Nicolò Cesa-Bianchi - Google Scholar Citations

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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
Paul FischerDTU Compute, Technical University of DenmarkVerified email at dtu.dk
Fabio VitaleSapienza University of RomeVerified email at inria.fr
Alex Conconiformerly at University of Milan, ItalyVerified email at frogdesign.com
Yoav FreundUCSDVerified email at eng.ucsd.edu
Manfred K. WarmuthProfessor of Computer Science, University of California at Santa CruzVerified email at ucsc.edu
Giovanni ZappellaAmazonVerified email at amazon.com
David HausslerScientific Director, UC Santa Cruz Genomics Institute, University of California, Santa CruzVerified email at soe.ucsc.edu
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Yishay MansourTel Aviv UniversityVerified email at tau.ac.il
Sebastien BubeckPrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
Noga AlonPrinceton University and Tel Aviv UniversityVerified email at tau.ac.il
Francesco OrabonaAssistant Professor, Boston UniversityVerified email at orabona.com
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
Giorgio ValentiniComputer Science Dept. - University of MilanVerified email at di.unimi.it
Philip LongGoogleVerified email at google.com

Nicolò Cesa-Bianchi

Professor of Computer Science, Università degli Studi di Milano

Verified email at unimi.it - Homepage

Machine Learning Learning Theory Online Learning Multi-Armed Bandits


Title	Cited by	Year
Finite-time analysis of the multiarmed bandit problem P Auer, N Cesa-Bianchi, P Fischer Machine learning 47 (2-3), 235-256, 2002	4009	2002
Prediction, learning, and games N Cesa-Bianchi, G Lugosi Cambridge University Press, 2006	2811	2006
The nonstochastic multiarmed bandit problem P Auer, N Cesa-Bianchi, Y Freund, RE Schapire SIAM journal on computing 32 (1), 48-77, 2002	1544	2002
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	1367	2012
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	789	1997
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	698	1995
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	463	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	395	2004
Incremental algorithms for hierarchical classification N Cesa-Bianchi, C Gentile, L Zaniboni Journal of Machine Learning Research 7 (Jan), 31-54, 2006	275	2006
Efficient second order online learning by sketching H Luo, A Agarwal, N Cesa-Bianchi, J Langford Advances in Neural Information Processing Systems, 902-910, 2016	264*	2016
Combinatorial bandits N Cesa-Bianchi, G Lugosi Journal of Computer and System Sciences 78 (5), 1404-1422, 2012	238	2012
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	211	2002
A second-order Perceptron algorithm N Cesa-Bianchi, A Conconi, C Gentile SIAM Journal on Computing 34 (3), 640-668, 2005	184	2005
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	161	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	153	1996
Improved second-order bounds for prediction with expert advice N Cesa-Bianchi, Y Mansour, G Stoltz Machine Learning 66 (2-3), 321-352, 2007	150	2007
Linear algorithms for online multitask classification G Cavallanti, N Cesa-Bianchi, C Gentile The Journal of Machine Learning Research 11, 2901-2934, 2010	139	2010
Tracking the best hyperplane with a simple budget perceptron G Cavallanti, N Cesa-Bianchi, C Gentile Machine Learning 69 (2-3), 143-167, 2007	132	2007
Potential-based algorithms in on-line prediction and game theory N Cesa-Bianchi, G Lugosi Machine Learning 51 (3), 239-261, 2003	128	2003
Worst-case analysis of selective sampling for linear-threshold algorithms N Cesa-Bianchi, C Gentile, A Tironi, L Zaniboni Advances in Neural Information Processing Systems 17, 233-240, 2004	126*	2004

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