Pubblicazioni
2023
Kostic V.R., Salzo S.
The method of randomized Bregman projections for stochastic feasibility problems
Numerical Algorithms, vol. 93, (no. 3), pp. 1269-1307
2022
Salzo S., Villa S.
Parallel random block-coordinate forward–backward algorithm: a unified convergence analysis
Mathematical Programming, Series B, vol. 193, (no. 1), pp. 225-269
2021
Salzo S., Villa S.
Proximal Gradient Methods for Machine Learning and Imaging
Harmonic and Applied Analysis. From Radon Transforms to Machine Learning, Publisher: Birkhäuser
2020
Salzo S., Suykens J.A.K.
Generalized support vector regression: Duality and tensor-kernel representation
Analysis and Applications, vol. 18, (no. 1), pp. 149-183
2020
Grazzi R., Franceschi L., Pontil M., Salzo S.
On the iteration complexity of hypergradient computation
37th International Conference on Machine Learning, ICML 2020, vol. PartF168147-5, pp. 3706-3716
Conference Paper
Conference
2020
Frecon J., Salzo S., Pontil M.
Unveiling groups of related tasks in multi-task learning
Proceedings - International Conference on Pattern Recognition, pp. 7134-7141
2018
Frecon J., Salzo S., Pontil M.
Bilevel learning of the group lasso structure
Advances in Neural Information Processing Systems, vol. 2018-December, pp. 8301-8311
Conference Paper
Conference
2018
Franceschi L., Frasconi P., Salzo S., Grazzi R., Pontil M.
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
35th International Conference on Machine Learning, ICML 2018, vol. 4, pp. 2537-2548
Conference Paper
Conference
2018
Franceschi L., Grazzi R., Pontil M., Salzo S., Frasconi P.
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning
International Workshop on Automatic Machine Learning
Conference Paper
Conference
2018
Tomasi F., Tozzo V., Verri A., Salzo S.
Forward-Backward Splitting for Time-Varying Graphical Models
Proceedings of the Ninth International Conference on Probabilistic Graphical Models, vol. PMLR, 72, pp. 475--486
Conference Paper
Conference
2018
Tomasi F., Salzo S., Tozzo V., Verri A.
Latent variable time-varying network inference
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2338-2346
2018
Combettes P.L., Salzo S., Villa S.
Regularized learning schemes in feature Banach spaces
Analysis and Applications, vol. 16, (no. 1), pp. 1-54
2018
Salzo S., Suykens J.A.K., Rosasco L.
Solving ℓp-norm regularization with tensor kernels
International Conference on Artificial Intelligence and Statistics, AISTATS 2018, pp. 1655-1663
Conference Paper
Conference
2015
Barla A., Salzo S., Verri A.
Regularized dictionary learning
Regularization, Optimization, Kernels, and Support Vector Machines, Publisher: CRC Press
Book Chapter
Book
2014
Salzo S., Masecchia S., Verri A., Barla A.
Alternating proximal regularized dictionary learning
Neural Computation, vol. 26, (no. 12), pp. 2855-2895