| Optimal rates for the regularized least-squares algorithm A Caponnetto, E De Vito Foundations of Computational Mathematics 7, 331-368, 2007 | 1013 | 2007 |
| Are loss functions all the same? L Rosasco, E De Vito, A Caponnetto, M Piana, A Verri Neural computation 16 (5), 1063-1076, 2004 | 721 | 2004 |
| Elastic-net regularization in learning theory C De Mol, E De Vito, L Rosasco Journal of Complexity 25 (2), 201-230, 2009 | 384 | 2009 |
| Vector valued reproducing kernel Hilbert spaces of integrable functions and Mercer theorem C Carmeli, E De Vito, A Toigo Analysis and Applications 4 (04), 377-408, 2006 | 317* | 2006 |
| Learning from Examples as an Inverse Problem. E De Vito, L Rosasco, A Caponnetto, U De Giovannini, F Odone, P Bartlett Journal of Machine Learning Research 6 (5), 2005 | 314 | 2005 |
| On Learning with Integral Operators. L Rosasco, M Belkin, E De Vito Journal of Machine Learning Research 11 (2), 2010 | 308 | 2010 |
| Vector valued reproducing kernel Hilbert spaces and universality C Carmeli, E De Vito, A Toigo, V Umanitá Analysis and Applications 8 (01), 19-61, 2010 | 244 | 2010 |
| Model selection for regularized least-squares algorithm in learning theory E De Vito, A Caponnetto, L Rosasco Foundations of Computational Mathematics 5, 59-85, 2005 | 215 | 2005 |
| Spectral algorithms for supervised learning LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri Neural Computation 20 (7), 1873-1897, 2008 | 179 | 2008 |
| Some properties of regularized kernel methods ED Vito, L Rosasco, A Caponnetto, M Piana, A Verri Journal of Machine Learning Research 5 (Oct), 1363-1390, 2004 | 118 | 2004 |
| Adaptive kernel methods using the balancing principle E De Vito, S Pereverzyev, L Rosasco Foundations of Computational Mathematics 10, 455-479, 2010 | 77 | 2010 |
| Symmetry groups in quantum mechanics and the theorem of Wigner on the symmetry transformations G Cassinelli, E De Vito, PJ Lahti, A Levrero Reviews in Mathematical Physics 9 (08), 921-941, 1997 | 71 | 1997 |
| The Theory of Symmetry Actions in Quantum Mechanics G Cassinelli, E De Vito, PJ Lahti, A Levrero The Theory of Symmetry Actions in Quantum Mechanics, 49-59, 2004 | 68* | 2004 |
| Learning sets with separating kernels E De Vito, L Rosasco, A Toigo Applied and Computational Harmonic Analysis 37 (2), 185-217, 2014 | 65 | 2014 |
| Understanding neural networks with reproducing kernel Banach spaces F Bartolucci, E De Vito, L Rosasco, S Vigogna Applied and Computational Harmonic Analysis 62, 194-236, 2023 | 60 | 2023 |
| Edges and corners with shearlets MA Duval-Poo, F Odone, E De Vito IEEE Transactions on Image Processing 24 (11), 3768-3780, 2015 | 58 | 2015 |
| Discretization error analysis for Tikhonov regularization E De Vito, L Rosasco, A Caponnetto Analysis and Applications 4 (01), 81-99, 2006 | 57 | 2006 |
| Square-integrability of induced representations of semidirect products P Aniello, G Cassinelli, E de Vito, A Levrero Reviews in Mathematical Physics 10 (03), 301-313, 1998 | 49 | 1998 |
| Learning the optimal Tikhonov regularizer for inverse problems GS Alberti, E De Vito, M Lassas, L Ratti, M Santacesaria Advances in Neural Information Processing Systems 34, 25205-25216, 2021 | 48 | 2021 |
| Positive operator valued measures covariant with respect to an irreducible representation G Cassinelli, E De Vito, A Toigo arXiv preprint quant-ph/0302187, 2003 | 44 | 2003 |
