DE VITO, ERNESTO

DE VITO, ERNESTO  

100021 - Dipartimento di Matematica  

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Risultati 1 - 13 di 13 (tempo di esecuzione: 0.007 secondi).
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