Ernesto De Vito

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 24

Top Topics

Random Subspaces

Radon Transform

Reproducing Kernel

Inverse Problems

Top Venues

IEEE Trans. Image Process.

Publications

Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna
Neural reproducing kernel Banach spaces and representer theorems for deep networks. CoRR (2024)
Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. CoRR (2023)
Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
Multiclass learning with margin: exponential rates with no bias-variance trade-off. CoRR (2022)
Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. AISTATS (2022)
Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
Multiclass learning with margin: exponential rates with no bias-variance trade-off. ICML (2022)
Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Mean Nyström Embeddings for Adaptive Compressive Learning. AISTATS (2022)
Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. CoRR (2022)
Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco
Regularized ERM on random subspaces. AISTATS (2021)
Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Mean Nyström Embeddings for Adaptive Compressive Learning. CoRR (2021)
Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna
Understanding neural networks with reproducing kernel Banach spaces. CoRR (2021)
Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
Learning the optimal Tikhonov regularizer for inverse problems. NeurIPS (2021)
Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
Learning the optimal regularizer for inverse problems. CoRR (2021)
Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco
Regularized ERM on random subspaces. CoRR (2020)
Nicolò Pagliana, Alessandro Rudi, Ernesto De Vito, Lorenzo Rosasco
Interpolation and Learning with Scale Dependent Kernels. CoRR (2020)
Ernesto De Vito, Nicole Mücke, Lorenzo Rosasco
Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces. CoRR (2019)
Giovanni S. Alberti, Francesca Bartolucci, Filippo De Mari, Ernesto De Vito
Unitarization and Inversion Formulae for the Radon Transform Between Dual Pairs. SIAM J. Math. Anal. 51 (6) (2019)
Enrico Cecini, Ernesto De Vito, Lorenzo Rosasco
Multi-Scale Vector Quantization with Reconstruction Trees. CoRR (2019)
Damiano Malafronte, Ernesto De Vito, Francesca Odone
Space-Time Signal Analysis and the 3D Shearlet Transform. J. Math. Imaging Vis. 60 (7) (2018)
Ernesto De Vito, Zeljko Kereta, Valeria Naumova
A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net. CoRR (2018)
Damiano Malafronte, Francesca Odone, Ernesto De Vito
Detecting Spatio-Temporally Interest Points Using the Shearlet Transform. IbPRIA (2017)
Alessandro Rudi, Ernesto De Vito, Alessandro Verri, Francesca Odone
Regularized Kernel Algorithms for Support Estimation. Frontiers Appl. Math. Stat. 3 (2017)
Miguel A. Duval-Poo, Nicoletta Noceti, Francesca Odone, Ernesto De Vito
Scale Invariant and Noise Robust Interest Points With Shearlets. IEEE Trans. Image Process. 26 (6) (2017)
Miguel A. Duval-Poo, Nicoletta Noceti, Francesca Odone, Ernesto De Vito
Scale Invariant Interest Points with Shearlets. CoRR (2016)
Francesco Levet, Miguel A. Duval-Poo, Ernesto De Vito, Francesca Odone
Retinal Image Analysis with Shearlets. STAG (2016)
Miguel A. Duval-Poo, Francesca Odone, Ernesto De Vito
Enhancing Signal Discontinuities with Shearlets: An Application to Corner Detection. ICIAP (2) (2015)
Miguel A. Duval-Poo, Francesca Odone, Ernesto De Vito
Edges and Corners With Shearlets. IEEE Trans. Image Process. 24 (11) (2015)
Alessandro Rudi, Francesca Odone, Ernesto De Vito
Geometrical and computational aspects of Spectral Support Estimation for novelty detection. Pattern Recognit. Lett. 36 (2014)
Ernesto De Vito, Veronica Umanità, Silvia Villa
A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization. J. Complex. 27 (2) (2011)
Ernesto De Vito, Sergei V. Pereverzyev, Lorenzo Rosasco
Adaptive Kernel Methods Using the Balancing Principle. Found. Comput. Math. 10 (4) (2010)
Ernesto De Vito, Lorenzo Rosasco, Alessandro Toigo
Spectral Regularization for Support Estimation. NIPS (2010)
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
On Learning with Integral Operators. J. Mach. Learn. Res. 11 (2010)
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
A Note on Learning with Integral Operators. COLT (2009)
Andrea Caponnetto, Ernesto De Vito, Massimiliano Pontil
-convergence of empirical processes. Adv. Comput. Math. 30 (4) (2009)
Christine De Mol, Ernesto De Vito, Lorenzo Rosasco
Elastic-net regularization in learning theory. J. Complex. 25 (2) (2009)
L. Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ernesto De Vito, Alessandro Verri
Spectral Algorithms for Supervised Learning. Neural Comput. 20 (7) (2008)
Andrea Caponnetto, Ernesto De Vito
Optimal Rates for the Regularized Least-Squares Algorithm. Found. Comput. Math. 7 (3) (2007)
Ernesto De Vito, Andrea Caponnetto, Lorenzo Rosasco
Model Selection for Regularized Least-Squares Algorithm in Learning Theory. Found. Comput. Math. 5 (1) (2005)
Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto, Umberto De Giovannini, Francesca Odone
Learning from Examples as an Inverse Problem. J. Mach. Learn. Res. 6 (2005)
Lorenzo Rosasco, Andrea Caponnetto, Ernesto De Vito, Francesca Odone, Umberto De Giovannini
Learning, Regularization and Ill-Posed Inverse Problems. NIPS (2004)
Lorenzo Rosasco, Ernesto De Vito, Andrea Caponnetto, Michele Piana, Alessandro Verri
Are Loss Functions All the Same?. Neural Comput. 16 (5) (2004)
Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto, Michele Piana, Alessandro Verri
Some Properties of Regularized Kernel Methods J. Mach. Learn. Res. 5 (2004)