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All publications by Lorenzo Rosasco
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Convex Learning of Multiple Tasks and their Structure
Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio and Lorenzo Rosasco
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning with Incremental Iterative Regularization
Lorenzo Rosasco and Silvia Villa
Advances in Neural Information Processing Systems 28, 2015


Less is More: Nystr\"{o}m Computational Regularization
Alessandro Rudi, Raffaello Camoriano and Lorenzo Rosasco
Advances in Neural Information Processing Systems 28, 2015


On the Sample Complexity of Subspace Learning
Alessandro Rudi, Guillermo D. Canas and Lorenzo Rosasco
Advances in Neural Information Processing Systems 26, 2013


Multiclass Learning with Simplex Coding
Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco and Jean-jeacques Slotine
Advances in Neural Information Processing Systems 25, 2012


Learning Probability Measures with respect to Optimal Transport Metrics
Guillermo Canas and Lorenzo Rosasco
Advances in Neural Information Processing Systems 25, 2012


Learning Manifolds with K-Means and K-Flats
Guillermo Canas, Tomaso Poggio and Lorenzo Rosasco
Advances in Neural Information Processing Systems 25, 2012


Spectral Regularization for Support Estimation
Ernesto D. Vito, Lorenzo Rosasco and Alessandro Toigo
Advances in Neural Information Processing Systems 23, 2010


A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
Sofia Mosci, Silvia Villa, Alessandro Verri and Lorenzo Rosasco
Advances in Neural Information Processing Systems 23, 2010


A Regularization Approach to Nonlinear Variable Selection
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Alessandro Verri and Silvia Villa
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


On Invariance in Hierarchical Models
Jake Bouvrie, Lorenzo Rosasco and Tomaso Poggio
Advances in Neural Information Processing Systems 22, 2009


Dimensionality reduction and generalization
Sofia Mosci, Lorenzo Rosasco and Alessandro Verri
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Learning from Examples as an Inverse Problem
Ernesto D. Vito, Lorenzo Rosasco, Andrea Caponnetto, Umberto D. Giovannini and Francesca Odone
Journal of Machine Learning Research, 2005


Some Properties of Regularized Kernel Methods
Ernesto D. Vito, Lorenzo Rosasco, Andrea Caponnetto, Michele Piana and Alessandro Verri
Journal of Machine Learning Research, 2004


Learning, Regularization and Ill-Posed Inverse Problems
Lorenzo Rosasco, Andrea Caponnetto, Ernesto D. Vito, Francesca Odone and Umberto D. Giovannini
Advances in Neural Information Processing Systems 17, 2004