| 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 | 809 | 2018 |
| Accelerated and Inexact Forward-Backward Algorithms S Villa, S Salzo, L Baldassarre, A Verri SIAM Journal on Optimization 23 (3), 1607-1633, 2013 | 235 | 2013 |
| On the iteration complexity of hypergradient computation R Grazzi, L Franceschi, M Pontil, S Salzo International Conference on Machine Learning, 3748-3758, 2020 | 188 | 2020 |
| Inexact and accelerated proximal point algorithms S Salzo, S Villa Journal of Convex analysis 19 (4), 1167-1192, 2012 | 133 | 2012 |
| 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 | 74 | 2019 |
| The variable metric forward-backward splitting algorithm under mild differentiability assumptions S Salzo SIAM Journal on Optimization 27 (4), 2153-2181, 2017 | 71 | 2017 |
| Lossless hyperspectral compression using KLT L Galli, S Salzo IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium 1, 2004 | 69 | 2004 |
| Bilevel learning of the group lasso structure J Frecon, S Salzo, M Pontil Advances in neural information processing systems 31, 2018 | 33 | 2018 |
| Convergence analysis of a proximal Gauss-Newton method S Salzo, S Villa Computational Optimization and Applications 53, 557-589, 2012 | 33 | 2012 |
| Convergence properties of stochastic hypergradients R Grazzi, M Pontil, S Salzo International Conference on Artificial Intelligence and Statistics, 3826-3834, 2021 | 27 | 2021 |
| 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 | 26 | 2018 |
| Regularized learning schemes in feature Banach spaces PL Combettes, S Salzo, S Villa Analysis and Applications 16 (01), 1-54, 2018 | 21 | 2018 |
| Parallel random block-coordinate forward–backward algorithm: a unified convergence analysis S Salzo, S Villa Mathematical Programming 193 (1), 225-269, 2022 | 20 | 2022 |
| Consistent learning by composite proximal thresholding PL Combettes, S Salzo, S Villa Mathematical Programming 167, 99-127, 2018 | 16 | 2018 |
| Bilevel optimization with a lower-level contraction: Optimal sample complexity without warm-start R Grazzi, M Pontil, S Salzo Journal of Machine Learning Research 24 (167), 1-37, 2023 | 12 | 2023 |
| Solving lp-norm regularization with tensor kernels S Salzo, JAK Suykens, L Rosasco Proceedings of the Twenty-First International Conference on Artificial …, 2018 | 10 | 2018 |
| Bregman neural networks J Frecon, G Gasso, M Pontil, S Salzo International Conference on Machine Learning, 6779-6792, 2022 | 9 | 2022 |
| Proximal gradient methods for machine learning and imaging S Salzo, S Villa Harmonic and applied analysis: from radon transforms to machine learning …, 2021 | 9 | 2021 |
| Generalized support vector regression: Duality and tensor-kernel representation S Salzo, JAK Suykens Analysis and Applications 18 (1), 149-183, 2020 | 8 | 2020 |
| High probability bounds for stochastic subgradient schemes with heavy tailed noise DA Parletta, A Paudice, M Pontil, S Salzo arXiv preprint arXiv:2208.08567, 2022 | 7 | 2022 |
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