Ernesto De Vito

Personal Information:

Position:	Faculty
Email:	This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Phone or fax:	+390103536783
Personal page

Most Recent Publications:
Elastic-net regularization in learning theory, C. De Mol, E. De Vito, L. Rosasco, J. Complexity, 2009 Entropy conditions for L_r-convergence of empirical processes, A. Caponnetto, E. De Vito, M. Pontil, Adv. Comput. Math., 2009 On learning with Integral Operators, L Rosasco, M Belkin, E De Vito, J. Mach. Learn. Res., 2009 Spectral Algorithms for Supervised Learning., L. Lo Gerfo, L. Rosasco, F. Odone, E. De Vito, A. Verri, Neural Computation, 2008 Optimal rates for the regularized least-squares algorithm, A. Caponnetto, E. De Vito, Found. Comput. Math., 2007

Projects:
Sparsity based regularization and variable selection Regularized kernel methods Manifold learning by spectral methods


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