Saverio Salzo

43 papers A* 9A 2B 2C 1Journal 27Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
AdaGrad-Diff: A New Version of the Adaptive Gradient Algorithm.
CoRR
Matia Bojovic, Saverio Salzo, Massimiliano Pontil
2025 A* conf
A Bregman Proximal Viewpoint on Neural Operators.
ICML
Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo, Amaury Habrard, Massimiliano Pontil, Rémi Emonet, Marc Sebban
2025 J jnl
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization.
Trans. Mach. Learn. Res.
Sara Venturini, Marianna De Santis, Jordan Patracone, Martin Schmidt, Francesco Rinaldi, Saverio Salzo
2024 J jnl
High Probability Bounds for Stochastic Subgradient Schemes with Heavy Tailed Noise].
SIAM J. Math. Data Sci.
Daniela Angela Parletta, Andrea Paudice, Massimiliano Pontil, Saverio Salzo
2024 A* conf
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates.
ICML
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
2024 J jnl
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates.
CoRR
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
2024 J jnl
Variance Reduction Techniques for Stochastic Proximal Point Algorithms.
J. Optim. Theory Appl.
Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa
2023 J jnl
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start.
J. Mach. Learn. Res.
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
2023 J jnl
Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization.
Comput. Optim. Appl.
Cheik Traoré, Saverio Salzo, Silvia Villa
2023 J jnl
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization.
CoRR
Marianna De Santis, Jordan Frécon, Francesco Rinaldi, Saverio Salzo, Martin Schmidt
2023 J jnl
The method of randomized Bregman projections for stochastic feasibility problems.
Numer. Algorithms
Vladimir R. Kostic, Saverio Salzo
2023 J jnl
Variance reduction techniques for stochastic proximal point algorithms.
CoRR
Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa
2022 A* conf
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity.
ICML
Vladimir R. Kostic, Saverio Salzo, Massimiliano Pontil
2022 J jnl
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start.
CoRR
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
2022 A* conf
Bregman Neural Networks.
ICML
Jordan Frécon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo
2022 J jnl
Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization.
CoRR
Cheik Traoré, Saverio Salzo, Silvia Villa
2022 J jnl
Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis.
Math. Program.
Saverio Salzo, Silvia Villa
2021 A conf
Convergence Properties of Stochastic Hypergradients.
AISTATS
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
2021 J jnl
Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport.
CoRR
Vladimir Kostic, Saverio Salzo, Massimiliano Pontil
2020 J jnl
Convergence Properties of Stochastic Hypergradients.
CoRR
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
2020 J jnl
Efficient Tensor Kernel methods for sparse regression.
CoRR
Feliks Hibraj, Marcello Pelillo, Saverio Salzo, Massimiliano Pontil
2020 A* conf
On the Iteration Complexity of Hypergradient Computation.
ICML
Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo
2020 J jnl
On the Iteration Complexity of Hypergradient Computation.
CoRR
Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo
2020 B conf
Unveiling Groups of Related Tasks in Multi - Task Learning.
ICPR
Jordan Frécon, Saverio Salzo, Massimiliano Pontil
2019 A* conf
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm.
NeurIPS
Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto
2019 J jnl
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm.
CoRR
Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto
2018 A* conf
Bilevel Programming for Hyperparameter Optimization and Meta-Learning.
ICML
Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil
2018 J jnl
Bilevel Programming for Hyperparameter Optimization and Meta-Learning.
CoRR
Luca Franceschi, Paolo Frasconi, Saverio Salzo, Massimiliano Pontil
2018 A* conf
Bilevel learning of the Group Lasso structure.
NeurIPS
Jordan Frécon, Saverio Salzo, Massimiliano Pontil
2018 J jnl
Consistent learning by composite proximal thresholding.
Math. Program.
Patrick L. Combettes, Saverio Salzo, Silvia Villa
2018 J jnl
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning.
CoRR
Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi
2018 — conf
Forward-Backward Splitting for Time-Varying Graphical Models.
PGM
Federico Tomasi, Veronica Tozzo, Alessandro Verri, Saverio Salzo
2018 A* conf
Latent Variable Time-varying Network Inference.
KDD
Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri
2018 J jnl
Latent variable time-varying network inference.
CoRR
Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri
2018 A conf
Solving lp-norm regularization with tensor kernels.
AISTATS
Saverio Salzo, Lorenzo Rosasco, Johan A. K. Suykens
2017 J jnl
The Variable Metric Forward-Backward Splitting Algorithm Under Mild Differentiability Assumptions.
SIAM J. Optim.
Saverio Salzo
2014 J jnl
Alternating Proximal Regularized Dictionary Learning.
Neural Comput.
Saverio Salzo, Salvatore Masecchia, Alessandro Verri, Annalisa Barla
2013 B conf
A dictionary learning based method for aCGH segmentation.
ESANN
Salvatore Masecchia, Saverio Salzo, Annalisa Barla, Alessandro Verri
2013 J jnl
Accelerated and Inexact Forward-Backward Algorithms.
SIAM J. Optim.
Silvia Villa, Saverio Salzo, Luca Baldassarre, Alessandro Verri
2013 — conf
Dictionary learning improves subtyping of breast cancer aCGH data.
EMBC
Salvatore Masecchia, Annalisa Barla, Saverio Salzo, Alessandro Verri
2012 J jnl
Convergence analysis of a proximal Gauss-Newton method.
Comput. Optim. Appl.
Saverio Salzo, Silvia Villa
2011 J jnl
Convergence analysis of a proximal Gauss-Newton method
CoRR
Saverio Salzo, Silvia Villa
2004 C conf
Lossless hyperspectral compression using KLT.
IGARSS
Luca Galli, Saverio Salzo