Gabor Lugosi

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Luc DevroyeMcGill UniversityVerified email at cs.mcgill.ca
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoVerified email at unimi.it
Stephane BoucheronProfessor mathematics, Université Paris Cité (ex 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 VayatisFull Professor, Centre Borelli, Department of Mathematics, ENS Paris-SaclayVerified email at ens-paris-saclay.fr
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Gergely NeuArtificial Intelligence and Machine Learning group, Universitat Pompeu FabraVerified email at upf.edu
Sebastien BubeckVP AI and Distinguished Scientist, MicrosoftVerified email at microsoft.com
Roberto Imbuzeiro OliveiraProfessor, IMPAVerified email at impa.br
Nicolas BroutinSorbonne UniversitéVerified email at sorbonne-universite.fr
Louigi Addario-BerryProfessor of Mathematics, McGill UniversityVerified email at mcgill.ca
Adam KrzyzakConcordia UniversityVerified email at cs.concordia.ca
Frederic UdinaProfessor of statistics. Univ. Pompeu Fabra. Dept Economics & BusinessVerified email at upf.edu
Gérard BiauProfessor, Sorbonne University, ParisVerified email at sorbonne-universite.fr
Christian BrownleesAssociate Professor, Universitat Pompeu FabraVerified email at upf.edu
Ulrike von LuxburgUniversity of TübingenVerified email at informatik.uni-tuebingen.de
Ery Arias-CastroProfessor of Mathematics, University of California, San DiegoVerified email at ucsd.edu
György OttucsákVerified email at cs.bme.hu
Ricardo CaoDepartment of Mathematics, Group MODES, CITIC, Universidade da Coruña, SpainVerified email at udc.es

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	5257	2013
Prediction, learning, and games N Cesa-Bianchi, G Lugosi Cambridge university press, 2006	4988	2006
Concentration inequalities S Boucheron, G Lugosi, P Massart Summer school on machine learning, 2013	4444*	2013
Combinatorial methods in density estimation L Devroye, G Lugosi Springer Science & Business Media, 2001	1045	2001
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	900	2020
Theory of classification: A survey of some recent advances S Boucheron, O Bousquet, G Lugosi ESAIM: probability and statistics 9, 323-375, 2005	852	2005
Introduction to statistical learning theory O Bousquet, S Boucheron, G Lugosi Summer school on machine learning, 169-207, 2003	849	2003
Consistency of random forests and other averaging classifiers. G Biau, L Devroye, G Lugosi Journal of Machine Learning Research 9 (9), 2008	801	2008
Combinatorial bandits N Cesa-Bianchi, G Lugosi Journal of Computer and System Sciences 78 (5), 1404-1422, 2012	520	2012
Model selection and error estimation PL Bartlett, S Boucheron, G Lugosi Machine Learning 48, 85-113, 2002	483	2002
Ranking and Empirical Minimization of U-statistics S Clémençon, G Lugosi, N Vayatis	439	2008
On the strong universal consistency of nearest neighbor regression function estimates L Devroye, L Gyorfi, A Krzyzak, G Lugosi The annals of Statistics 22 (3), 1371-1385, 1994	413	1994
Bandits with heavy tail S Bubeck, N Cesa-Bianchi, G Lugosi IEEE Transactions on Information Theory 59 (11), 7711-7717, 2013	322	2013
On the Bayes-risk consistency of regularized boosting methods G Lugosi, N Vayatis The Annals of statistics 32 (1), 30-55, 2004	295	2004
Concentration inequalities using the entropy method S Boucheron, G Lugosi, P Massart The Annals of Probability 31 (3), 1583-1614, 2003	282	2003
A sharp concentration inequality with applications S Boucheron, G Lugosi, P Massart Random Structures & Algorithms 16 (3), 277-292, 2000	266	2000
Learning pattern classification-a survey SR Kulkarni, G Lugosi, SS Venkatesh IEEE Transactions on Information Theory 44 (6), 2178-2206, 1998	257	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	255	1996
Regret in online combinatorial optimization JY Audibert, S Bubeck, G Lugosi Mathematics of Operations Research 39 (1), 31-45, 2014	250	2014
Mean estimation and regression under heavy-tailed distributions: A survey G Lugosi, S Mendelson Foundations of Computational Mathematics 19 (5), 1145-1190, 2019	244	2019

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