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saverio.salzo@uniroma1.it
Saverio Salzo
Ricercatore
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
saverio.salzo@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
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
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
2018
Solving l(p)-norm regularization with tensor kernels
International Conference on Artificial Intelligence and Statistics (AISTATS)
2018
Forward-Backward Splitting for Time-Varying Graphical Models
International Conference on Probabilistic Graphical Models
2018
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