VIGOGNA, STEFANO
VIGOGNA, STEFANO
Dipartimento di Matematica
A biased kaczmarz algorithm for clustered equations
2019-01-01 Lanteri, A; Maggioni, M; Vigogna, S
A Case of Exponential Convergence Rates for SVM
2023-01-01 Cabannes, V; Vigogna, S
A quantitative functional central limit theorem for shallow neural networks
2024-01-01 Cammarota, V; Marinucci, D; Salvi, M; Vigogna, S
Conditional regression for single-index models
2022-01-01 Lanteri, A; Maggioni, M; Vigogna, S
Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel
2021-01-01 De Vito, E; Kereta, Z; Naumova, V; Rosasco, L; Vigogna, S
Continuous and discrete frames generated by the evolution flow of the Schrödinger equation
2017-01-01 Alberti, Gs; Dahlke, S; De Mari, F; De Vito, E; Vigogna, S
Coorbit Spaces with Voice in a Fréchet Space
2017-01-01 Dahlke, S; De Mari, F; De Vito, E; Labate, D; Steidl, G; Teschke, G; Vigogna, S
Estimating multi-index models with response-conditional least squares
2021-01-01 Klock, T; Lanteri, A; Vigogna, S
Geometric classification of semidirect products in the maximal parabolic subgroup of Sp (2,R)
2017-01-01 De Mari, F; De Vito, E; Vigogna, S
How many samples are needed to leverage smoothness?
2023-01-01 Cabannes, V; Vigogna, S
Intrinsic Localization of Anisotropic Frames II: (Formula presented.)-Molecules
2015-01-01 Grohs, P; Vigogna, S
Learning adaptive multiscale approximations to data and functions near low-dimensional sets
2016-01-01 Liao, W; Maggioni, M; Vigogna, S
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
Multiscale regression on unknown manifolds
2022-01-01 Liao, W; Maggioni, M; Vigogna, S
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
2021-01-01 Carratino, L; Vigogna, S; Calandriello, D; Rosasco, L
Understanding neural networks with reproducing kernel Banach spaces
2023-01-01 Bartolucci, F; De Vito, E; Rosasco, L; Vigogna, S
| Data di pubblicazione | Titolo | Autore(i) | Tipo | File |
|---|---|---|---|---|
| 1-gen-2019 | A biased kaczmarz algorithm for clustered equations | Lanteri, A; Maggioni, M; Vigogna, S | Intervento a convegno | |
| 1-gen-2023 | A Case of Exponential Convergence Rates for SVM | Cabannes, V; Vigogna, S | Intervento a convegno | |
| 1-gen-2024 | A quantitative functional central limit theorem for shallow neural networks | Cammarota, V; Marinucci, D; Salvi, M; Vigogna, S | Articolo su rivista | |
| 1-gen-2022 | Conditional regression for single-index models | Lanteri, A; Maggioni, M; Vigogna, S | Articolo su rivista | |
| 1-gen-2021 | Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel | De Vito, E; Kereta, Z; Naumova, V; Rosasco, L; Vigogna, S | Articolo su rivista | |
| 1-gen-2017 | Continuous and discrete frames generated by the evolution flow of the Schrödinger equation | Alberti, Gs; Dahlke, S; De Mari, F; De Vito, E; Vigogna, S | Articolo su rivista | |
| 1-gen-2017 | Coorbit Spaces with Voice in a Fréchet Space | Dahlke, S; De Mari, F; De Vito, E; Labate, D; Steidl, G; Teschke, G; Vigogna, S | Articolo su rivista | |
| 1-gen-2021 | Estimating multi-index models with response-conditional least squares | Klock, T; Lanteri, A; Vigogna, S | Articolo su rivista | |
| 1-gen-2017 | Geometric classification of semidirect products in the maximal parabolic subgroup of Sp (2,R) | De Mari, F; De Vito, E; Vigogna, S | Articolo su rivista | |
| 1-gen-2023 | How many samples are needed to leverage smoothness? | Cabannes, V; Vigogna, S | Intervento a convegno | |
| 1-gen-2015 | Intrinsic Localization of Anisotropic Frames II: (Formula presented.)-Molecules | Grohs, P; Vigogna, S | Articolo su rivista | |
| 1-gen-2016 | Learning adaptive multiscale approximations to data and functions near low-dimensional sets | Liao, W; Maggioni, M; Vigogna, S | Intervento a convegno | |
| 1-gen-2019 | Monte Carlo wavelets: A randomized approach to frame discretization | Kereta, Z; Vigogna, S; Naumova, V; Rosasco, L; De Vito, E | Intervento a convegno | |
| 1-gen-2022 | Multiclass Learning with Margin: Exponential Rates with No Bias-Variance Trade-Off | Vigogna, S; Meanti, G; De Vito, E; Rosasco, L | Intervento a convegno | |
| 1-gen-2022 | Multiscale regression on unknown manifolds | Liao, W; Maggioni, M; Vigogna, S | Articolo su rivista | |
| 1-gen-2021 | ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions | Carratino, L; Vigogna, S; Calandriello, D; Rosasco, L | Intervento a convegno | |
| 1-gen-2023 | Understanding neural networks with reproducing kernel Banach spaces | Bartolucci, F; De Vito, E; Rosasco, L; Vigogna, S | Articolo su rivista |