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Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaEmail verificata su unige.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaEmail verificata su unige.it
Saverio SalzoAssistant Professor, Sapienza University of Rome, ItalyEmail verificata su diag.uniroma1.it
Matteo SantoroCamelot Biomedical Systems SrlEmail verificata su camelotbio.com
Bang Cong Vu3NLab, BeRC, Leuven, BelgiumEmail verificata su qplox.com
Cesare MolinariUniversità di GenovaEmail verificata su edu.unige.it
Guillaume GarrigosUniversité Paris CitéEmail verificata su lpsm.paris
Luca BaldassarreAI Governance Director, Swiss ReEmail verificata su swissre.com
Ernesto De VitoMaLGa Machine Learning Genoa Center - Università di GenovaEmail verificata su unige.it
Panagiotis PatrinosAssociate Professor, KU LeuvenEmail verificata su esat.kuleuven.be
Andreas ThemelisKyushu UniversityEmail verificata su m.kyushu-u.ac.jp
Fioravante PatroneASD Scuderia La BellariaEmail verificata su fioravante.patrone.name
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITEmail verificata su ai.mit.edu
Curzio BassoCAMELOT Biomedical Systems SrlEmail verificata su camelotbio.com
Carlo CilibertoUniversity College LondonEmail verificata su ucl.ac.uk
Vito FragnelliProfessor of Game Theory, University of Eastern PiedmontEmail verificata su mfn.unipmn.it
Junhong LinEmail verificata su zju.edu.cn
Alberto BemporadProfessor of Control Systems, IMT Lucca, ItalyEmail verificata su imtlucca.it

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silvia villa

MaLGa Machine Learning Genoa Center - Università degli Studi di Genova

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optimization convex analysis machine learning game theory


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Accelerated and inexact forward-backward algorithms S Villa, S Salzo, L Baldassarre, A Verri SIAM Journal on Optimization 23 (3), 1607-1633, 2013	241	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	230*	2010
Convergence of stochastic proximal gradient algorithm L Rosasco, S Villa, BC Vũ Applied Mathematics & Optimization 82, 891-917, 2020	172	2020
Inexact and accelerated proximal point algorithms S Salzo, S Villa Journal of Convex analysis 19 (4), 1167-1192, 2012	139	2012
Nonparametric sparsity and regularization LA Rosasco, S Villa, S Mosci, M Santoro, A Verri Association for Computing Machinery (ACM), 2013	111	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	59*	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	56	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	44	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	42	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
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	36	2010
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
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	29	2022
Regularized learning schemes in feature Banach spaces PL Combettes, S Salzo, S Villa Analysis and Applications 16 (01), 1-54, 2018	25*	2018
Zeroth-order optimization with orthogonal random directions D Kozak, C Molinari, L Rosasco, L Tenorio, S Villa Mathematical Programming 199 (1), 1179-1219, 2023	24	2023
Don't relax: early stopping for convex regularization S Matet, L Rosasco, S Villa, BL Vu arXiv preprint arXiv:1707.05422, 2017	24	2017
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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