Sfoglia per Autore
Accelerated and Inexact Forward-Backward Algorithms
2013-01-01 Villa, Silvia; Salzo, Saverio; L., Baldassarre; Verri, Alessandro
Nonparametric Sparsity and Regularization
2013-01-01 Rosasco, Lorenzo; Villa, Silvia; Mosci, Sofia; Santoro, M.; Verri, A.
On learnability, complexity and stability
2013-01-01 Villa, Silvia; Rosasco, Lorenzo; Poggio, Tomaso
An extension of Mercer theorem to matrix-valued measurable kernels
2013-01-01 De Vito, E.; Umanit(`a), V.; Villa, S.
Proximal methods for the latent group lasso penalty
2014-01-01 Villa, Silvia; Rosasco, Lorenzo; Mosci, Sofia; Verri, Alessandro
Learning with incremental iterative regularization
2015-01-01 Rosasco, Lorenzo; Villa, Silvia
Learning multiple visual tasks while discovering their structure
2015-01-01 Ciliberto, Carlo; Rosasco, Lorenzo; Villa, Silvia
Stochastic gradient methods for stochastic model predictive control
2016-01-01 Themelis, Andreas; Villa, Silvia; Patrinos, Panagiotis; Bemporad, Alberto
Stochastic Forward---Backward Splitting for Monotone Inclusions
2016-01-01 Rosasco, Lorenzo; Silvia, Villa; Bang Công Vũ, ; Villa, Silvia
A stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions
2016-01-01 Rosasco, Lorenzo; Villa, Silvia; Vũ, Băng Công
Iterative Regularization via Dual Diagonal Descent
2017-01-01 Garrigos, Guillaume; Rosasco, Lorenzo; Villa, Silvia
A First-Order Stochastic Primal-Dual Algorithm with Correction Step
2017-01-01 Rosasco, Lorenzo; Villa, Silvia; Công Vũ, Bằng
Modified Fejér sequences and applications
2017-01-01 Lin, Junhong; Rosasco, Lorenzo; Villa, Silvia; Zhou, Ding-Xuan
Sparse multiple kernel learning: Support identification via mirror stratifiability
2018-01-01 GUILLAUME GASPARD PABLO GERAUD, Garrigos; Rosasco, Lorenzo; Villa, Silvia
Consistent learning by composite proximal thresholding
2018-01-01 Combettes, Patrick L.; Salzo, Saverio; Villa, Silvia
Regularized learning schemes in feature Banach spaces
2018-01-01 Combettes, Patrick L.; Salzo, Saverio; Villa, Silvia
Convergence of Stochastic Proximal Gradient Algorithm
2019-01-01 Rosasco, Lorenzo; Villa, Silvia; Cong Vu, Bang
Thresholding gradient methods in Hilbert spaces: support identification and linear convergence
2020-01-01 Garrigos, Guillaume; Rosasco, Lorenzo; Villa, Silvia
Iterative regularization for convex regularizers
2021-01-01 Molinari, Cesare; Massias, MATHURIN PIERRE GILLES; Rosasco, Lorenzo; Villa, Silvia
Proximal Gradient Methods for Machine Learning and Imaging
2021-01-01 Salzo, Saverio; Villa, Silvia
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Accelerated and Inexact Forward-Backward Algorithms | 1-gen-2013 | Villa, Silvia; Salzo, Saverio; L., Baldassarre; Verri, Alessandro | |
Nonparametric Sparsity and Regularization | 1-gen-2013 | Rosasco, Lorenzo; Villa, Silvia; Mosci, Sofia; Santoro, M.; Verri, A. | |
On learnability, complexity and stability | 1-gen-2013 | Villa, Silvia; Rosasco, Lorenzo; Poggio, Tomaso | |
An extension of Mercer theorem to matrix-valued measurable kernels | 1-gen-2013 | De Vito, E.; Umanit(`a), V.; Villa, S. | |
Proximal methods for the latent group lasso penalty | 1-gen-2014 | Villa, Silvia; Rosasco, Lorenzo; Mosci, Sofia; Verri, Alessandro | |
Learning with incremental iterative regularization | 1-gen-2015 | Rosasco, Lorenzo; Villa, Silvia | |
Learning multiple visual tasks while discovering their structure | 1-gen-2015 | Ciliberto, Carlo; Rosasco, Lorenzo; Villa, Silvia | |
Stochastic gradient methods for stochastic model predictive control | 1-gen-2016 | Themelis, Andreas; Villa, Silvia; Patrinos, Panagiotis; Bemporad, Alberto | |
Stochastic Forward---Backward Splitting for Monotone Inclusions | 1-gen-2016 | Rosasco, Lorenzo; Silvia, Villa; Bang Công Vũ, ; Villa, Silvia | |
A stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions | 1-gen-2016 | Rosasco, Lorenzo; Villa, Silvia; Vũ, Băng Công | |
Iterative Regularization via Dual Diagonal Descent | 1-gen-2017 | Garrigos, Guillaume; Rosasco, Lorenzo; Villa, Silvia | |
A First-Order Stochastic Primal-Dual Algorithm with Correction Step | 1-gen-2017 | Rosasco, Lorenzo; Villa, Silvia; Công Vũ, Bằng | |
Modified Fejér sequences and applications | 1-gen-2017 | Lin, Junhong; Rosasco, Lorenzo; Villa, Silvia; Zhou, Ding-Xuan | |
Sparse multiple kernel learning: Support identification via mirror stratifiability | 1-gen-2018 | GUILLAUME GASPARD PABLO GERAUD, Garrigos; Rosasco, Lorenzo; Villa, Silvia | |
Consistent learning by composite proximal thresholding | 1-gen-2018 | Combettes, Patrick L.; Salzo, Saverio; Villa, Silvia | |
Regularized learning schemes in feature Banach spaces | 1-gen-2018 | Combettes, Patrick L.; Salzo, Saverio; Villa, Silvia | |
Convergence of Stochastic Proximal Gradient Algorithm | 1-gen-2019 | Rosasco, Lorenzo; Villa, Silvia; Cong Vu, Bang | |
Thresholding gradient methods in Hilbert spaces: support identification and linear convergence | 1-gen-2020 | Garrigos, Guillaume; Rosasco, Lorenzo; Villa, Silvia | |
Iterative regularization for convex regularizers | 1-gen-2021 | Molinari, Cesare; Massias, MATHURIN PIERRE GILLES; Rosasco, Lorenzo; Villa, Silvia | |
Proximal Gradient Methods for Machine Learning and Imaging | 1-gen-2021 | Salzo, Saverio; Villa, Silvia |
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