| Bilevel Programming for Hyperparameter Optimization and Meta-Learning L Franceschi, P Frasconi, S Salzo, M Pontil Proceedings of Machine Learning Research: International Conference on …, 2018 | 216 | 2018 |
| Accelerated and Inexact Forward-Backward Algorithms S Villa, S Salzo, L Baldassarre, A Verri SIAM Journal on Optimization 23 (3), 1607-1633, 2013 | 156 | 2013 |
| Inexact and accelerated proximal point algorithms S Salzo, S Villa Journal of Convex analysis 19 (4), 1167-1192, 2012 | 78 | 2012 |
| Lossless hyperspectral compression using KLT L Galli, S Salzo IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium 1, 2004 | 66 | 2004 |
| The variable metric forward-backward splitting algorithm under mild differentiability assumptions S Salzo SIAM Journal on Optimization 27 (4), 2153-2181, 2017 | 37 | 2017 |
| Sinkhorn barycenters with free support via Frank-Wolfe algorithm G Luise, S Salzo, M Pontil, C Ciliberto Advances in Neural Information Processing Systems, 9322-9333, 2019 | 31 | 2019 |
| Convergence analysis of a proximal Gauss-Newton method S Salzo, S Villa Computational Optimization and Applications 53 (2), 557-589, 2012 | 28 | 2012 |
| Bilevel learning of the group lasso structure J Frecon, S Salzo, M Pontil Advances in neural information processing systems 31, 8301-8311, 2018 | 18 | 2018 |
| On the iteration complexity of hypergradient computation R Grazzi, L Franceschi, M Pontil, S Salzo International Conference on Machine Learning, 3748-3758, 2020 | 13 | 2020 |
| Regularized learning schemes in feature Banach spaces PL Combettes, S Salzo, S Villa Analysis and Applications 16 (01), 1-54, 2018 | 12 | 2018 |
| Consistent learning by composite proximal thresholding PL Combettes, S Salzo, S Villa Mathematical Programming 167 (1), 99-127, 2018 | 12 | 2018 |
| Latent variable time-varying network inference F Tomasi, V Tozzo, S Salzo, A Verri KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on …, 2018 | 10 | 2018 |
| Generalized support vector regression: Duality and tensor-kernel representation S Salzo, JAK Suykens Analysis and Applications 18 (1), 149-183, 2020 | 7 | 2020 |
| Solving lp-norm regularization with tensor kernels S Salzo, JAK Suykens, L Rosasco Proceedings of the Twenty-First International Conference on Artificial …, 2018 | 7 | 2018 |
| Dictionary learning improves subtyping of breast cancer aCGH data S Masecchia, A Barla, S Salzo, A Verri 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 5 | 2013 |
| Alternating proximal regularized dictionary learning S Salzo, S Masecchia, A Verri, A Barla Neural computation 26 (12), 2855-2895, 2014 | 4 | 2014 |
| Consistency of regularized learning schemes in Banach spaces PL Combettes, S Salzo, S Villa arXiv preprint arXiv:1410.6847, 2014 | 4 | 2014 |
| A dictionary learning based method for aCGH segmentation. S Masecchia, S Salzo, A Barla, A Verri ESANN, 2013 | 4 | 2013 |
| Convergence properties of stochastic hypergradients R Grazzi, M Pontil, S Salzo International Conference on Artificial Intelligence and Statistics, 3826-3834, 2021 | 3 | 2021 |
| Parallel random block-coordinate forward–backward algorithm: a unified convergence analysis S Salzo, S Villa Mathematical Programming, 1-45, 2021 | 2 | 2021 |
silvia villaMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at dima.unige.it
