| 3.25 Stochastic Forward-Backward Splitting S Villa Mathematical and Computational Foundations of Learning Theory, 70, 2014 | | 2014 |
| A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization E De Vito, V Umanità, S Villa Journal of Complexity 27 (2), 188-200, 2011 | 10 | 2011 |
| A fast algorithm for structured gene selection S Mosci, S Villa, A Verri, L Rosasco Machine Learning in Systems Biology, 39, 2010 | 1 | 2010 |
| A first-order stochastic primal-dual algorithm with correction step L Rosasco, S Villa, BC Vũ Numerical Functional Analysis and Optimization 38 (5), 602-626, 2017 | 18 | 2017 |
| A new algorithm to learn an optimal kernel based on Fenchel duality S Mosci, M Santoro, A Verri, S Villa, L Rosasco NIPS 2008 workshop: kernel learning: automatic selection of optimal kernels, 2008 | 3 | 2008 |
| A primal-dual algorithm for group sparse regularization with overlapping groups S Mosci, S Villa, A Verri, L Rosasco Advances in Neural Information Processing Systems 23, 2010 | 67 | 2010 |
| A regularization approach to nonlinear variable selection L Rosasco, M Santoro, S Mosci, A Verri, S Villa Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 35 | 2010 |
| A stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions L Rosasco, S Villa, BC Vũ Optimization 65 (6), 1293-1314, 2016 | 36 | 2016 |
| A variable metric stochastic aggregated gradient algorithm for convex optimization A Themelis, S Villa, P Patrinos, A Bemporad 28th European Conference on Operational Research, Date: 2016/07/01-2016/07 …, 2016 | | 2016 |
| Accelerated and inexact forward-backward algorithms S Villa, S Salzo, L Baldassarre, A Verri SIAM Journal on Optimization 23 (3), 1607-1633, 2013 | 231 | 2013 |
| Accelerated iterative regularization via dual diagonal descent L Calatroni, G Garrigos, L Rosasco, S Villa SIAM Journal on Optimization 31 (1), 754-784, 2021 | 18 | 2021 |
| Ada-bkb: Scalable gaussian process optimization on continuous domains by adaptive discretization M Rando, L Carratino, S Villa, L Rosasco International Conference on Artificial Intelligence and Statistics, 7320-7348, 2022 | 6 | 2022 |
| AdaBiM: An adaptive proximal gradient method for structured convex bilevel optimization P Latafat, A Themelis, S Villa, P Patrinos arXiv preprint arXiv:2305.03559, 2023 | 5 | 2023 |
| ADAPTIVE PROXIMAL GRADIENT METHODS FOR CONVEX BILEVEL OPTIMIZATION A Themelis, P Latafat, S Villa, P Patrinos | | 2023 |
| Air pollution as a novel contributor to the inflammatory activity of multiple sclerosis SM Villa, A Cortese, L Lova, P Comoli, S La Salvia, G Nosari, G Mallucci, ... MULTIPLE SCLEROSIS JOURNAL 22, 749-750, 2016 | | 2016 |
| Ambient air pollution boosts MS activity through upregulation of adhesion molecules and chemokine receptors on circulating lymphocytes A Cortese, L Lova, S Villa, S La Salvia, G Nosari, A Romani, D Franciotta, ... 31st Congress of the European Committee for treatment and research in …, 2015 | | 2015 |
| Ambient air pollution boosts multiple sclerosis activity through up-regulation of adhesion molecules and chemokine receptors on circulating lymphocytes A Cortese, L Lova, S Villa, S La Salvia, G Nosari, A Romani, D Franciotta, ... MULTIPLE SCLEROSIS JOURNAL 21, 462-462, 2015 | | 2015 |
| An extension of Mercer theorem to matrix-valued measurable kernels E De Vito, V Umanità, S Villa Applied and Computational Harmonic Analysis 34 (3), 339-351, 2013 | 39 | 2013 |
| An optimal structured zeroth-order algorithm for non-smooth optimization M Rando, C Molinari, L Rosasco, S Villa Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Approximability of sliding modes and regularization L Levaggi, S Villa International Workshop on Variable Structure Systems, 2006. VSS'06., 166-171, 2006 | 1 | 2006 |
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at unige.it
