tacchetti, Silvia Villa
2013	J	`jnl`	Accelerated and Inexact Forward-Backward Algorithms. SIAM J. Optim. Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri
2013	J	`jnl`	Nonparametric sparsity and regularization. J. Mach. Learn. Res. Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro, Alessandro Verri
2013	J	`jnl`	On Learnability, Complexity and Stability CoRR Silvia Villa, Lorenzo Rosasco, Tomaso A. Poggio
2013	—	`conf`	On Learnability, Complexity and Stability. Empirical Inference Silvia Villa, Lorenzo Rosasco, Tomaso A. Poggio
2012	J	`jnl`	Convergence analysis of a proximal Gauss-Newton method. Comput. Optim. Appl. Saverio Salzo, Silvia Villa
2012	J	`jnl`	Nonparametric sparsity and regularization CoRR Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro, Alessandro Verri
2012	J	`jnl`	Proximal methods for the latent group lasso penalty CoRR Silvia Villa, Lorenzo Rosasco, Sofia Mosci, Alessandro Verri
2011	J	`jnl`	A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization. J. Complex. Ernesto De Vito, Veronica Umanità, Silvia Villa
2011	J	`jnl`	Convergence analysis of a proximal Gauss-Newton method CoRR Saverio Salzo, Silvia Villa
2011	—	`conf`	PADDLE: Proximal Algorithm for Dual Dictionaries LEarning. ICANN (1) Curzio Basso, Matteo Santoro, Alessandro Verri, Silvia Villa
2010	—	`conf`	A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups. NIPS Sofia Mosci, Silvia Villa, Alessandro Verri, Lorenzo Rosasco
2010	A	`conf`	A Regularization Approach to Nonlinear Variable Selection. AISTATS Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Alessandro Verri, Silvia Villa
2010	J	`jnl`	PADDLE: Proximal Algorithm for Dual Dictionaries LEarning CoRR Curzio Basso, Matteo Santoro, Alessandro Verri, Silvia Villa
2010	—	`conf`	Solving Structured Sparsity Regularization with Proximal Methods. ECML/PKDD (2) Sofia Mosci, Lorenzo Rosasco, Matteo Santoro, Alessandro Verri, Silvia Villa
2007	J	`jnl`	On the Regularization of Sliding Modes. SIAM J. Optim. Laura Levaggi, Silvia Villa
2005	—	`conf`	Well-posedness of Nonconvex Integral Functionals. CDC/ECC Silvia Villa
2004	J	`jnl`	Well-posedness of Nonconvex Integral Functionals. SIAM J. Control. Optim. Silvia Villa