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Scopus Author ID: 8209865800
Loop profile: 2426213

Keywords

optimization, algorithms, machine learning

Countries

Italy

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Employment (10)

Sapienza Università di Roma: Roma, IT

2022-07-01 to present | Researcher (Department of Computer, Control and Management Engineering)
Employment
Source: Self-asserted source
Saverio Salzo

University College London: London, London, GB

2020-10 to present | Honorary Lecture (Department of Computer Science)
Employment
Source: Self-asserted source
Saverio Salzo

Istituto Italiano di Tecnologia: Genova, Liguria, IT

2018-01-01 to present | Researcher (Computational Statistics and Machine Learning (CSML))
Employment
Source: Self-asserted source
Saverio Salzo

Istituto Italiano di Tecnologia: Genova, Liguria, IT

2016-03-01 to 2017-12-31 | Senior Post-Doctoral Research Fellowship (Laboratory for Computational and Statistical Learning (LCSL))
Employment
Source: Self-asserted source
Saverio Salzo

KU Leuven: Leuven, Vlaanderen, BE

2016-01-18 to 2016-02-17 | Visiting Scholarship (ESAT-STADIUS)
Employment
Source: Self-asserted source
Saverio Salzo

Università degli Studi di Genova: Genova, Liguria, IT

2015-01-05 to 2016-01-04 | Post-Doctoral Research Fellowship (Assegno di Ricerca) (DIBRIS)
Employment
Source: Self-asserted source
Saverio Salzo

Università degli Studi di Genova: Genova, Liguria, IT

2013-01-03 to 2014-01-02 | Post-Doctoral Research Fellowship (Assegno di Ricerca) (DIBRIS)
Employment
Source: Self-asserted source
Saverio Salzo

Università degli Studi di Genova: Genova, Liguria, IT

2011-01-03 to 2013-01-02 | Post-Doctoral Research Fellowship (Assegno di Ricerca) (DISI)
Employment
Source: Self-asserted source
Saverio Salzo

Università degli Studi di Bologna: Bologna, Emilia-Romagna, IT

2007-05-01 to 2007-12-30 | Research Fellowship (ARCES)
Employment
Source: Self-asserted source
Saverio Salzo

Advanced Computer System (Italy): Matera, IT

2003-01-01 to 2007-04-30
Employment
Source: Self-asserted source
Saverio Salzo

Education and qualifications (3)

Università degli Studi di Genova: Genova, Liguria, IT

2008-01-01 to 2012-05-07 | PhD Degree in Computer Science (Computer Science)
Education
Source: Self-asserted source
Saverio Salzo

Università degli Studi di Milano-Bicocca: Milano, IT

2002-01-02 to 2002-12-19 | Master in Applications of Mathematics in Industry and Services (MAMI) (Mathematics)
Education
Source: Self-asserted source
Saverio Salzo

Università degli Studi di Bari: Bari, Puglia, IT

1996-01-01 to 2001-07-19 | Laurea in Matematica (Mathematics)
Education
Source: Self-asserted source
Saverio Salzo

Works (27)

High Probability Bounds for Stochastic Subgradient Schemes with Heavy Tailed Noise]

SIAM Journal on Mathematics of Data Science
2024-12-31 | Journal article
DOI: 10.1137/22M1536558
Contributors: Daniela Angela Parletta; Andrea Paudice; Massimiliano Pontil; Saverio Salzo
Source: check_circle
Crossref

The method of randomized Bregman projections for stochastic feasibility problems

Numerical Algorithms
2022-12-21 | Journal article
DOI: 10.1007/s11075-022-01468-8
Part of ISSN: 1017-1398
Part of ISSN: 1572-9265
Contributors: Vladimir Kostić; Saverio Salzo
Source: Self-asserted source
Saverio Salzo

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

International Conference on Machine Learning (ICML 2022)
2022-07-17 | Conference paper
Contributors: Saverio Salzo; Vladimir Kostic; Massimiliano Pontil
Source: Self-asserted source
Saverio Salzo

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

Mathematical Programming
2022-05 | Journal article
DOI: 10.1007/s10107-020-01602-1
Contributors: Saverio Salzo; Silvia Villa
Source: check_circle
Crossref

Proximal Gradient Methods for Machine Learning and Imaging

Harmonic and Applied Analysis. From Radon Transforms to Machine Learning.
2021 | Book chapter
DOI: 10.1007/978-3-030-86664-8_4
Source: Self-asserted source
Saverio Salzo

The method of Bregman projections in deterministic and stochastic convex feasibility problems

2021-01-05 | Preprint
ARXIV: arXiv:2101.01704v1
Source: Self-asserted source
Saverio Salzo

Generalized support vector regression: Duality and tensor-kernel representation

Analysis and Applications
2020 | Journal article
DOI: 10.1142/S0219530519410069
EID:

2-s2.0-85076412969

Part of ISBN:

