Lorenzo Rosasco

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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
Raffaello CamorianoSenior Postdoctoral Researcher, Politecnico di TorinoVerified email at polito.it
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliateVerified email at units.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
Giulia PasqualeSenior TechnicianVerified email at iit.it
Annalisa BarlaAssociate Professor at Computer Science Department, University of Genoa, ItalyVerified email at unige.it
Andrea TacchettiResearch Scientist - DeepMindVerified email at google.com
Bang Cong Vu3NLab, BeRC, Leuven, BelgiumVerified email at qplox.com
Joel Z LeiboResearch scientistVerified email at google.com
Hrushikesh MhaskarClaremont Graduate UniversityVerified email at cgu.edu
Varesio LuigiIstituto Giannina GasliniVerified email at ospedale-gaslini.ge.it
Georgios EvangelopoulosX, the moonshot factoryVerified email at google.com
Sergei PereverzevProfessor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy ofVerified email at oeaw.ac.at

Lorenzo Rosasco

MaLGa Machine Learning Genoa Center - Università degli Studi di Genova

Verified email at unige.it - Homepage

learning theory 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	1131	2016
On early stopping in gradient descent learning Y Yao, L Rosasco, A Caponnetto Constructive Approximation 26 (2), 289-315, 2007	958	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	833	2012
Are loss functions all the same? L Rosasco, E De Vito, A Caponnetto, M Piana, A Verri Neural computation 16 (5), 1063-1076, 2004	572	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	557	2017
On regularization algorithms in learning theory F Bauer, S Pereverzev, L Rosasco Journal of complexity 23 (1), 52-72, 2007	279	2007
Elastic-net regularization in learning theory C De Mol, E De Vito, L Rosasco Journal of Complexity 25 (2), 201-230, 2009	275	2009
Generalization properties of learning with random features A Rudi, L Rosasco Advances in neural information processing systems 30, 2017	274	2017
Less is more: Nyström computational regularization A Rudi, R Camoriano, L Rosasco Advances in Neural Information Processing Systems 28, 2015	272	2015
On learning with integral operators. L Rosasco, M Belkin, E De Vito Journal of Machine Learning Research 11 (2), 2010	251	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	246	2005
Iterative projection methods for structured sparsity regularization L Rosasco, A Verri, M Santoro, S Mosci, S Villa	215*	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	203	2005
Falkon: An optimal large scale kernel method A Rudi, L Carratino, L Rosasco Advances in neural information processing systems 30, 2017	164	2017
Spectral algorithms for supervised learning LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri Neural Computation 20 (7), 1873-1897, 2008	153	2008
Convergence of stochastic proximal gradient algorithm L Rosasco, S Villa, BC Vũ arXiv preprint arXiv:1403.5074, 2014	142*	2014
Unsupervised learning of invariant representations F Anselmi, JZ Leibo, L Rosasco, J Mutch, A Tacchetti, T Poggio Theoretical Computer Science 633, 112-121, 2016	126	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	117	2017
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	113	2004
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	102	2016

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