DE VITO, ERNESTO
DE VITO, ERNESTO
100021 - Dipartimento di Matematica
A Note on Perturbation Results for Learning Empirical Operators
2009-01-01 Rosasco, Lorenzo; M., Belkin; DE VITO, Ernesto
Classical pairing and quantum group duality
1994-01-01 Cassinelli, Giovanni; DE VITO, Ernesto; Truini, Piero
Detection and description of scale invariant interest points with shearlets
2017-01-01 Duval-Poo, Miguel A.; Noceti, Nicoletta; Odone, Francesca; De Vito, Ernesto
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
2022-01-01 Meanti, Giacomo; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo
Learning the optimal Tikhonov regularizer for inverse problems
2021-01-01 Alberti, G.; Lassas, M.; De Vito, E.; Ratti, L.; Santacesaria, M.
Learning, Regularization and Ill-Posed Inverse Problems.
2004-01-01 Rosasco, Lorenzo; A., Caponnetto; DE VITO, Ernesto; U., DE GIOVANNINI; Odone, Francesca
Local spatio-temporal representation using the 3D shearlet transform
2017-01-01 Malafronte, Damiano; Odone, Francesca; De Vito, Ernesto
Mean Nyström Embeddings for Adaptive Compressive Learning
2022-01-01 Chatalic, Antoine; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo
Monte Carlo wavelets: A randomized approach to frame discretization
2019-01-01 Kereta, Z.; Vigogna, S.; Naumova, V.; Rosasco, L.; De Vito, E.
Multiclass Learning with Margin: Exponential Rates with No Bias-Variance Trade-Off
2022-01-01 Vigogna, S.; Meanti, G.; De Vito, E.; Rosasco, L.
Regularized ERM on random subspaces
2021-01-01 DELLA VECCHIA, Andrea; Mourtada, Jaouad; DE VITO, Ernesto; Rosasco, Lorenzo
Shearlets as multi-scale Radon transform
2017-01-01 Bartolucci, Francesca; De Mari, Filippo; De Vito, Ernesto; Odone, Francesca
Spectral Regularization for Support Estimation.
2010-01-01 DE VITO, Ernesto; Rosasco, Lorenzo; A., Toigo
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Note on Perturbation Results for Learning Empirical Operators | 1-gen-2009 | Rosasco, Lorenzo; M., Belkin; DE VITO, Ernesto | |
Classical pairing and quantum group duality | 1-gen-1994 | Cassinelli, Giovanni; DE VITO, Ernesto; Truini, Piero | |
Detection and description of scale invariant interest points with shearlets | 1-gen-2017 | Duval-Poo, Miguel A.; Noceti, Nicoletta; Odone, Francesca; De Vito, Ernesto | |
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression | 1-gen-2022 | Meanti, Giacomo; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo | |
Learning the optimal Tikhonov regularizer for inverse problems | 1-gen-2021 | Alberti, G.; Lassas, M.; De Vito, E.; Ratti, L.; Santacesaria, M. | |
Learning, Regularization and Ill-Posed Inverse Problems. | 1-gen-2004 | Rosasco, Lorenzo; A., Caponnetto; DE VITO, Ernesto; U., DE GIOVANNINI; Odone, Francesca | |
Local spatio-temporal representation using the 3D shearlet transform | 1-gen-2017 | Malafronte, Damiano; Odone, Francesca; De Vito, Ernesto | |
Mean Nyström Embeddings for Adaptive Compressive Learning | 1-gen-2022 | Chatalic, Antoine; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo | |
Monte Carlo wavelets: A randomized approach to frame discretization | 1-gen-2019 | Kereta, Z.; Vigogna, S.; Naumova, V.; Rosasco, L.; De Vito, E. | |
Multiclass Learning with Margin: Exponential Rates with No Bias-Variance Trade-Off | 1-gen-2022 | Vigogna, S.; Meanti, G.; De Vito, E.; Rosasco, L. | |
Regularized ERM on random subspaces | 1-gen-2021 | DELLA VECCHIA, Andrea; Mourtada, Jaouad; DE VITO, Ernesto; Rosasco, Lorenzo | |
Shearlets as multi-scale Radon transform | 1-gen-2017 | Bartolucci, Francesca; De Mari, Filippo; De Vito, Ernesto; Odone, Francesca | |
Spectral Regularization for Support Estimation. | 1-gen-2010 | DE VITO, Ernesto; Rosasco, Lorenzo; A., Toigo |