Lorenzo Rosasco

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITPatvirtintas el. paštas ai.mit.edu
Ernesto De VitoMaLGa Machine Learning Genoa Center - Università di GenovaPatvirtintas el. paštas unige.it
silvia villaMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaPatvirtintas el. paštas unige.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaPatvirtintas el. paštas unige.it
Alessandro RudiINRIA - École Normale SupérieurePatvirtintas el. paštas inria.fr
Carlo CilibertoUniversity College LondonPatvirtintas el. paštas ucl.ac.uk
Lorenzo NataleTenured Senior Scientist, Istituto Italiano di TecnologiaPatvirtintas el. paštas iit.it
Raffaello CamorianoAssistant Professor, Politecnico di Torino; Affiliated Researcher, Istituto Italiano di TecnologiaPatvirtintas el. paštas polito.it
Francesca OdoneMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaPatvirtintas el. paštas unige.it
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliatePatvirtintas el. paštas units.it
Giulia PasqualeChief Technician, Istituto Italiano di TecnologiaPatvirtintas el. paštas iit.it
Matteo SantoroCamelot Biomedical Systems SrlPatvirtintas el. paštas camelotbio.com
Annalisa BarlaAssociate Professor at Computer Science Department, University of Genoa, ItalyPatvirtintas el. paštas unige.it
Andrea TacchettiGoogle DeepMindPatvirtintas el. paštas google.com
Joel Z LeiboResearch scientistPatvirtintas el. paštas google.com
Bang Cong Vu3NLab, BeRC, Leuven, BelgiumPatvirtintas el. paštas qplox.com
Hrushikesh MhaskarDistinguished Research Professor, Claremont Graduate UniversityPatvirtintas el. paštas cgu.edu
Sergei PereverzevProfessor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy ofPatvirtintas el. paštas oeaw.ac.at
Georgios EvangelopoulosStaff Research Scientist, GooglePatvirtintas el. paštas google.com
Giorgio MettaScientific Director, Istituto Italiano di TecnologiaPatvirtintas el. paštas iit.it

Stebėti

Lorenzo Rosasco

MaLGa Machine Learning Genoa Center - Università degli Studi di Genova

Patvirtintas el. paštas unige.it - Pagrindinis puslapis

learning theory machine learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Holographic embeddings of knowledge graphs M Nickel, L Rosasco, T Poggio Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	1539	2016
On early stopping in gradient descent learning Y Yao, L Rosasco, A Caponnetto Constructive approximation 26 (2), 289-315, 2007	1344	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	1142	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	761	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	721	2004
Generalization properties of learning with random features A Rudi, L Rosasco Advances in neural information processing systems 30, 2017	413	2017
Elastic-net regularization in learning theory C De Mol, E De Vito, L Rosasco Journal of Complexity 25 (2), 201-230, 2009	384	2009
On regularization algorithms in learning theory F Bauer, S Pereverzev, L Rosasco Journal of complexity 23 (1), 52-72, 2007	364	2007
Less is more: Nyström computational regularization A Rudi, R Camoriano, L Rosasco Advances in neural information processing systems 28, 2015	362	2015
On Learning with Integral Operators. L Rosasco, M Belkin, E De Vito Journal of Machine Learning Research 11 (2), 2010	307	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	299	2005
Falkon: An optimal large scale kernel method A Rudi, L Carratino, L Rosasco Advances in neural information processing systems 30, 2017	249	2017
Iterative projection methods for structured sparsity regularization L Rosasco, A Verri, M Santoro, S Mosci, S Villa	229*	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	215	2005
Spectral algorithms for supervised learning LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri Neural Computation 20 (7), 1873-1897, 2008	189	2008
Convergence of stochastic proximal gradient algorithm L Rosasco, S Villa, BC Vũ Applied Mathematics & Optimization 82, 891-917, 2020	171	2020
Optimal Learning for Multi-pass Stochastic Gradient Methods J Lin, L Rosasco Advances in Neural Information Processing Systems, 4556-4564, 2016	140*	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	139	2017
Kernel methods through the roof: handling billions of points efficiently G Meanti, L Carratino, L Rosasco, A Rudi Advances in Neural Information Processing Systems 33, 14410-14422, 2020	136	2020
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	125	2016

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