Pubblicazioni di Salzo Saverio

2023

Grazzi Riccardo, Pontil Massimiliano, Salzo Saverio

Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start. JOURNAL OF MACHINE LEARNING RESEARCH 2023: 1-37

Traoré Cheik, Salzo Saverio, Villa Silvia

Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2023: -

2022

Kostic ́ Vladimir R., Salzo Saverio, Pontil Massimiliano

Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity. Proceedings of the 39th International Conference on Machine Learning 2022: -

Frecon Jordan, Gasso Gilles, Pontil Massimiliano, Salzo Saverio

Bregman Neural Networks. Proceedings of the 39th International Conference on Machine Learning 2022: -

Salzo S, Villa S

Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis. MATHEMATICAL PROGRAMMING 2022: 225-269

Kostic Vr, Salzo S

The method of randomized Bregman projections for stochastic feasibility problems. NUMERICAL ALGORITHMS 2022: -

2021

Grazzi R, Pontil M, Salzo S

Convergence Properties of Stochastic Hypergradients. 2021: 3826-3834

Salzo S., Villa S.

Parallel random block-coordinate forward–backward algorithm: a unified convergence analysis. MATHEMATICAL PROGRAMMING 2021: 1-45

Salzo Saverio, Villa Silvia

Proximal Gradient Methods for Machine Learning and Imaging. Harmonic and Applied Analysis. From Radon Transforms to Machine Learning. 2021: 149-244

Frecon J, Salzo S, Pontil M

Unveiling Groups of Related Tasks in Multi-Task Learning. 2021: -

2020

Salzo S, Suykens Jak

Generalized support vector regression: Duality and tensor-kernel representation. ANALYSIS AND APPLICATIONS 2020: 149-183

Grazzi R, Franceschi L, Pontil M, Salzo S

On the Iteration Complexity of Hypergradient Computation. 2020: 3748-3758

2019

Luise G, Salzo S, Pontil M, Ciliberto C

Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. 2019: -

2018

Frecon J, Salzo S, Pontil M

Bilevel Learning of the Group Lasso Structure. 2018: -

Franceschi L, Frasconi P, Salzo S, Grazzi R, Pontil M

Bilevel Programming for Hyperparameter Optimization and Meta-Learning. 2018: 1568-1577

Combettes Patrick L., Salzo Saverio, Villa Silvia

Consistent learning by composite proximal thresholding. MATHEMATICAL PROGRAMMING 2018: 99-127

Tomasi F, Tozzo V, Verri A, Salzo S

Forward-Backward Splitting for Time-Varying Graphical Models. International Conference on Probabilistic Graphical Models 2018: 475-486

Tomasi Federico, Salzo Saverio, Tozzo Veronica, Verri Alessandro

Latent variable time-varying network inference. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2018: 2338-2346

Combettes Pl, Salzo S, Villa S

Regularized learning schemes in feature Banach spaces. ANALYSIS AND APPLICATIONS 2018: 1-54

Salzo S, Suykens Jak, Rosasco L

Solving l(p)-norm regularization with tensor kernels. International Conference on Artificial Intelligence and Statistics (AISTATS) 2018: -