Saverio Salzo
Saverio Salzo
Zweryfikowany adres z
Cytowane przez
Cytowane przez
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
L Franceschi, P Frasconi, S Salzo, M Pontil
Proceedings of Machine Learning Research: International Conference on …, 2018
Accelerated and Inexact Forward-Backward Algorithms
S Villa, S Salzo, L Baldassarre, A Verri
SIAM Journal on Optimization 23 (3), 1607-1633, 2013
Inexact and accelerated proximal point algorithms
S Salzo, S Villa
Journal of Convex analysis 19 (4), 1167-1192, 2012
Lossless hyperspectral compression using KLT
L Galli, S Salzo
IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium 1, 2004
The variable metric forward-backward splitting algorithm under mild differentiability assumptions
S Salzo
SIAM Journal on Optimization 27 (4), 2153-2181, 2017
Sinkhorn barycenters with free support via Frank-Wolfe algorithm
G Luise, S Salzo, M Pontil, C Ciliberto
Advances in Neural Information Processing Systems, 9322-9333, 2019
On the iteration complexity of hypergradient computation
R Grazzi, L Franceschi, M Pontil, S Salzo
International Conference on Machine Learning, 3748-3758, 2020
Convergence analysis of a proximal Gauss-Newton method
S Salzo, S Villa
Computational Optimization and Applications 53 (2), 557-589, 2012
Bilevel learning of the group lasso structure
J Frecon, S Salzo, M Pontil
Advances in neural information processing systems 31, 8301-8311, 2018
Regularized learning schemes in feature Banach spaces
PL Combettes, S Salzo, S Villa
Analysis and Applications 16 (01), 1-54, 2018
Consistent learning by composite proximal thresholding
PL Combettes, S Salzo, S Villa
Mathematical Programming 167 (1), 99-127, 2018
Latent variable time-varying network inference
F Tomasi, V Tozzo, S Salzo, A Verri
KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on …, 2018
Solving lp-norm regularization with tensor kernels
S Salzo, JAK Suykens, L Rosasco
Proceedings of the Twenty-First International Conference on Artificial …, 2018
Generalized support vector regression: Duality and tensor-kernel representation
S Salzo, JAK Suykens
Analysis and Applications 18 (1), 149-183, 2020
Parallel random block-coordinate forward–backward algorithm: a unified convergence analysis
S Salzo, S Villa
Mathematical Programming, 1-45, 2021
Convergence properties of stochastic hypergradients
R Grazzi, M Pontil, S Salzo
International Conference on Artificial Intelligence and Statistics, 3826-3834, 2021
Dictionary learning improves subtyping of breast cancer aCGH data
S Masecchia, A Barla, S Salzo, A Verri
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
A dictionary learning based method for aCGH segmentation.
S Masecchia, S Salzo, A Barla, A Verri
ESANN, 2013
Alternating proximal regularized dictionary learning
S Salzo, S Masecchia, A Verri, A Barla
Neural computation 26 (12), 2855-2895, 2014
Consistency of regularized learning schemes in Banach spaces
PL Combettes, S Salzo, S Villa
arXiv preprint arXiv:1410.6847, 2014
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