17936861 02195305
Contributors: Salzo, S.; Suykens, J.A.K.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Convergence Properties of Stochastic Hypergradients

2020-11-13 | Preprint
ARXIV: arXiv:2011.07122v1
Source: Self-asserted source
Saverio Salzo

On the Iteration Complexity of Hypergradient Computation

37th International Conference on Machine Learning
2020-07 | Conference paper
Source: Self-asserted source
Saverio Salzo

Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm

33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
2019-12-08 | Conference paper
Source: Self-asserted source
Saverio Salzo

Parallel Random Block-Coordinate Forward-Backward Algorithm: A Unified Convergence Analysis

2019-06-18 | Preprint
ARXIV: arXiv:1906.07392v1
Source: Self-asserted source
Saverio Salzo

Bilevel learning of the group lasso structure

Advances in Neural Information Processing Systems
2018 | Conference paper
EID:

2-s2.0-85064847666
Contributors: Frecon, J.; Salzo, S.; Pontil, M.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Bilevel Programming for Hyperparameter Optimization and Meta-Learning

35th International Conference on Machine Learning, ICML 2018
2018 | Conference paper
EID:

2-s2.0-85057302642
Contributors: Franceschi, L.; Frasconi, P.; Salzo, S.; Grazzi, R.; Pontil, M.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Consistent learning by composite proximal thresholding

Mathematical Programming
2018 | Journal article
DOI: 10.1007/s10107-017-1133-8
EID:

2-s2.0-85015986079
Contributors: Combettes, P.L.; Salzo, S.; Villa, S.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Forward-Backward Splitting for Time-Varying Graphical Models

Proceedings of the Ninth International Conference on Probabilistic Graphical Models
2018 | Conference paper
Source: Self-asserted source
Saverio Salzo

Latent variable time-varying network inference

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2018 | Conference paper
DOI: 10.1145/3219819.3220121
EID:

2-s2.0-85051547138
Contributors: Tomasi, F.; Salzo, S.; Tozzo, V.; Verri, A.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Regularized learning schemes in feature Banach spaces

Analysis and Applications
2018 | Journal article
DOI: 10.1142/S0219530516500202
EID:

2-s2.0-85004168921
Contributors: Combettes, P.L.; Salzo, S.; Villa, S.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Solving ℓ<sup>p</sup>-norm regularization with tensor kernels

International Conference on Artificial Intelligence and Statistics, AISTATS 2018
2018 | Conference paper
EID:

2-s2.0-85067793433
Contributors: Salzo, S.; Suykens, J.A.K.; Rosasco, L.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

The variable metric forward-backward splitting algorithm under mild differentiability assumptions

SIAM Journal on Optimization
2017 | Journal article
DOI: 10.1137/16M1073741
EID:

2-s2.0-85040745870
Contributors: Salzo, S.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Alternating proximal regularized dictionary learning

Neural Computation
2014 | Journal article
DOI: 10.1162/NECO_a_00672
EID:

2-s2.0-84910666467
Contributors: Salzo, S.; Masecchia, S.; Verri, A.; Barla, A.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

A dictionary learning based method for aCGH segmentation

ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
2013 | Conference paper
EID:

2-s2.0-84887105494
Contributors: Masecchia, S.; Salzo, S.; Barla, A.; Verri, A.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Accelerated and inexact forward-backward algorithms

SIAM Journal on Optimization
2013 | Journal article
DOI: 10.1137/110844805
EID:

2-s2.0-84886247153
Contributors: Villa, S.; Salzo, S.; Baldassarre, L.; Verri, A.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Dictionary learning improves subtyping of breast cancer aCGH data

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2013 | Conference paper
DOI: 10.1109/EMBC.2013.6609572
EID:

2-s2.0-84886463184
Contributors: Masecchia, S.; Barla, A.; Salzo, S.; Verri, A.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Convergence analysis of a proximal Gauss-Newton method

Computational Optimization and Applications
2012 | Journal article
DOI: 10.1007/s10589-012-9476-9
EID:

2-s2.0-84868354015
Contributors: Salzo, S.; Villa, S.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Inexact and accelerated proximal point algorithms

Journal of Convex Analysis
2012 | Journal article
EID:

2-s2.0-84872004272
Contributors: Salzo, S.; Villa, S.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

The GOCE Calibration and Monitoring Facility (CMF)

European Space Agency, (Special Publication) ESA SP
2007 | Conference paper
DOI: 10.1109/RADECS.2003.185628
EID:

2-s2.0-34249742524
Contributors: González, J.A.; Canales, A.; Acarreta, J.R.; López-Hazas, E.; De Candia, D.; Salzo, S.; Floberghagen, R.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier

Lossless hyperspectral compression using KLT

International Geoscience and Remote Sensing Symposium (IGARSS)
2004 | Conference paper
EID:

2-s2.0-15944396943
Contributors: Galli, L.; Salzo, S.
Source: Self-asserted source
Saverio Salzo via Scopus - Elsevier
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