Accelerated and inexact forward-backward algorithms S Villa, S Salzo, L Baldassarre, A Verri SIAM Journal on Optimization 23 (3), 1607-1633, 2013 | 224 | 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 | 224* | 2010 |
Convergence of stochastic proximal gradient algorithm L Rosasco, S Villa, BC Vũ Applied Mathematics & Optimization 82, 891-917, 2020 | 166 | 2020 |
Inexact and accelerated proximal point algorithms S Salzo, S Villa Journal of Convex analysis 19 (4), 1167-1192, 2012 | 131 | 2012 |
Nonparametric sparsity and regularization LA Rosasco, S Villa, S Mosci, M Santoro, A Verri Association for Computing Machinery (ACM), 2013 | 101 | 2013 |
Learning with incremental iterative regularization L Rosasco, S Villa Advances in neural information processing systems 28, 2015 | 95 | 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 | 50 | 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 | 42 | 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 | 37 | 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 | 35 | 2010 |
Iterative regularization via dual diagonal descent G Garrigos, L Rosasco, S Villa Journal of Mathematical Imaging and Vision 60, 189-215, 2018 | 34 | 2018 |
Convergence analysis of a proximal Gauss-Newton method S Salzo, S Villa Computational Optimization and Applications, 2011 | 32 | 2011 |
Regularized learning schemes in feature Banach spaces PL Combettes, S Salzo, S Villa Analysis and Applications 16 (01), 1-54, 2018 | 24* | 2018 |
Don't relax: early stopping for convex regularization S Matet, L Rosasco, S Villa, BL Vu arXiv preprint arXiv:1707.05422, 2017 | 23 | 2017 |
Learning multiple visual tasks while discovering their structure C Ciliberto, L Rosasco, S Villa Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 20 | 2015 |
PADDLE: proximal algorithm for dual dictionaries learning C Basso, M Santoro, A Verri, S Villa Artificial Neural Networks and Machine Learning–ICANN 2011, 379-386, 2011 | 20 | 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 | 19 | 2022 |