Saverio Salzo

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 30

Top Topics

Convergence Analysis

Bilevel Programming

Norm Regularization

Top Venues

Publications

Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates. CoRR (2024)
Vladimir R. Kostic, Saverio Salzo
The method of randomized Bregman projections for stochastic feasibility problems. Numer. Algorithms 93 (3) (2023)
Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa
Variance reduction techniques for stochastic proximal point algorithms. CoRR (2023)
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start. J. Mach. Learn. Res. 24 (2023)
Cheik Traoré, Saverio Salzo, Silvia Villa
Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization. Comput. Optim. Appl. 86 (1) (2023)
Marianna De Santis, Jordan Frécon, Francesco Rinaldi, Saverio Salzo, Martin Schmidt
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization. CoRR (2023)
Cheik Traoré, Saverio Salzo, Silvia Villa
Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization. CoRR (2022)
Jordan Frécon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo
Bregman Neural Networks. ICML (2022)
Saverio Salzo, Silvia Villa
Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis. Math. Program. 193 (1) (2022)
Vladimir R. Kostic, Saverio Salzo, Massimiliano Pontil
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity. ICML (2022)
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start. CoRR (2022)
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Convergence Properties of Stochastic Hypergradients. AISTATS (2021)
Vladimir Kostic, Saverio Salzo, Massimiliano Pontil
Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport. CoRR (2021)
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Convergence Properties of Stochastic Hypergradients. CoRR (2020)
Jordan Frécon, Saverio Salzo, Massimiliano Pontil
Unveiling Groups of Related Tasks in Multi - Task Learning. ICPR (2020)
Feliks Hibraj, Marcello Pelillo, Saverio Salzo, Massimiliano Pontil
Efficient Tensor Kernel methods for sparse regression. CoRR (2020)
Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo
On the Iteration Complexity of Hypergradient Computation. CoRR (2020)
Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo
On the Iteration Complexity of Hypergradient Computation. ICML (2020)
Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. NeurIPS (2019)
Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. CoRR (2019)
Saverio Salzo, Lorenzo Rosasco, Johan A. K. Suykens
Solving lp-norm regularization with tensor kernels. AISTATS (2018)
Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri
Latent Variable Time-varying Network Inference. KDD (2018)
Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri
Latent variable time-varying network inference. CoRR (2018)
Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. ICML (2018)
Patrick L. Combettes, Saverio Salzo, Silvia Villa
Consistent learning by composite proximal thresholding. Math. Program. 167 (1) (2018)
Luca Franceschi, Paolo Frasconi, Saverio Salzo, Massimiliano Pontil
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. CoRR (2018)
Jordan Frécon, Saverio Salzo, Massimiliano Pontil
Bilevel learning of the Group Lasso structure. NeurIPS (2018)
Federico Tomasi, Veronica Tozzo, Alessandro Verri, Saverio Salzo
Forward-Backward Splitting for Time-Varying Graphical Models. PGM (2018)
Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. CoRR (2018)
Saverio Salzo
The Variable Metric Forward-Backward Splitting Algorithm Under Mild Differentiability Assumptions. SIAM J. Optim. 27 (4) (2017)
Saverio Salzo, Salvatore Masecchia, Alessandro Verri, Annalisa Barla
Alternating Proximal Regularized Dictionary Learning. Neural Comput. 26 (12) (2014)
Salvatore Masecchia, Saverio Salzo, Annalisa Barla, Alessandro Verri
A dictionary learning based method for aCGH segmentation. ESANN (2013)
Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri
Accelerated and Inexact Forward-Backward Algorithms. SIAM J. Optim. 23 (3) (2013)
Salvatore Masecchia, Annalisa Barla, Saverio Salzo, Alessandro Verri
Dictionary learning improves subtyping of breast cancer aCGH data. EMBC (2013)
Saverio Salzo, Silvia Villa
Convergence analysis of a proximal Gauss-Newton method. Comput. Optim. Appl. 53 (2) (2012)
Saverio Salzo, Silvia Villa
Convergence analysis of a proximal Gauss-Newton method CoRR (2011)
Luca Galli, Saverio Salzo
Lossless hyperspectral compression using KLT. IGARSS (2004)