Lorenzo Rosasco
Lorenzo Rosasco
MaLGa Machine Learning Genoa Center - UniversitÓ degli Studi di Genova
Verified email at unige.it - Homepage
Cited by
Cited by
Holographic embeddings of knowledge graphs
M Nickel, L Rosasco, T Poggio
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
On early stopping in gradient descent learning
Y Yao, L Rosasco, A Caponnetto
Constructive Approximation 26 (2), 289-315, 2007
Kernels for vector-valued functions: A review
MA Alvarez, L Rosasco, ND Lawrence
arXiv preprint arXiv:1106.6251, 2011
Are loss functions all the same?
L Rosasco, E De Vito, A Caponnetto, M Piana, A Verri
Neural computation 16 (5), 1063-1076, 2004
Why and when can deep-but not shallow-networks avoid the curse of dimensionality: a review
T Poggio, H Mhaskar, L Rosasco, B Miranda, Q Liao
International Journal of Automation and Computing 14 (5), 503-519, 2017
On regularization algorithms in learning theory
F Bauer, S Pereverzev, L Rosasco
Journal of complexity 23 (1), 52-72, 2007
Elastic-net regularization in learning theory
C De Mol, E De Vito, L Rosasco
Journal of Complexity 25 (2), 201-230, 2009
Less is More: Nystr÷m Computational Regularization.
A Rudi, R Camoriano, L Rosasco
NIPS, 1657-1665, 2015
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
Generalization Properties of Learning with Random Features.
A Rudi, L Rosasco
NIPS, 3215-3225, 2017
Iterative projection methods for structured sparsity regularization
L Rosasco, A Verri, M Santoro, S Mosci, S Villa
On learning with integral operators.
L Rosasco, M Belkin, E De Vito
Journal of Machine Learning Research 11 (2), 2010
Model selection for regularized least-squares algorithm in learning theory
E De Vito, A Caponnetto, L Rosasco
Foundations of Computational Mathematics 5 (1), 59-85, 2005
Spectral algorithms for supervised learning
LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri
Neural Computation 20 (7), 1873-1897, 2008
Falkon: An optimal large scale kernel method
A Rudi, L Carratino, L Rosasco
arXiv preprint arXiv:1705.10958, 2017
Convergence of stochastic proximal gradient algorithm
L Rosasco, S Villa, BC Vũ
arXiv preprint arXiv:1403.5074, 2014
Some properties of regularized kernel methods
E De Vito, L Rosasco, A Caponnetto, M Piana, A Verri
The Journal of Machine Learning Research 5, 1363-1390, 2004
Theory of deep learning III: explaining the non-overfitting puzzle
T Poggio, K Kawaguchi, Q Liao, B Miranda, L Rosasco, X Boix, J Hidary, ...
arXiv preprint arXiv:1801.00173, 2017
A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients
P Fardin, A Barla, S Mosci, L Rosasco, A Verri, R Versteeg, HN Caron, ...
Molecular cancer 9 (1), 1-15, 2010
On invariance and selectivity in representation learning
F Anselmi, L Rosasco, T Poggio
Information and Inference: A Journal of the IMA 5 (2), 134-158, 2016
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