Ernesto De Vito

E. De Vito, M. Fornasier and V. Naumova

A machine learning approach to optimal Tikhonov regularization I: Affine manifolds

Analysis and Applications

E. De Vito, Z. Kereta and V. Naumova

Unsupervised parameter selection for denoising with the elastic net

Machine Learning

E. De Vito, Z. Kereta, V. Naumova, L. Rosasco and S. Vigogna

Monte Carlo wavelets: a randomized approach to frame discretization

Sampling Theory and Applications

E. De Vito, Z. Kereta and V. Naumova

Unsupervised Parameter Selection in Variational Regularization

M. Fornasier, E. De Vito, Z. Kereta and V. Naumova

Automated parameter estimation for selected inverse problems

Grenoble, France

E. De Vito, Z. Kereta and V. Naumova

A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net

arXiv

E. De Vito, Z. Kereta and V. Naumova

Nearly Optimal Parameter selection for the Elastic Net

Hangzhou, China