Sfoglia per Autore
Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel
2021-01-01 De Vito, Ernesto; Kereta, Zeljko; Naumova, Valeriya; Rosasco, Lorenzo; Vigogna, Stefano
Learning the optimal Tikhonov regularizer for inverse problems
2021-01-01 Alberti, G.; Lassas, M.; De Vito, E.; Ratti, L.; Santacesaria, M.
Regularization: From Inverse Problems to Large-Scale Machine Learning
2021-01-01 De Vito, E.; Rosasco, L.; Rudi, A.
Mean Nyström Embeddings for Adaptive Compressive Learning
2022-01-01 Chatalic, Antoine; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo
Multiclass Learning with Margin: Exponential Rates with No Bias-Variance Trade-Off
2022-01-01 Vigogna, S.; Meanti, G.; De Vito, E.; Rosasco, L.
Understanding neural networks with reproducing kernel Banach spaces
2022-01-01 Bartolucci, F.; De Vito, E.; Rosasco, L.; Vigogna, S.
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
2022-01-01 Meanti, Giacomo; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo
Continuous wavelet frames on the sphere: The group-theoretic approach revisited
In corso di stampa Dahlke, S.; De Mari, F.; De Vito, E.; Hansen, M.; Hasannasab, M.; Quellmalz, M.; Steidl, G.; Teschke, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel | 1-gen-2021 | De Vito, Ernesto; Kereta, Zeljko; Naumova, Valeriya; Rosasco, Lorenzo; Vigogna, Stefano | |
| Learning the optimal Tikhonov regularizer for inverse problems | 1-gen-2021 | Alberti, G.; Lassas, M.; De Vito, E.; Ratti, L.; Santacesaria, M. | |
| Regularization: From Inverse Problems to Large-Scale Machine Learning | 1-gen-2021 | De Vito, E.; Rosasco, L.; Rudi, A. | |
| Mean Nyström Embeddings for Adaptive Compressive Learning | 1-gen-2022 | Chatalic, Antoine; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo | |
| Multiclass Learning with Margin: Exponential Rates with No Bias-Variance Trade-Off | 1-gen-2022 | Vigogna, S.; Meanti, G.; De Vito, E.; Rosasco, L. | |
| Understanding neural networks with reproducing kernel Banach spaces | 1-gen-2022 | Bartolucci, F.; De Vito, E.; Rosasco, L.; Vigogna, S. | |
| Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression | 1-gen-2022 | Meanti, Giacomo; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo | |
| Continuous wavelet frames on the sphere: The group-theoretic approach revisited | In corso di stampa | Dahlke, S.; De Mari, F.; De Vito, E.; Hansen, M.; Hasannasab, M.; Quellmalz, M.; Steidl, G.; Teschke, G. |
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