Lorenzo Rosasco 个人学术档案

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	总计	2019 年至今
引用	13701	9451
h 指数	53	42
i10 指数	144	114

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MIT在 ai.mit.edu 的电子邮件经过验证
Ernesto De VitoMaLGa Machine Learning Genoa Center - Università di Genova在 unige.it 的电子邮件经过验证
silvia villaMaLGa Machine Learning Genoa Center - Università degli Studi di Genova在 dima.unige.it 的电子邮件经过验证
alessandro verriprofessor of computer science, dibris, università degli studi di genova在 unige.it 的电子邮件经过验证
Alessandro RudiINRIA - École Normale Supérieure在 inria.fr 的电子邮件经过验证
Carlo CilibertoUniversity College London在 ucl.ac.uk 的电子邮件经过验证
Lorenzo NataleTenured Senior Scientist, Istituto Italiano di Tecnologia在 iit.it 的电子邮件经过验证
Raffaello CamorianoAssistant Professor, Politecnico di Torino; Affiliated Researcher, Istituto Italiano di Tecnologia在 polito.it 的电子邮件经过验证
Francesca OdoneMaLGa Machine Learning Genoa Center - Università degli Studi di Genova在 unige.it 的电子邮件经过验证
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliate在 units.it 的电子邮件经过验证
Giulia PasqualeChief Technician, Istituto Italiano di Tecnologia在 iit.it 的电子邮件经过验证
Matteo SantoroCamelot Biomedical Systems Srl在 camelotbio.com 的电子邮件经过验证
Annalisa BarlaAssociate Professor at Computer Science Department, University of Genoa, Italy在 unige.it 的电子邮件经过验证
Andrea TacchettiGoogle DeepMind在 google.com 的电子邮件经过验证
Joel Z LeiboResearch scientist在 google.com 的电子邮件经过验证
Bang Cong Vu3NLab, BeRC, Leuven, Belgium在 qplox.com 的电子邮件经过验证
Hrushikesh MhaskarClaremont Graduate University在 cgu.edu 的电子邮件经过验证
Georgios EvangelopoulosStaff Research Scientist, Google在 google.com 的电子邮件经过验证
Sergei PereverzevProfessor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of在 oeaw.ac.at 的电子邮件经过验证
Giorgio MettaScientific Director, Istituto Italiano di Tecnologia在 iit.it 的电子邮件经过验证

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Lorenzo Rosasco

MaLGa Machine Learning Genoa Center - Università degli Studi di Genova

在 unige.it 的电子邮件经过验证 - 首页

learning theory machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Holographic embeddings of knowledge graphs M Nickel, L Rosasco, T Poggio Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	1418	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	1019	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	348	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	224*	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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