Lorenzo Rosasco

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	All	Since 2016
Citations	7346	5514
h-index	42	36
i10-index	98	80

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Co-authors

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 CilibertoImperial College LondonVerified email at imperial.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
Matteo SantoroCamelot Biomedical Systems SrlVerified email at camelotbio.com
Annalisa BarlaAssociate Professor at Computer Science Department, University of Genoa, ItalyVerified email at unige.it
Raffaello CamorianoPostdoctoral Researcher (LCSL - IIT@MIT), Istituto Italiano di TecnologiaVerified email at iit.it
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


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Holographic embeddings of knowledge graphs M Nickel, L Rosasco, T Poggio Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	602	2016
On early stopping in gradient descent learning Y Yao, L Rosasco, A Caponnetto Constructive Approximation 26 (2), 289-315, 2007	585	2007
Kernels for vector-valued functions: A review MA Alvarez, L Rosasco, ND Lawrence arXiv preprint arXiv:1106.6251, 2011	533	2011
Are loss functions all the same? L Rosasco, ED Vito, A Caponnetto, M Piana, A Verri Neural Computation 16 (5), 1063-1076, 2004	373	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	277	2017
On regularization algorithms in learning theory F Bauer, S Pereverzev, L Rosasco Journal of complexity 23 (1), 52-72, 2007	233	2007
Elastic-net regularization in learning theory C De Mol, E De Vito, L Rosasco Journal of Complexity 25 (2), 201-230, 2009	207	2009
Learning from examples as an inverse problem ED Vito, L Rosasco, A Caponnetto, UD Giovannini, F Odone Journal of Machine Learning Research 6 (May), 883-904, 2005	205	2005
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	192	2005
Iterative projection methods for structured sparsity regularization L Rosasco, A Verri, M Santoro, S Mosci, S Villa	182*	2009
Less is more: Nyström computational regularization A Rudi, R Camoriano, L Rosasco Advances in Neural Information Processing Systems 28, 1657-1665, 2015	170	2015
On learning with integral operators. L Rosasco, M Belkin, E De Vito Journal of Machine Learning Research 11 (2), 2010	168	2010
Generalization properties of learning with random features A Rudi, L Rosasco Advances in neural information processing systems, 3215-3225, 2017	147	2017
Spectral algorithms for supervised learning LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri Neural Computation 20 (7), 1873-1897, 2008	132	2008
Some properties of regularized kernel methods ED Vito, L Rosasco, A Caponnetto, M Piana, A Verri Journal of Machine Learning Research 5 (Oct), 1363-1390, 2004	99	2004
Convergence of stochastic proximal gradient algorithm L Rosasco, S Villa, BC Vũ Applied Mathematics & Optimization, 1-27, 2019	96	2019
Unsupervised learning of invariant representations F Anselmi, JZ Leibo, L Rosasco, J Mutch, A Tacchetti, T Poggio Theoretical Computer Science 633, 112-121, 2016	92	2016
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	82	2010
Falkon: An optimal large scale kernel method A Rudi, L Carratino, L Rosasco Advances in neural information processing systems, 3888-3898, 2017	79	2017
Unsupervised learning of invariant representations in hierarchical architectures F Anselmi, JZ Leibo, L Rosasco, J Mutch, A Tacchetti, T Poggio arXiv preprint arXiv:1311.4158, 2013	75	2013

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