Следене
Lorenzo Rosasco
Lorenzo Rosasco
MaLGa Machine Learning Genoa Center - Università degli Studi di Genova
Потвърден имейл адрес: unige.it - Начална страница
Заглавие
Позовавания
Позовавания
Година
Holographic embeddings of knowledge graphs
M Nickel, L Rosasco, T Poggio
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
12992016
On early stopping in gradient descent learning
Y Yao, L Rosasco, A Caponnetto
Constructive Approximation 26, 289-315, 2007
10912007
Kernels for vector-valued functions: A review
MA Alvarez, L Rosasco, ND Lawrence
Foundations and Trends® in Machine Learning 4 (3), 195-266, 2012
9332012
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
6402017
Are loss functions all the same?
L Rosasco, E De Vito, A Caponnetto, M Piana, A Verri
Neural computation 16 (5), 1063-1076, 2004
6272004
Generalization properties of learning with random features
A Rudi, L Rosasco
Advances in neural information processing systems 30, 2017
3182017
Elastic-net regularization in learning theory
C De Mol, E De Vito, L Rosasco
Journal of Complexity 25 (2), 201-230, 2009
3172009
On regularization algorithms in learning theory
F Bauer, S Pereverzev, L Rosasco
Journal of complexity 23 (1), 52-72, 2007
3012007
Less is more: Nyström computational regularization
A Rudi, R Camoriano, L Rosasco
Advances in Neural Information Processing Systems 28, 2015
2982015
On learning with integral operators.
L Rosasco, M Belkin, E De Vito
Journal of Machine Learning Research 11 (2), 2010
2692010
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
2642005
Iterative projection methods for structured sparsity regularization
L Rosasco, A Verri, M Santoro, S Mosci, S Villa
222*2009
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
2052005
Falkon: An optimal large scale kernel method
A Rudi, L Carratino, L Rosasco
Advances in neural information processing systems 30, 2017
1912017
Spectral algorithms for supervised learning
LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri
Neural Computation 20 (7), 1873-1897, 2008
1622008
Convergence of stochastic proximal gradient algorithm
L Rosasco, S Villa, BC Vũ
Applied Mathematics & Optimization 82, 891-917, 2020
1562020
Unsupervised learning of invariant representations
F Anselmi, JZ Leibo, L Rosasco, J Mutch, A Tacchetti, T Poggio
Theoretical Computer Science 633, 112-121, 2016
1382016
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
1212017
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
1152004
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
1132016
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