Lorenzo Rosasco

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Citations	8121	6279
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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Ernesto De VitoMaLGa Machine Learning Genoa Center - Università di GenovaVerified email at unige.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaVerified email at unige.it
silvia villaMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at dima.unige.it
Alessandro RudiINRIA - École Normale SupérieureVerified email at inria.fr
Carlo CilibertoUniversity College LondonVerified email at ucl.ac.uk
Lorenzo NataleTenured Senior Scientist, Istituto Italiano di TecnologiaVerified email at iit.it
Francesca OdoneMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at unige.it
Raffaello CamorianoPostdoctoral Researcher (LCSL - IIT@MIT), Istituto Italiano di TecnologiaVerified email at iit.it
Annalisa BarlaAssociate Professor at Computer Science Department, University of Genoa, ItalyVerified email at unige.it
Matteo SantoroCamelot Biomedical Systems SrlVerified email at camelotbio.com
Giulia PasqualeSenior TechnicianVerified email at iit.it
Andrea TacchettiResearch Scientist - DeepMindVerified email at google.com
Joel Z LeiboResearch scientistVerified email at google.com
Bang Cong VuVerified email at vnu.edu.vn
Varesio LuigiIstituto Giannina GasliniVerified email at ospedale-gaslini.ge.it
Hrushikesh MhaskarClaremont Graduate UniversityVerified email at cgu.edu
Sergei PereverzevProfessor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy ofVerified email at oeaw.ac.at
Georgios EvangelopoulosResearch Scientist | X, the moonshot factoryVerified email at google.com
Giorgio MettaScientific Director, Istituto Italiano di TecnologiaVerified email at iit.it

Lorenzo Rosasco

MaLGa Machine Learning Genoa Center - Università degli Studi di Genova

Verified email at mit.edu - Homepage

machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Holographic embeddings of knowledge graphs M Nickel, L Rosasco, T Poggio Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	695	2016
On early stopping in gradient descent learning Y Yao, L Rosasco, A Caponnetto Constructive Approximation 26 (2), 289-315, 2007	644	2007
Kernels for vector-valued functions: A review MA Alvarez, L Rosasco, ND Lawrence arXiv preprint arXiv:1106.6251, 2011	596	2011
Are loss functions all the same? L Rosasco, ED Vito, A Caponnetto, M Piana, A Verri Neural computation 16 (5), 1063-1076, 2004	417	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	342	2017
On regularization algorithms in learning theory F Bauer, S Pereverzev, L Rosasco Journal of complexity 23 (1), 52-72, 2007	243	2007
Elastic-net regularization in learning theory C De Mol, E De Vito, L Rosasco Journal of Complexity 25 (2), 201-230, 2009	222	2009
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	213	2005
Less is More: Nyström Computational Regularization. A Rudi, R Camoriano, L Rosasco NIPS, 1657-1665, 2015	197	2015
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	194	2005
Iterative projection methods for structured sparsity regularization L Rosasco, A Verri, M Santoro, S Mosci, S Villa	193*	2009
On learning with integral operators. L Rosasco, M Belkin, E De Vito Journal of Machine Learning Research 11 (2), 2010	187	2010
Generalization Properties of Learning with Random Features. A Rudi, L Rosasco NIPS, 3215-3225, 2017	158	2017
Spectral algorithms for supervised learning LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri Neural Computation 20 (7), 1873-1897, 2008	137	2008
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	106	2004
Convergence of stochastic proximal gradient algorithm L Rosasco, S Villa, BC Vũ arXiv preprint arXiv:1403.5074, 2014	99*	2014
Falkon: An optimal large scale kernel method A Rudi, L Carratino, L Rosasco arXiv preprint arXiv:1705.10958, 2017	98	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	87	2010
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	81	2017
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	78	2016

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