Nicolò Cesa-Bianchi

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Claudio GentileGoogle Research, New York, USAVerified email at google.com
Gabor LugosiICREA and Universitat Pompeu FabraVerified email at upf.edu
Peter AuerMontanuniversität LeobenVerified email at unileoben.ac.at
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Alex ConconiUniversity of Milan, ItalyVerified email at frog.co
Yoav FreundUCSDVerified email at ucsd.edu
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Manfred K. Warmuthvisiting Google BrainVerified email at google.com
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Samy BengioSenior Director, AI and Machine Learning Research, AppleVerified email at apple.com
Gilles StoltzCNRS / Université Paris-Saclay / HEC ParisVerified email at hec.fr
Giovanni ZappellaAWSVerified email at amazon.com
Tom CesariAssistant Professor at University of OttawaVerified email at uottawa.ca
David HausslerScientific Director, UC Santa Cruz Genomics Institute, University of California, Santa CruzVerified email at soe.ucsc.edu
Sebastien BubeckVP AI and Distinguished Scientist, MicrosoftVerified email at microsoft.com
Noga AlonPrinceton University and Tel Aviv UniversityVerified email at tau.ac.il
Hanna WallachPartner Research Manager, Microsoft ResearchVerified email at dirichlet.net
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Hugo LarochelleGoogle DeepMind & MilaVerified email at google.com
Francesco OrabonaAssociate Professor, KAUSTVerified email at orabona.com

Nicolò Cesa-Bianchi

Professor of Computer Science, Università degli Studi di Milano and Politecnico di Milano

Verified email at unimi.it - Homepage

Machine Learning Learning Theory Online Learning Multi-Armed Bandits


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Finite-time Analysis of the Multiarmed Bandit Problem P Auer Kluwer Academic Publishers, 2002	8375	2002
Prediction, learning, and games N Cesa-Bianchi, G Lugosi Cambridge University Press, 2006	4986	2006
Regret analysis of stochastic and nonstochastic multi-armed bandit problems S Bubeck, N Cesa-Bianchi Foundations and Trends in Machine Learning 5 (1), 1-122, 2012	3175	2012
The nonstochastic multiarmed bandit problem P Auer, N Cesa-Bianchi, Y Freund, RE Schapire SIAM journal on computing 32 (1), 48-77, 2002	3115	2002
Proceedings of the 32nd international conference on neural information processing systems S Bengio, HM Wallach, H Larochelle, K Grauman, N Cesa-Bianchi Curran Associates Inc., 2018	1571*	2018
Gambling in a rigged casino: The adversarial multi-armed bandit problem P Auer, N Cesa-Bianchi, Y Freund, RE Schapire Proceedings of the 36th Annual Symposium on Foundations of Computer Science …, 1995	1193	1995
How to use expert advice N Cesa-Bianchi, Y Freund, D Haussler, DP Helmbold, RE Schapire, ... Journal of the ACM (JACM) 44 (3), 427-485, 1997	1001	1997
On the generalization ability of on-line learning algorithms N Cesa-Bianchi, A Conconi, C Gentile IEEE Transactions on Information Theory 50 (9), 2050-2057, 2004	624	2004
Scale-sensitive dimensions, uniform convergence, and learnability N Alon, S Ben-David, N Cesa-Bianchi, D Haussler Journal of the ACM (JACM) 44 (4), 615-631, 1997	604	1997
Combinatorial bandits N Cesa-Bianchi, G Lugosi Journal of Computer and System Sciences 78 (5), 1404-1422, 2012	520	2012
Incremental algorithms for hierarchical classification N Cesa-Bianchi, C Gentile, A Tironi, L Zaniboni Advances in neural information processing systems 17, 2004	373	2004
Adaptive and self-confident on-line learning algorithms P Auer, N Cesa-Bianchi, C Gentile Journal of Computer and System Sciences 64 (1), 48-75, 2002	340	2002
Bandits with heavy tail S Bubeck, N Cesa-Bianchi, G Lugosi IEEE Transactions on Information Theory 59 (11), 7711-7717, 2013	322	2013
A second-order Perceptron algorithm N Cesa-Bianchi, A Conconi, C Gentile SIAM Journal on Computing 34 (3), 640-668, 2005	253	2005
Improved second-order bounds for prediction with expert advice N Cesa-Bianchi, Y Mansour, G Stoltz Machine Learning 66, 321-352, 2007	250	2007
Boltzmann exploration done right N Cesa-Bianchi, C Gentile, G Lugosi, G Neu Advances in neural information processing systems 30, 2017	227	2017
Hierarchical classification: combining bayes with SVM N Cesa-Bianchi, C Gentile, L Zaniboni Proceedings of the 23rd international conference on Machine learning, 177-184, 2006	216	2006
Worst-case quadratic loss bounds for prediction using linear functions and gradient descent N Cesa-Bianchi, PM Long, MK Warmuth IEEE Transactions on Neural Networks 7 (3), 604-619, 1996	210	1996
Linear algorithms for online multitask classification G Cavallanti, N Cesa-Bianchi, C Gentile The Journal of Machine Learning Research 11, 2901-2934, 2010	209	2010
Regret minimization for reserve prices in second-price auctions N Cesa-Bianchi, C Gentile, Y Mansour Proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA13), 1190-1204, 2013	198	2013

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