Saverio Salzo

According to our database, Saverio Salzo authored at least 30 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates.

Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo

CoRR, 2024

2023

Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization.

Cheik Traoré, Saverio Salzo, Silvia Villa

Comput. Optim. Appl., September, 2023

The method of randomized Bregman projections for stochastic feasibility problems.

Vladimir R. Kostic, Saverio Salzo

Numer. Algorithms, July, 2023

Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start.

Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo

J. Mach. Learn. Res., 2023

Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization.

Marianna De Santis, Jordan Frécon, Francesco Rinaldi, Saverio Salzo, Martin Schmidt

CoRR, 2023

Variance reduction techniques for stochastic proximal point algorithms.

Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa

CoRR, 2023

2022

Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis.

Saverio Salzo, Silvia Villa

Math. Program., 2022

Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity.

Vladimir R. Kostic, Saverio Salzo, Massimiliano Pontil

Proceedings of the International Conference on Machine Learning, 2022

Bregman Neural Networks.

Jordan Frécon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo

Proceedings of the International Conference on Machine Learning, 2022

2021

Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport.

Vladimir Kostic, Saverio Salzo, Massimiliano Pontil

CoRR, 2021

Convergence Properties of Stochastic Hypergradients.

Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Efficient Tensor Kernel methods for sparse regression.

Feliks Hibraj, Marcello Pelillo, Saverio Salzo, Massimiliano Pontil

CoRR, 2020

Unveiling Groups of Related Tasks in Multi - Task Learning.

Jordan Frécon, Saverio Salzo, Massimiliano Pontil

Proceedings of the 25th International Conference on Pattern Recognition, 2020

On the Iteration Complexity of Hypergradient Computation.

Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm.

Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Consistent learning by composite proximal thresholding.

Patrick L. Combettes, Saverio Salzo, Silvia Villa

Math. Program., 2018

Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning.

Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi

CoRR, 2018

Bilevel Programming for Hyperparameter Optimization and Meta-Learning.

Luca Franceschi, Paolo Frasconi, Saverio Salzo, Massimiliano Pontil

CoRR, 2018

Forward-Backward Splitting for Time-Varying Graphical Models.

Federico Tomasi, Veronica Tozzo, Alessandro Verri, Saverio Salzo

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Bilevel learning of the Group Lasso structure.

Jordan Frécon, Saverio Salzo, Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Latent Variable Time-varying Network Inference.

Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Bilevel Programming for Hyperparameter Optimization and Meta-Learning.

Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil

Proceedings of the 35th International Conference on Machine Learning, 2018

Solving lp-norm regularization with tensor kernels.

Saverio Salzo, Lorenzo Rosasco, Johan A. K. Suykens

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

The Variable Metric Forward-Backward Splitting Algorithm Under Mild Differentiability Assumptions.

Saverio Salzo

SIAM J. Optim., 2017

2014

Alternating Proximal Regularized Dictionary Learning.

Saverio Salzo, Salvatore Masecchia, Alessandro Verri, Annalisa Barla

Neural Comput., 2014

2013

Accelerated and Inexact Forward-Backward Algorithms.

Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri

SIAM J. Optim., 2013

A dictionary learning based method for aCGH segmentation.

Salvatore Masecchia, Saverio Salzo, Annalisa Barla, Alessandro Verri

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Dictionary learning improves subtyping of breast cancer aCGH data.

Salvatore Masecchia, Annalisa Barla, Saverio Salzo, Alessandro Verri

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Convergence analysis of a proximal Gauss-Newton method.

Saverio Salzo, Silvia Villa

Comput. Optim. Appl., 2012

2004

Lossless hyperspectral compression using KLT.

Luca Galli, Saverio Salzo

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004