Claudio Gentile - Google Scholar

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	All	Since 2015
Citations	4562	2479
h-index	34	26
i10-index	57	46

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Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoVerified email at unimi.it
Fabio VitaleUniversity of Lille & INRIA Lille - Nord EuropeVerified email at inria.fr
Giovanni ZappellaAmazonVerified email at amazon.com
Alex Conconiformerly at University of Milan, ItalyVerified email at frogdesign.com
Shuai LiCambridge UniversityVerified email at cam.ac.uk
Yishay MansourTel Aviv UniversityVerified email at tau.ac.il
Alexandros KaratzoglouGoogleVerified email at google.com
Francesco OrabonaAssistant Professor, Boston UniversityVerified email at orabona.com
gianmarco baldiniEuropean Commission - Joint Research CentreVerified email at jrc.ec.europa.eu
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical SciencesVerified email at google.com
Corinna CortesGoogle Research, NYVerified email at google.com
Giulia DeSalvoNew York UniversityVerified email at cims.nyu.edu
Raimondo GiulianiEuropean Commission Joint Research CenterVerified email at ec.europa.eu
Gary SteriVerified email at ec.europa.eu
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
Ofer DekelMicrosoft ResearchVerified email at microsoft.com
Noga AlonPrinceton University and Tel Aviv UniversityVerified email at tau.ac.il
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Manfred K. WarmuthProfessor of Computer Science, University of California at Santa CruzVerified email at ucsc.edu
Peter AuerMontanuniversität LeobenVerified email at unileoben.ac.at

Claudio Gentile

Google Research, New York, USA

Verified email at google.com - Homepage

Online Learning Learning Theory Machine Learning Theoretical Computer Science


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On the generalization ability of on-line learning algorithms N Cesa-Bianchi, A Conconi, C Gentile Information Theory, IEEE Transactions on 50 (9), 2050-2057, 2004	448	2004
A new approximate maximal margin classification algorithm C Gentile Journal of Machine Learning Research 2, 213-242, 2002	298	2002
Incremental algorithms for hierarchical classification N Cesa-Bianchi, C Gentile, L Zaniboni Journal of Machine Learning Research 7, 31-54, 2006	290	2006
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	232	2002
A second-order perceptron algorithm N Cesa-Bianchi, A Conconi, C Gentile SIAM Journal on Computing 34 (3), 640-668, 2005	211	2005
Collaborative filtering bandits S Li, A Karatzoglou, C Gentile Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016	181	2016
The robustness of the p-norm algorithms C Gentile, N Littlestone Proceedings of the 12th Annual Conference on Computational Learning Theory …, 1999	176*	1999
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	173	2006
Linear algorithms for online multitask classification G Cavallanti, N Cesa-Bianchi, C Gentile The Journal of Machine Learning Research 11, 2901-2934, 2010	163	2010
Tracking the best hyperplane with a simple budget perceptron G Cavallanti, N Cesa-Bianchi, C Gentile Machine Learning 69 (2), 143-167, 2007	157	2007
Online Clustering of Bandits C Gentile, S Li, G Zappella 31st ICML, 2014	146	2014
Regret Minimization for Reserve Prices in Second-Price Auctions N Cesa-Bianchi, C Gentile, Y Mansour IEEE Transactions on Information Theory 61 (1), 549-564, 2015	124	2015
Worst-case analysis of selective sampling for linear classification N Cesa-Bianchi, C Gentile, L Zaniboni The Journal of Machine Learning Research 7, 1205-1230, 2006	117	2006
Linear hinge loss and average margin C Gentile, MK Warmuth Advances in Neural Information Processing Systems, 225-231, 1999	106	1999
A gang of bandits N Cesa-Bianchi, C Gentile, G Zappella Advances in Neural Information Processing Systems, 737-745, 2013	101	2013
Selective sampling and active learning from single and multiple teachers O Dekel, C Gentile, K Sridharan Journal of Machine Learning Research 13, 2655-2697, 2012	77	2012
Multiclass Classification with Bandit Feedback using Adaptive Regularization K Crammer, C Gentile Machine Learning 90 (3), 347-383, 2013	69	2013
Kernel Methods for Document Filtering J Shawe-Taylor, N Cancedda, N Cesa-Bianchi, A Conconi, C Gentile, ... The Eleventh Text REtrieval Conference TREC11, 2002	67*	2002
From bandits to experts: A tale of domination and independence N Alon, N Cesa-Bianchi, C Gentile, Y Mansour Advances in Neural Information Processing Systems, 1610-1618, 2013	64	2013
On Context-Dependent Clustering of Bandits C Gentile, S Li, P Kar, A Karatzoglou, G Zappella, E Etrue 34th International Conference on Machine Learning (ICML 2017), 1253-1262, 2017	61	2017

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