Gabor Lugosi

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Luc DevroyeMcGill UniversityEmail verificata su cs.mcgill.ca
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoEmail verificata su unimi.it
Stephane BoucheronProfessor mathematics, Université Paris Cité (ex Paris-Diderot)Email verificata su u-paris.fr
László GyörfiProfessor of Information Theory, Budapest University of Technology and EconomicsEmail verificata su cs.bme.hu
Olivier BousquetGoogleEmail verificata su m4x.org
Nicolas VayatisFull Professor, Centre Borelli, Department of Mathematics, ENS Paris-SaclayEmail verificata su ens-paris-saclay.fr
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Gergely NeuArtificial Intelligence and Machine Learning group, Universitat Pompeu FabraEmail verificata su upf.edu
Sebastien BubeckOpenAIEmail verificata su openai.com
Nicolas BroutinSorbonne UniversitéEmail verificata su sorbonne-universite.fr
Louigi Addario-BerryProfessor of Mathematics, McGill UniversityEmail verificata su mcgill.ca
Roberto Imbuzeiro OliveiraProfessor, IMPAEmail verificata su impa.br
Adam KrzyzakConcordia UniversityEmail verificata su cs.concordia.ca
Frederic UdinaProfessor of statistics. Univ. Pompeu Fabra. Dept Economics & BusinessEmail verificata su upf.edu
Gérard BiauProfessor, Sorbonne University, ParisEmail verificata su sorbonne-universite.fr
Christian BrownleesAssociate Professor, Universitat Pompeu FabraEmail verificata su upf.edu
Ulrike von LuxburgUniversity of TübingenEmail verificata su informatik.uni-tuebingen.de
Ery Arias-CastroProfessor of Mathematics, University of California, San DiegoEmail verificata su ucsd.edu
György OttucsákEmail verificata su cs.bme.hu
Ricardo CaoDepartment of Mathematics, Group MODES, CITIC, Universidade da Coruña, SpainEmail verificata su udc.es

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Gabor Lugosi

ICREA and Universitat Pompeu Fabra

Email verificata su upf.edu - Home page


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
A probabilistic theory of pattern recognition L Devroye, L Györfi, G Lugosi Springer Science & Business Media, 2013	5300	2013
Prediction, learning, and games N Cesa-Bianchi, G Lugosi Cambridge university press, 2006	5080	2006
Concentration inequalities S Boucheron, G Lugosi, P Massart Summer school on machine learning, 2013	4538*	2013
Combinatorial methods in density estimation L Devroye, G Lugosi Springer Science & Business Media, 2001	1053	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	946	2020
Introduction to statistical learning theory O Bousquet, S Boucheron, G Lugosi Summer school on machine learning, 169-207, 2003	863	2003
Theory of classification: A survey of some recent advances S Boucheron, O Bousquet, G Lugosi ESAIM: probability and statistics 9, 323-375, 2005	860	2005
Consistency of random forests and other averaging classifiers. G Biau, L Devroye, G Lugosi Journal of Machine Learning Research 9 (9), 2008	812	2008
Combinatorial bandits N Cesa-Bianchi, G Lugosi Journal of Computer and System Sciences 78 (5), 1404-1422, 2012	529	2012
Model selection and error estimation PL Bartlett, S Boucheron, G Lugosi Machine Learning 48, 85-113, 2002	488	2002
Ranking and Empirical Minimization of U-statistics S Clémençon, G Lugosi, N Vayatis	446	2008
On the strong universal consistency of nearest neighbor regression function estimates L Devroye, L Györfi, A Krzyżak, G Lugosi The annals of Statistics, 1371-1385, 1994	419	1994
Bandits with heavy tail S Bubeck, N Cesa-Bianchi, G Lugosi IEEE Transactions on Information Theory 59 (11), 7711-7717, 2013	334	2013
On the Bayes-risk consistency of regularized boosting methods G Lugosi, N Vayatis The Annals of statistics 32 (1), 30-55, 2004	297	2004
Concentration inequalities using the entropy method S Boucheron, G Lugosi, P Massart The Annals of Probability 31 (3), 1583-1614, 2003	285	2003
A sharp concentration inequality with applications S Boucheron, G Lugosi, P Massart Random Structures & Algorithms 16 (3), 277-292, 2000	270	2000
Mean estimation and regression under heavy-tailed distributions: A survey G Lugosi, S Mendelson Foundations of Computational Mathematics 19 (5), 1145-1190, 2019	260	2019
Learning pattern classification-a survey SR Kulkarni, G Lugosi, SS Venkatesh IEEE Transactions on Information Theory 44 (6), 2178-2206, 1998	259	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	258	1996
Regret in online combinatorial optimization JY Audibert, S Bubeck, G Lugosi Mathematics of Operations Research 39 (1), 31-45, 2014	253	2014

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