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ORCIDSilvia Villa
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2020 – today
- 2024
[j18]Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa:
Iterative regularization for low complexity regularizers. Numerische Mathematik 156(2): 641-689 (2024)- 2023
- [j17]Cheik Traoré
, Saverio Salzo, Silvia Villa:
Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization. Comput. Optim. Appl. 86(1): 303-344 (2023) - [j16]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): 937-996 (2023) - [j15]David Kozak, Cesare Molinari, Lorenzo Rosasco, Luis Tenorio, Silvia Villa:
Zeroth-order optimization with orthogonal random directions. Math. Program. 199(1): 1179-1219 (2023) - [c16]Vassilis Apidopoulos, Cesare Molinari, Lorenzo Rosasco, Silvia Villa:
Regularization Properties of Dual Subgradient Flow. ECC 2023: 1-8 - [c15]Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa:
Snacks: a fast large-scale kernel SVM solver. ECC 2023: 1-6 - [c14]Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa:
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization. NeurIPS 2023 - [i15]Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa:
Snacks: a fast large-scale kernel SVM solver. CoRR abs/2304.07983 (2023) - [i14]Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa:
Variance reduction techniques for stochastic proximal point algorithms. CoRR abs/2308.09310 (2023) - 2022
- [j14]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): 563-589 (2022) - [j13]Saverio Salzo, Silvia Villa:
Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis. Math. Program. 193(1): 225-269 (2022) - [c13]Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco:
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization. AISTATS 2022: 7320-7348 - [i13]Cheik Traoré, Saverio Salzo, Silvia Villa:
Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization. CoRR abs/2201.05498 (2022) - [i12]Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco:
Stochastic Zeroth order Descent with Structured Directions. CoRR abs/2206.05124 (2022) - [i11]Vassilis Apidopoulos, Tomaso A. Poggio, Lorenzo Rosasco, Silvia Villa:
Iterative regularization in classification via hinge loss diagonal descent. CoRR abs/2212.12675 (2022) - 2021
- [j12]Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa:
Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM J. Optim. 31(1): 754-784 (2021) - [c12]Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa:
Iterative regularization for convex regularizers. AISTATS 2021: 1684-1692 - [i10]Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco:
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization. CoRR abs/2106.08598 (2021) - 2020
- [i9]Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa:
Implicit regularization for convex regularizers. CoRR abs/2006.09859 (2020)
2010 – 2019
- 2018
- [j11]Junhong Lin, Lorenzo Rosasco, Silvia Villa, Ding-Xuan Zhou:
Modified Fejér sequences and applications. Comput. Optim. Appl. 71(1): 95-113 (2018) - [j10]Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa:
Iterative Regularization via Dual Diagonal Descent. J. Math. Imaging Vis. 60(2): 189-215 (2018) - [j9]Patrick L. Combettes, Saverio Salzo, Silvia Villa:
Consistent learning by composite proximal thresholding. Math. Program. 167(1): 99-127 (2018) - [c11]Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa:
Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability. EUSIPCO 2018: 1077-1081 - 2017
- [c10]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: 570-573 - [i8]Simon Matet, Lorenzo Rosasco, Silvia Villa, Bang Long Vu:
Don't relax: early stopping for convex regularization. CoRR abs/1707.05422 (2017) - 2016
- [j8]Lorenzo Rosasco, Silvia Villa, Bang Công Vu:
Stochastic Forward-Backward Splitting for Monotone Inclusions. J. Optim. Theory Appl. 169(2): 388-406 (2016) - [c9]Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad:
Stochastic gradient methods for stochastic model predictive control. ECC 2016: 154-159 - 2015
- [c8]Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa:
Learning multiple visual tasks while discovering their structure. CVPR 2015: 131-139 - [c7]Lorenzo Rosasco, Silvia Villa:
Learning with Incremental Iterative Regularization. NIPS 2015: 1630-1638 - [i7]Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa:
Learning Multiple Visual Tasks while Discovering their Structure. CoRR abs/1504.03106 (2015) - 2014
- [j7]Silvia Villa, Lorenzo Rosasco, Sofia Mosci, Alessandro Verri:
Proximal methods for the latent group lasso penalty. Comput. Optim. Appl. 58(2): 381-407 (2014) - [i6]Lorenzo Rosasco, Andrea Tacchetti, Silvia Villa:
Regularization by Early Stopping for Online Learning Algorithms. CoRR abs/1405.0042 (2014) - 2013
- [j6]Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro, Alessandro Verri:
Nonparametric sparsity and regularization. J. Mach. Learn. Res. 14(1): 1665-1714 (2013) - [j5]Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri:
Accelerated and Inexact Forward-Backward Algorithms. SIAM J. Optim. 23(3): 1607-1633 (2013) - [c6]Silvia Villa, Lorenzo Rosasco, Tomaso A. Poggio:
On Learnability, Complexity and Stability. Empirical Inference 2013: 59-69 - [i5]Silvia Villa, Lorenzo Rosasco, Tomaso A. Poggio:
On Learnability, Complexity and Stability. CoRR abs/1303.5976 (2013) - 2012
- [j4]Saverio Salzo, Silvia Villa:
Convergence analysis of a proximal Gauss-Newton method. Comput. Optim. Appl. 53(2): 557-589 (2012) - [i4]Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro, Alessandro Verri:
Nonparametric sparsity and regularization. CoRR abs/1208.2572 (2012) - [i3]Silvia Villa, Lorenzo Rosasco, Sofia Mosci, Alessandro Verri:
Proximal methods for the latent group lasso penalty. CoRR abs/1209.0368 (2012) - 2011
- [j3]Ernesto De Vito, Veronica Umanità, Silvia Villa:
A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization. J. Complex. 27(2): 188-200 (2011) - [c5]Curzio Basso, Matteo Santoro, Alessandro Verri, Silvia Villa:
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning. ICANN (1) 2011: 379-386 - [i2]Saverio Salzo, Silvia Villa:
Convergence analysis of a proximal Gauss-Newton method. CoRR abs/1103.0414 (2011) - 2010
- [c4]Sofia Mosci, Silvia Villa, Alessandro Verri, Lorenzo Rosasco:
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups. NIPS 2010: 2604-2612 - [c3]Sofia Mosci, Lorenzo Rosasco, Matteo Santoro, Alessandro Verri, Silvia Villa:
Solving Structured Sparsity Regularization with Proximal Methods. ECML/PKDD (2) 2010: 418-433 - [c2]Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Alessandro Verri, Silvia Villa:
A Regularization Approach to Nonlinear Variable Selection. AISTATS 2010: 653-660 - [i1]Curzio Basso, Matteo Santoro, Alessandro Verri, Silvia Villa:
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning. CoRR abs/1011.3728 (2010)
2000 – 2009
- 2007
- [j2]Laura Levaggi, Silvia Villa:
On the Regularization of Sliding Modes. SIAM J. Optim. 18(3): 878-894 (2007) - 2005
- [c1]Silvia Villa:
Well-posedness of Nonconvex Integral Functionals. CDC/ECC 2005: 719-722 - 2004
- [j1]Silvia Villa:
Well-posedness of Nonconvex Integral Functionals. SIAM J. Control. Optim. 43(4): 1298-1312 (2004)
Coauthor Index
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