VILLA, SILVIA
VILLA, SILVIA
100021 - Dipartimento di Matematica
A Regularization Approach to Nonlinear Variable Selection
2010-01-01 Rosasco, Lorenzo; Santoro, M; Mosci, Sofia; Villa, Silvia; Verri, Alessandro
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
2022-01-01 Rando, M.; Carratino, L.; Villa, S.; Rosasco, L.
Approximability of sliding modes and regularization
2006-01-01 Levaggi, Laura; Villa, Silvia
Is There Sparsity Beyond Additive Models?
2012-01-01 Mosci, S.; Rosasco, Lorenzo; Santoro, M.; Verri, Alessandro; Villa, S.
Iterative regularization for convex regularizers
2021-01-01 Molinari, Cesare; Massias, MATHURIN PIERRE GILLES; Rosasco, Lorenzo; Villa, Silvia
Learning multiple visual tasks while discovering their structure
2015-01-01 Ciliberto, Carlo; Rosasco, Lorenzo; Villa, Silvia
Learning with incremental iterative regularization
2015-01-01 Rosasco, Lorenzo; Villa, Silvia
Regularization Properties of Dual Subgradient Flow
2023-01-01 Apidopoulos, Vassilis; Molinari, Cesare; Rosasco, Lorenzo; Villa, Silvia
Snacks: a fast large-scale kernel SVM solver
2023-01-01 Tanji, S.; Vecchia, A. D.; Glineur, F.; Villa, S.
Sparse multiple kernel learning: Support identification via mirror stratifiability
2018-01-01 GUILLAUME GASPARD PABLO GERAUD, Garrigos; Rosasco, Lorenzo; Villa, Silvia
Stochastic gradient methods for stochastic model predictive control
2016-01-01 Themelis, Andreas; Villa, Silvia; Patrinos, Panagiotis; Bemporad, Alberto
Well-posedness of nonconvex integral functionals
2005-01-01 Villa, Silvia
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Regularization Approach to Nonlinear Variable Selection | 1-gen-2010 | Rosasco, Lorenzo; Santoro, M; Mosci, Sofia; Villa, Silvia; Verri, Alessandro | |
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization | 1-gen-2022 | Rando, M.; Carratino, L.; Villa, S.; Rosasco, L. | |
Approximability of sliding modes and regularization | 1-gen-2006 | Levaggi, Laura; Villa, Silvia | |
Is There Sparsity Beyond Additive Models? | 1-gen-2012 | Mosci, S.; Rosasco, Lorenzo; Santoro, M.; Verri, Alessandro; Villa, S. | |
Iterative regularization for convex regularizers | 1-gen-2021 | Molinari, Cesare; Massias, MATHURIN PIERRE GILLES; Rosasco, Lorenzo; Villa, Silvia | |
Learning multiple visual tasks while discovering their structure | 1-gen-2015 | Ciliberto, Carlo; Rosasco, Lorenzo; Villa, Silvia | |
Learning with incremental iterative regularization | 1-gen-2015 | Rosasco, Lorenzo; Villa, Silvia | |
Regularization Properties of Dual Subgradient Flow | 1-gen-2023 | Apidopoulos, Vassilis; Molinari, Cesare; Rosasco, Lorenzo; Villa, Silvia | |
Snacks: a fast large-scale kernel SVM solver | 1-gen-2023 | Tanji, S.; Vecchia, A. D.; Glineur, F.; Villa, S. | |
Sparse multiple kernel learning: Support identification via mirror stratifiability | 1-gen-2018 | GUILLAUME GASPARD PABLO GERAUD, Garrigos; Rosasco, Lorenzo; Villa, Silvia | |
Stochastic gradient methods for stochastic model predictive control | 1-gen-2016 | Themelis, Andreas; Villa, Silvia; Patrinos, Panagiotis; Bemporad, Alberto | |
Well-posedness of nonconvex integral functionals | 1-gen-2005 | Villa, Silvia |