Lorenzo Rosasco

Citata da

	Tutte	Dal 2019
Citazioni	14279	10008
Indice H	55	45
i10-index	149	118

2000

1000

500

1500

200620072008200920102011201220132014201520162017201820192020202120222023202439 37 60 120 154 161 176 236 323 373 566 829 1064 1276 1616 1747 1799 1925 1633

Accesso pubblico

Visualizza tutto

115 articoli

0 articoli

Disponibili

Non disponibili

In base ai mandati di finanziamento

Coautori

TOMASO POGGIOMcDermott Professor in Brain Sciences, MITEmail verificata su ai.mit.edu
Ernesto De VitoMaLGa Machine Learning Genoa Center - Università di GenovaEmail verificata su unige.it
silvia villaMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaEmail verificata su unige.it
alessandro verriprofessor of computer science, dibris, università degli studi di genovaEmail verificata su unige.it
Alessandro RudiINRIA - École Normale SupérieureEmail verificata su inria.fr
Carlo CilibertoUniversity College LondonEmail verificata su ucl.ac.uk
Lorenzo NataleTenured Senior Scientist, Istituto Italiano di TecnologiaEmail verificata su iit.it
Raffaello CamorianoAssistant Professor, Politecnico di Torino; Affiliated Researcher, Istituto Italiano di TecnologiaEmail verificata su polito.it
Francesca OdoneMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaEmail verificata su unige.it
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliateEmail verificata su units.it
Giulia PasqualeChief Technician, Istituto Italiano di TecnologiaEmail verificata su iit.it
Matteo SantoroCamelot Biomedical Systems SrlEmail verificata su camelotbio.com
Annalisa BarlaAssociate Professor at Computer Science Department, University of Genoa, ItalyEmail verificata su unige.it
Andrea TacchettiGoogle DeepMindEmail verificata su google.com
Joel Z LeiboResearch scientistEmail verificata su google.com
Bang Cong Vu3NLab, BeRC, Leuven, BelgiumEmail verificata su qplox.com
Hrushikesh MhaskarClaremont Graduate UniversityEmail verificata su cgu.edu
Sergei PereverzevProfessor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy ofEmail verificata su oeaw.ac.at
Georgios EvangelopoulosStaff Research Scientist, GoogleEmail verificata su google.com
Giorgio MettaScientific Director, Istituto Italiano di TecnologiaEmail verificata su iit.it

Segui

Lorenzo Rosasco

MaLGa Machine Learning Genoa Center - Università degli Studi di Genova

Email verificata su unige.it - Home page

learning theory machine learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Holographic embeddings of knowledge graphs M Nickel, L Rosasco, T Poggio Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	1472	2016
On early stopping in gradient descent learning Y Yao, L Rosasco, A Caponnetto Constructive Approximation 26 (2), 289-315, 2007	1266	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	1067	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	720	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	699	2004
Generalization properties of learning with random features A Rudi, L Rosasco Advances in neural information processing systems 30, 2017	380	2017
Elastic-net regularization in learning theory C De Mol, E De Vito, L Rosasco Journal of Complexity 25 (2), 201-230, 2009	364	2009
On regularization algorithms in learning theory F Bauer, S Pereverzev, L Rosasco Journal of complexity 23 (1), 52-72, 2007	348	2007
Less is more: Nyström computational regularization A Rudi, R Camoriano, L Rosasco Advances in neural information processing systems 28, 2015	347	2015
On Learning with Integral Operators. L Rosasco, M Belkin, E De Vito Journal of Machine Learning Research 11 (2), 2010	294	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	290	2005
Falkon: An optimal large scale kernel method A Rudi, L Carratino, L Rosasco Advances in neural information processing systems 30, 2017	233	2017
Iterative projection methods for structured sparsity regularization L Rosasco, A Verri, M Santoro, S Mosci, S Villa	228*	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	213	2005
Spectral algorithms for supervised learning LL Gerfo, L Rosasco, F Odone, ED Vito, A Verri Neural Computation 20 (7), 1873-1897, 2008	179	2008
Convergence of stochastic proximal gradient algorithm L Rosasco, S Villa, BC Vũ Applied Mathematics & Optimization 82, 891-917, 2020	169	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	149	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	133	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	126	2020
Optimal Learning for Multi-pass Stochastic Gradient Methods J Lin, L Rosasco Advances in Neural Information Processing Systems, 4556-4564, 2016	126*	2016

Il sistema al momento non può eseguire l'operazione. Riprova più tardi.

Articoli 1–20

Citazioni per anno

Citazioni duplicate

Citazioni unite

Aggiungi coautoriCoautori

Segui

Citata da

Coautori