Lorenzo Rosasco
Lorenzo Rosasco
MaLGa Machine Learning Genoa Center - UniversitÓ degli Studi di Genova
Verified email at - 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
Foundations and Trends« in Machine Learning 4 (3), 195-266, 2012
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
Are loss functions all the same?
L Rosasco, E De Vito, A Caponnetto, M Piana, A Verri
Neural computation 16 (5), 1063-1076, 2004
Generalization properties of learning with random features
A Rudi, L Rosasco
Advances in neural information processing systems 30, 2017
Elastic-net regularization in learning theory
C De Mol, E De Vito, L Rosasco
Journal of Complexity 25 (2), 201-230, 2009
On regularization algorithms in learning theory
F Bauer, S Pereverzev, L Rosasco
Journal of complexity 23 (1), 52-72, 2007
Less is more: Nystr÷m computational regularization
A Rudi, R Camoriano, L Rosasco
Advances in neural information processing systems 28, 2015
On Learning with Integral Operators.
L Rosasco, M Belkin, E De Vito
Journal of Machine Learning Research 11 (2), 2010
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
Iterative projection methods for structured sparsity regularization
L Rosasco, A Verri, M Santoro, S Mosci, S Villa
Falkon: An optimal large scale kernel method
A Rudi, L Carratino, L Rosasco
Advances in neural information processing systems 30, 2017
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
Spectral algorithms for supervised learning
LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri
Neural Computation 20 (7), 1873-1897, 2008
Convergence of stochastic proximal gradient algorithm
L Rosasco, S Villa, BC Vũ
Applied Mathematics & Optimization 82, 891-917, 2020
Unsupervised learning of invariant representations
F Anselmi, JZ Leibo, L Rosasco, J Mutch, A Tacchetti, T Poggio
Theoretical Computer Science 633, 112-121, 2016
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
Optimal Learning for Multi-pass Stochastic Gradient Methods
J Lin, L Rosasco
Advances in Neural Information Processing Systems, 4556-4564, 2016
Kernel methods through the roof: handling billions of points efficiently
G Meanti, L Carratino, L Rosasco, A Rudi
Advances in Neural Information Processing Systems 33, 14410-14422, 2020
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