Saverio Salzo | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
High Probability Bounds for Stochastic Subgradient Schemes with Heavy Tailed Noise	SIAM JOURNAL ON MATHEMATICS OF DATA SCIENCE	2024
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates	Proceedings of the 41st International Conference on Machine Learning	2024
Variance Reduction Techniques for Stochastic Proximal Point Algorithms	JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS	2024
Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization	COMPUTATIONAL OPTIMIZATION AND APPLICATIONS	2023
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start	JOURNAL OF MACHINE LEARNING RESEARCH	2023
Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis	MATHEMATICAL PROGRAMMING	2022
The method of randomized Bregman projections for stochastic feasibility problems	NUMERICAL ALGORITHMS	2022
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
Bregman Neural Networks	Proceedings of the 39th International Conference on Machine Learning	2022
Proximal Gradient Methods for Machine Learning and Imaging	Harmonic and Applied Analysis. From Radon Transforms to Machine Learning.	2021
Parallel random block-coordinate forward–backward algorithm: a unified convergence analysis	MATHEMATICAL PROGRAMMING	2021
Unveiling Groups of Related Tasks in Multi-Task Learning		2021
Convergence Properties of Stochastic Hypergradients		2021
Generalized support vector regression: Duality and tensor-kernel representation	ANALYSIS AND APPLICATIONS	2020
On the Iteration Complexity of Hypergradient Computation		2020
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm		2019
Latent variable time-varying network inference	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining	2018
Consistent learning by composite proximal thresholding	MATHEMATICAL PROGRAMMING	2018
Regularized learning schemes in feature Banach spaces	ANALYSIS AND APPLICATIONS	2018
Bilevel Learning of the Group Lasso Structure		2018