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Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at unige.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaVerified email at unige.it
Saverio SalzoAssistant Professor, Sapienza University of Rome, ItalyVerified email at diag.uniroma1.it
Matteo SantoroCamelot Biomedical Systems SrlVerified email at camelotbio.com
Bang Cong Vu3NLab, BeRC, Leuven, BelgiumVerified email at qplox.com
Cesare MolinariUniversità di GenovaVerified email at edu.unige.it
Guillaume GarrigosUniversité Paris CitéVerified email at lpsm.paris
Luca BaldassarreAI Governance Director, Swiss ReVerified email at swissre.com
Ernesto De VitoMaLGa Machine Learning Genoa Center - Università di GenovaVerified email at unige.it
Panagiotis PatrinosAssociate Professor, KU LeuvenVerified email at esat.kuleuven.be
Andreas ThemelisKyushu UniversityVerified email at m.kyushu-u.ac.jp
Fioravante PatroneASD Scuderia La BellariaVerified email at fioravante.patrone.name
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Curzio BassoCAMELOT Biomedical Systems SrlVerified email at camelotbio.com
Carlo CilibertoUniversity College LondonVerified email at ucl.ac.uk
Vito FragnelliProfessor of Game Theory, University of Eastern PiedmontVerified email at mfn.unipmn.it
Junhong LinVerified email at zju.edu.cn
Alberto BemporadProfessor of Control Systems, IMT Lucca, ItalyVerified email at imtlucca.it

silvia villa

MaLGa Machine Learning Genoa Center - Università degli Studi di Genova

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optimization convex analysis machine learning game theory


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Accelerated and inexact forward-backward algorithms S Villa, S Salzo, L Baldassarre, A Verri SIAM Journal on Optimization 23 (3), 1607-1633, 2013	237	2013
Solving structured sparsity regularization with proximal methods S Mosci, L Rosasco, M Santoro, A Verri, S Villa Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	228*	2010
Convergence of stochastic proximal gradient algorithm L Rosasco, S Villa, BC Vũ Applied Mathematics & Optimization 82, 891-917, 2020	169	2020
Inexact and accelerated proximal point algorithms S Salzo, S Villa Journal of Convex analysis 19 (4), 1167-1192, 2012	138	2012
Nonparametric sparsity and regularization LA Rosasco, S Villa, S Mosci, M Santoro, A Verri Association for Computing Machinery (ACM), 2013	107	2013
Learning with incremental iterative regularization L Rosasco, S Villa Advances in neural information processing systems 28, 2015	99	2015
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
Stochastic forward–backward splitting for monotone inclusions L Rosasco, S Villa, BC Vũ Journal of Optimization Theory and Applications 169, 388-406, 2016	58*	2016
Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry G Garrigos, L Rosasco, S Villa Mathematical Programming 198 (1), 937-996, 2023	55	2023
Proximal methods for the latent group lasso penalty S Villa, L Rosasco, S Mosci, A Verri Computational Optimization and Applications 58, 381-407, 2014	43	2014
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	41	2013
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
Iterative regularization via dual diagonal descent G Garrigos, L Rosasco, S Villa Journal of Mathematical Imaging and Vision 60, 189-215, 2018	35	2018
Convergence analysis of a proximal Gauss-Newton method S Salzo, S Villa Computational Optimization and Applications, 2011	35	2011
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
Regularized learning schemes in feature Banach spaces PL Combettes, S Salzo, S Villa Analysis and Applications 16 (01), 1-54, 2018	25*	2018
Don't relax: early stopping for convex regularization S Matet, L Rosasco, S Villa, BL Vu arXiv preprint arXiv:1707.05422, 2017	24	2017
Convergence rates for the heavy-ball continuous dynamics for non-convex optimization, under Polyak–Łojasiewicz condition V Apidopoulos, N Ginatta, S Villa Journal of Global Optimization 84 (3), 563-589, 2022	23	2022
Zeroth-order optimization with orthogonal random directions D Kozak, C Molinari, L Rosasco, L Tenorio, S Villa Mathematical Programming 199 (1), 1179-1219, 2023	20	2023
Parallel random block-coordinate forward–backward algorithm: a unified convergence analysis S Salzo, S Villa Mathematical Programming 193 (1), 225-269, 2022	20	2022

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