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Saverio Salzo
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2020 – today
- 2024
- [j11]Cheik Traoré
, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa:
Variance Reduction Techniques for Stochastic Proximal Point Algorithms. J. Optim. Theory Appl. 203(2): 1910-1939 (2024) - [j10]Daniela Angela Parletta, Andrea Paudice
High Probability Bounds for Stochastic Subgradient Schemes with Heavy Tailed Noise]. SIAM J. Math. Data Sci. 6(4): 953-977 (2024) - [c15]Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo:
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates. ICML 2024 - [i14]Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo:
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates. CoRR abs/2403.11687 (2024) - 2023
- [j9]Cheik Traoré
Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization. Comput. Optim. Appl. 86(1): 303-344 (2023) - [j8]Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo:
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start. J. Mach. Learn. Res. 24: 167:1-167:37 (2023) - [j7]Vladimir R. Kostic
The method of randomized Bregman projections for stochastic feasibility problems. Numer. Algorithms 93(3): 1269-1307 (2023) - [i13]Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa
Variance reduction techniques for stochastic proximal point algorithms. CoRR abs/2308.09310 (2023) - [i12]Marianna De Santis, Jordan Frécon, Francesco Rinaldi, Saverio Salzo, Martin Schmidt:
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization. CoRR abs/2308.10711 (2023) - 2022
- [j6]Saverio Salzo
Parallel random block-coordinate forward-backward algorithm: a unified convergence analysis. Math. Program. 193(1): 225-269 (2022) - [c14]Jordan Frécon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo:
Bregman Neural Networks. ICML 2022: 6779-6792 - [c13]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: 11529-11558 - [i11]Cheik Traoré, Saverio Salzo, Silvia Villa:
Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization. CoRR abs/2201.05498 (2022) - [i10]Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo:
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start. CoRR abs/2202.03397 (2022) - 2021
- [c12]Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo:
Convergence Properties of Stochastic Hypergradients. AISTATS 2021: 3826-3834 - [i9]Vladimir Kostic, Saverio Salzo, Massimiliano Pontil:
Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport. CoRR abs/2112.00838 (2021) - 2020
- [c11]Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo:
On the Iteration Complexity of Hypergradient Computation. ICML 2020: 3748-3758 - [c10]Jordan Frécon, Saverio Salzo, Massimiliano Pontil:
Unveiling Groups of Related Tasks in Multi - Task Learning. ICPR 2020: 7134-7141 - [i8]Feliks Hibraj, Marcello Pelillo, Saverio Salzo, Massimiliano Pontil:
Efficient Tensor Kernel methods for sparse regression. CoRR abs/2003.10482 (2020) - [i7]Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo:
On the Iteration Complexity of Hypergradient Computation. CoRR abs/2006.16218 (2020) - [i6]Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Convergence Properties of Stochastic Hypergradients. CoRR abs/2011.07122 (2020)
2010 – 2019
- 2019
- [c9]Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto:
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. NeurIPS 2019: 9318-9329 - [i5]Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto:
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. CoRR abs/1905.13194 (2019) - 2018
- [j5]Patrick L. Combettes
Consistent learning by composite proximal thresholding. Math. Program. 167(1): 99-127 (2018) - [c8]Saverio Salzo, Lorenzo Rosasco, Johan A. K. Suykens:
Solving lp-norm regularization with tensor kernels. AISTATS 2018: 1655-1663 - [c7]Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil:
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. ICML 2018: 1563-1572 - [c6]Federico Tomasi, Veronica Tozzo, Saverio Salzo
Latent Variable Time-varying Network Inference. KDD 2018: 2338-2346 - [c5]Jordan Frécon, Saverio Salzo, Massimiliano Pontil:
Bilevel learning of the Group Lasso structure. NeurIPS 2018: 8311-8321 - [c4]Federico Tomasi, Veronica Tozzo, Alessandro Verri, Saverio Salzo:
Forward-Backward Splitting for Time-Varying Graphical Models. PGM 2018: 475-486 - [i4]Federico Tomasi, Veronica Tozzo, Saverio Salzo, Alessandro Verri:
Latent variable time-varying network inference. CoRR abs/1802.03987 (2018) - [i3]Luca Franceschi, Paolo Frasconi, Saverio Salzo, Massimiliano Pontil:
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. CoRR abs/1806.04910 (2018) - [i2]Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi:
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. CoRR abs/1806.04941 (2018) - 2017
- [j4]Saverio Salzo
The Variable Metric Forward-Backward Splitting Algorithm Under Mild Differentiability Assumptions. SIAM J. Optim. 27(4): 2153-2181 (2017) - 2014
- [j3]Saverio Salzo
Alternating Proximal Regularized Dictionary Learning. Neural Comput. 26(12): 2855-2895 (2014) - 2013
- [j2]Silvia Villa
Accelerated and Inexact Forward-Backward Algorithms. SIAM J. Optim. 23(3): 1607-1633 (2013) - [c3]Salvatore Masecchia, Annalisa Barla
Dictionary learning improves subtyping of breast cancer aCGH data. EMBC 2013: 604-607 - [c2]Salvatore Masecchia, Saverio Salzo, Annalisa Barla, Alessandro Verri:
A dictionary learning based method for aCGH segmentation. ESANN 2013 - 2012
- [j1]Saverio Salzo
Convergence analysis of a proximal Gauss-Newton method. Comput. Optim. Appl. 53(2): 557-589 (2012) - 2011
- [i1]Saverio Salzo, Silvia Villa:
Convergence analysis of a proximal Gauss-Newton method. CoRR abs/1103.0414 (2011)
2000 – 2009
- 2004
- [c1]Luca Galli, Saverio Salzo:
Lossless hyperspectral compression using KLT. IGARSS 2004
Coauthor Index
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