| 2007 |
|---|
| 10 | EE | Andrea Caponnetto,
Ernesto De Vito:
Optimal Rates for the Regularized Least-Squares Algorithm.
Foundations of Computational Mathematics 7(3): 331-368 (2007) |
| 9 | EE | Andrea Caponnetto,
Steve Smale:
Risk Bounds for Random Regression Graphs.
Foundations of Computational Mathematics 7(4): 495-528 (2007) |
| 2006 |
|---|
| 8 | EE | Alexander Rakhlin,
Andrea Caponnetto:
Stability of $K$-Means Clustering.
NIPS 2006: 1121-1128 |
| 7 | EE | Andrea Caponnetto,
Alexander Rakhlin:
Stability Properties of Empirical Risk Minimization over Donsker Classes.
Journal of Machine Learning Research 6: 2565-2583 (2006) |
| 2005 |
|---|
| 6 | EE | Andrea Caponnetto,
Lorenzo Rosasco,
Francesca Odone,
Alessandro Verri:
Support vector algorithms as regularization networks.
ESANN 2005: 595-600 |
| 5 | EE | Ernesto De Vito,
Andrea Caponnetto,
Lorenzo Rosasco:
Model Selection for Regularized Least-Squares Algorithm in Learning Theory.
Foundations of Computational Mathematics 5(1): 59-85 (2005) |
| 4 | EE | Ernesto De Vito,
Lorenzo Rosasco,
Andrea Caponnetto,
Umberto De Giovannini,
Francesca Odone:
Learning from Examples as an Inverse Problem.
Journal of Machine Learning Research 6: 883-904 (2005) |
| 2004 |
|---|
| 3 | EE | Lorenzo Rosasco,
Andrea Caponnetto,
Ernesto De Vito,
Francesca Odone,
Umberto De Giovannini:
Learning, Regularization and Ill-Posed Inverse Problems.
NIPS 2004 |
| 2 | EE | Ernesto De Vito,
Lorenzo Rosasco,
Andrea Caponnetto,
Michele Piana,
Alessandro Verri:
Some Properties of Regularized Kernel Methods
Journal of Machine Learning Research 5: 1363-1390 (2004) |
| 1 | EE | Lorenzo Rosasco,
Ernesto De Vito,
Andrea Caponnetto,
Michele Piana,
Alessandro Verri:
Are Loss Functions All the Same?.
Neural Computation 16(5): 1063-107 (2004) |
