Lorenzo Rosasco

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Citations	13713	9458
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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
silvia villaMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at dima.unige.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaVerified email at 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 CamorianoAssistant Professor, Politecnico di Torino; Affiliated Researcher, Istituto Italiano di TecnologiaVerified email at polito.it
Francesca OdoneMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at unige.it
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliateVerified email at units.it
Giulia PasqualeChief Technician, Istituto Italiano di TecnologiaVerified email at iit.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
Andrea TacchettiGoogle DeepMindVerified email at google.com
Joel Z LeiboResearch scientistVerified email at google.com
Bang Cong Vu3NLab, BeRC, Leuven, BelgiumVerified email at qplox.com
Hrushikesh MhaskarClaremont Graduate UniversityVerified email at cgu.edu
Georgios EvangelopoulosStaff Research Scientist, GoogleVerified email at google.com
Sergei PereverzevProfessor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy ofVerified email at oeaw.ac.at
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 unige.it - Homepage

learning theory 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	1420	2016
On early stopping in gradient descent learning Y Yao, L Rosasco, A Caponnetto Constructive Approximation 26 (2), 289-315, 2007	1211	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	1018	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	696	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	667	2004
Generalization properties of learning with random features A Rudi, L Rosasco Advances in neural information processing systems 30, 2017	361	2017
Elastic-net regularization in learning theory C De Mol, E De Vito, L Rosasco Journal of Complexity 25 (2), 201-230, 2009	350	2009
On regularization algorithms in learning theory F Bauer, S Pereverzev, L Rosasco Journal of complexity 23 (1), 52-72, 2007	337	2007
Less is more: Nyström computational regularization A Rudi, R Camoriano, L Rosasco Advances in neural information processing systems 28, 2015	333	2015
On Learning with Integral Operators. L Rosasco, M Belkin, E De Vito Journal of Machine Learning Research 11 (2), 2010	288	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	282	2005
Iterative projection methods for structured sparsity regularization L Rosasco, A Verri, M Santoro, S Mosci, S Villa	225*	2009
Falkon: An optimal large scale kernel method A Rudi, L Carratino, L Rosasco Advances in neural information processing systems 30, 2017	218	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	211	2005
Spectral algorithms for supervised learning LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri Neural Computation 20 (7), 1873-1897, 2008	177	2008
Convergence of stochastic proximal gradient algorithm L Rosasco, S Villa, BC Vũ Applied Mathematics & Optimization 82, 891-917, 2020	167	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	144	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	126	2017
Optimal Learning for Multi-pass Stochastic Gradient Methods J Lin, L Rosasco Advances in Neural Information Processing Systems, 4556-4564, 2016	125*	2016
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	117	2016

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