working papers

- De Mol, C., De Vito E. and Rosasco L.

"Elastic Net Regularization in Learning Theory", - De Vito, E. and Pereverzev S. and Rosasco L.

"Adaptive Learning via the Balancing Principle" - Belkin, M., De Vito, E. and Rosasco, L.

"Random Estimates of Operators and their Spectral Properties for Learning."

journal papers

- Lo Gerfo L., Rosasco L., Odone F., De Vito E. and Verri, A.

"Spectral Algorithms for Supervised Learning",

to appear in Neural Computation. - Bauer F., Pereverzev S. and Rosasco L.

"On Regularization Algorithms in Learning Theory",

J. Complexity 23(1): 52-72 (2007) (Technical Report DISI-TR-05-19). - Yao Y., Rosasco L. and Caponnetto, A.

"On Early Stopping in Gradient Descent Learning",

Constr. Approx. 26 (2007), no. 2, 289–315. - De Vito E., Rosasco L. and Caponnetto, A.

" Discretization Error Analysis for Tikhonov Regularization ",

Analysis and Applications Vol. 4, No. 1 (January 2006). - De Vito E., Rosasco L.,Caponnetto A., De giovannini U. and
Odone F.

" Learning from Examples as an Inverse Problem ",

Journal of Machine Learning Research 6(May):883--904, 2005. - De Vito E., Rosasco L., Caponnetto A., Piana M. and Verri
A.

" Some Properties of Regularized Kernel Methods",

Journal of Machine Learning Research 5(Oct):1363--1390, 2004. . - De Vito E., Caponnetto A, Rosasco L..

" Model Selection for Regularized Least-Squares Algorithm in Learning Theory",

Foundations of Computational Mathematics Volume 5, Number 1 pp. 59 - 85, February 2005 . - Rosasco L., Caponnetto A., De Vito E., Piana M. and Verri
A.

" Are Loss Function All the Same?"

Neural Computation, Vol. 16, Issue 5 - May 2004.

conference papers

- Barla, A., Mosci, S., Rosasco, L. and Verri, A.

"A method for robust variable selection wit significance assessments"

16th European Symposium on Artificial Neural Networks. - Mosci, S., Rosasco, L. and Verri A.

" Dimensionality reduction and generalization ",

ACM International Conference Proceeding Series; Vol. 227 archive Proceedings of the 24th International Conference on Machine Learning - Caponnetto A., Rosasco L., Odone F. and Verri A.

" Support Vectors Algorithms as Regularization Networks ",

13th European Symposium on Artificial Neural Networks. - Rosasco L., Caponnetto A., De Vito E., De giovannini U. and
Odone F.

" Learning, Regularization and Ill-posed Inverse problems ",

Eighteenth Annual Conference on Neural Information Processing Systems.

technical reports

- Rosasco L., De Vito E. and Verri A.

" Spectral Methods for Regularization in Learning Theory",

Technical report DISI-TR-05-18. - Caponnetto A., Rosasco L., De Vito E. and Verri A.

"Empirical Effective Dimension and Optimal Rates for Regularized Least Squares Algorithm ",

CBCL Paper #252/AI Memo #2005-019, MIT, Cambridge, MA, May 2005. - Caponnetto A. and Rosasco L.

" Non Standard Support Vector Machines and Regularization Networks",

DISI-TR-04-03. - De Vito E., Rosasco L., Caponnetto A., Piana M. and Verri
A.

"Representer Theorem for Convex Loss Fuction",

DISI-TR-03-13. - De Vito E., Rosasco L., Caponnetto A., Piana M. and Verri
A.

" Minimization of Tiklhonov Functional: the Continuos Setting",

DISI-TR-03-14 .