Gabor Lugosi

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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 sorbonne-universite.fr
Roberto Imbuzeiro OliveiraProfessor, IMPAVerified email at impa.br
Ery Arias-CastroProfessor of Mathematics, University of California, San DiegoVerified email at ucsd.edu
Ulrike von LuxburgUniversity of TübingenVerified email at informatik.uni-tuebingen.de
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	4702	2013
Prediction, learning, and games N Cesa-Bianchi, G Lugosi Cambridge university press, 2006	3765	2006
Concentration Inequalities: A Nonasymptotic Theory of Independence S Boucheron, G Lugosi, P Massart Oxford University Press, 2013	2729	2013
Combinatorial methods in density estimation L Devroye, G Lugosi Springer Science & Business Media, 2001	880	2001
Theory of classification: A survey of some recent advances S Boucheron, O Bousquet, G Lugosi ESAIM: probability and statistics 9, 323-375, 2005	699	2005
Introduction to statistical learning theory O Bousquet, S Boucheron, G Lugosi Summer school on machine learning, 169-207, 2003	644	2003
Consistency of random forests and other averaging classifiers. G Biau, L Devroye, G Lugosi Journal of Machine Learning Research 9 (9), 2008	588	2008
Model selection and error estimation PL Bartlett, S Boucheron, G Lugosi Machine Learning 48 (1), 85-113, 2002	418	2002
Combinatorial bandits N Cesa-Bianchi, G Lugosi Journal of Computer and System Sciences 78 (5), 1404-1422, 2012	378	2012
Concentration inequalities S Boucheron, G Lugosi, O Bousquet Summer School on Machine Learning, 208-240, 2003	376*	2003
Ranking and empirical minimization of U-statistics S Clémençon, G Lugosi, N Vayatis The Annals of Statistics 36 (2), 844-874, 2008	345	2008
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	294	1994
On the Bayes-risk consistency of regularized boosting methods G Lugosi, N Vayatis The Annals of statistics 32 (1), 30-55, 2004	272	2004
Concentration inequalities using the entropy method S Boucheron, G Lugosi, P Massart The Annals of Probability 31 (3), 1583-1614, 2003	260	2003
A sharp concentration inequality with applications S Boucheron, G Lugosi, P Massart Random Structures & Algorithms 16 (3), 277-292, 2000	241	2000
Learning pattern classification-a survey SR Kulkarni, G Lugosi, SS Venkatesh IEEE Transactions on Information Theory 44 (6), 2178-2206, 1998	228	1998
Consistency of data-driven histogram methods for density estimation and classification G Lugosi, A Nobel The Annals of Statistics 24 (2), 687-706, 1996	226	1996
Benign overfitting in linear regression PL Bartlett, PM Long, G Lugosi, A Tsigler Proceedings of the National Academy of Sciences 117 (48), 30063-30070, 2020	214	2020
Regret in online combinatorial optimization JY Audibert, S Bubeck, G Lugosi Mathematics of Operations Research 39 (1), 31-45, 2014	202	2014
Bandits with heavy tail S Bubeck, N Cesa-Bianchi, G Lugosi IEEE Transactions on Information Theory 59 (11), 7711-7717, 2013	183	2013

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