Gabor Lugosi

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	All	Since 2016
Citations	21979	9499
h-index	59	38
i10-index	119	83

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Luc DevroyeMcGill UniversityVerified email at cs.mcgill.ca
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoVerified email at unimi.it
Stephane BoucheronProfessor mathematics, Université de Paris (Paris-Diderot)Verified email at u-paris.fr
László GyörfiProfessor of Information Theory, Budapest University of Technology and EconomicsVerified email at cs.bme.hu
Olivier BousquetGoogleVerified email at m4x.org
Nicolas VayatisProfesseur des universités, ENS Paris-SaclayVerified email at ens-paris-saclay.fr
Andras GyorgyDeepMindVerified email at ualberta.ca
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Sebastien BubeckSr Principal Research Manager, ML Foundations group, Microsoft ResearchVerified email at microsoft.com
Gergely NeuArtificial Intelligence and Machine Learning group, Universitat Pompeu FabraVerified email at upf.edu
Adam KrzyzakConcordia UniversityVerified email at cs.concordia.ca
Nicolas BroutinSorbonne UniversitéVerified email at upmc.fr
Frederic UdinaProfessor of statistics. Univ. Pompeu Fabra. Dept Economics & BusinessVerified email at upf.edu
Gérard BiauProfessor, Sorbonne University, ParisVerified email at upmc.fr
Roberto Imbuzeiro OliveiraProfessor, IMPAVerified email at impa.br
Ery Arias-CastroProfessor of Mathematics, University of California, San DiegoVerified email at ucsd.edu
Fabrizio GermanoUniversitat Pompeu Fabra and Barcelona GSEVerified email at upf.edu
György OttucsákVerified email at cs.bme.hu
Ricardo CaoDepartment of Mathematics, Group MODES, CITIC & ITMATI, Universidade da Coruña, SpainVerified email at udc.es
Christian BrownleesAssociate Professor, Universitat Pompeu FabraVerified email at upf.edu

Gabor Lugosi

ICREA and Universitat Pompeu Fabra

Verified email at upf.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A probabilistic theory of pattern recognition L Devroye, L Györfi, G Lugosi Springer Science & Business Media, 2013	4475	2013
Prediction, learning, and games N Cesa-Bianchi, G Lugosi Cambridge university press, 2006	3459	2006
Concentration Inequalities: A Nonasymptotic Theory of Independence S Boucheron, G Lugosi, P Massart Oxford University Press, 2013	2334	2013
Combinatorial methods in density estimation L Devroye, G Lugosi Springer Science & Business Media, 2012	830	2012
Theory of classification: A survey of some recent advances S Boucheron, O Bousquet, G Lugosi ESAIM: probability and statistics 9, 323-375, 2005	662	2005
Introduction to statistical learning theory O Bousquet, S Boucheron, G Lugosi Summer School on Machine Learning, 169-207, 2003	580	2003
Consistency of random forests and other averaging classifiers. G Biau, L Devroye, G Lugosi Journal of Machine Learning Research 9 (9), 2008	543	2008
Model selection and error estimation PL Bartlett, S Boucheron, G Lugosi Machine Learning 48 (1), 85-113, 2002	404	2002
Combinatorial bandits N Cesa-Bianchi, G Lugosi Journal of Computer and System Sciences 78 (5), 1404-1422, 2012	337	2012
Ranking and empirical minimization of U-statistics S Clémençon, G Lugosi, N Vayatis Annals of Statistics 36 (2), 844-874, 2008	322	2008
Concentration inequalities S Boucheron, G Lugosi, O Bousquet Summer school on machine learning, 208-240, 2003	307*	2003
On the strong universal consistency of nearest neighbor regression function estimates L Devroye, L Gyorfi, A Krzyzak, G Lugosi The Annals of Statistics, 1371-1385, 1994	265	1994
On the Bayes-risk consistency of regularized boosting methods G Lugosi, N Vayatis The Annals of statistics 32 (1), 30-55, 2004	258	2004
Concentration inequalities using the entropy method S Boucheron, G Lugosi, P Massart Annals of probability 31 (3), 1583-1614, 2003	250	2003
A sharp concentration inequality with applications S Boucheron, G Lugosi, P Massart Random Structures & Algorithms 16 (3), 277-292, 2000	237	2000
Learning pattern classification-a survey SR Kulkarni, G Lugosi, SS Venkatesh IEEE Transactions on Information Theory 44 (6), 2178-2206, 1998	217	1998
Consistency of data-driven histogram methods for density estimation and classification G Lugosi, A Nobel Annals of Statistics 24 (2), 687-706, 1996	214	1996
Regret in online combinatorial optimization JY Audibert, S Bubeck, G Lugosi Mathematics of Operations Research 39 (1), 31-45, 2014	185	2014
Nonparametric estimation via empirical risk minimization G Lugosi, K Zeger IEEE Transactions on information theory 41 (3), 677-687, 1995	171	1995
Moment inequalities for functions of independent random variables S Boucheron, O Bousquet, G Lugosi, P Massart Annals of Probability 33 (2), 514-560, 2005	166	2005

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