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Search results for biblio_year:1979
Filters: 1 is biblio_year:2001 and 2 is biblio_type:Master's thesis and 3 is biblio_year:2003 and 4 is biblio_year:2004 and 5 is biblio_type:Book and 6 is biblio_year:2018 and 7 is biblio_year:2009 and 8 is biblio_type:Talks, invited and 9 is field_research_area:590 and 10 is biblio_year:2019 and Author is Ernesto De Vito  [Reset Search]
2019
M. Fornasier, E. De Vito, Z. Kereta and V. Naumova. Automated parameter estimation for selected inverse problems In Grenoble, France., 2019.
E. De Vito, Z. Kereta, V. Naumova, L. Rosasco and S. Vigogna. Monte Carlo wavelets: a randomized approach to frame discretization In Sampling Theory and Applications. IEEE, 2019.
E. De Vito, Z. Kereta and V. Naumova. "Unsupervised parameter selection for denoising with the elastic net." Machine Learning (2019).
E. De Vito, Z. Kereta and V. Naumova. Unsupervised Parameter Selection in Variational Regularization. SPARS 2019, Toulouse, France, 2019.
2018
E. De Vito, Z. Kereta and V. Naumova. "A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net." arXiv (2018).PDF icon 1809.08696.pdf (1.75 MB)
2017
E. De Vito, Z. Kereta and V. Naumova. Nearly Optimal Parameter selection for the Elastic Net In Hangzhou, China., 2017.
2016
E. De Vito, M. Fornasier and V. Naumova. "A Machine Learning Approach to Optimal Tikhonov Regularization I." Journal of Machine Learning Research (2016).PDF icon learning_parameter.pdf (472.12 KB)