Yishay Mansour

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	Toutes	Depuis 2016
Citations	26073	11833
indice h	71	46
indice i10	236	146

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Coauteurs

Michael KearnsProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Eyal Even-DarFinalAdresse e-mail validée de final.co.il
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu
Haim KaplanSchool of Computer Science, Tel Aviv UniversityAdresse e-mail validée de post.tau.ac.il
Eyal KushilevitzComputer Science Department, TechnionAdresse e-mail validée de cs.technion.ac.il
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Noam NisanProfessor of Computer Science, Hebrew University of JerusalemAdresse e-mail validée de cs.huji.ac.il
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchAdresse e-mail validée de technion.ac.il
David McAllesterProfessor, Toyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu
Yehuda AfekTel Aviv UniversityAdresse e-mail validée de post.tau.ac.il
Shay KuttenProfessor, TechnionAdresse e-mail validée de technion.ac.il
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical SciencesAdresse e-mail validée de google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di MilanoAdresse e-mail validée de unimi.it
avinatan hassidimAdresse e-mail validée de biu.ac.il
Robert SchapireMicrosoft ResearchAdresse e-mail validée de microsoft.com
Claudio GentileGoogle Research, New York, USAAdresse e-mail validée de google.com
Yoav FreundUCSDAdresse e-mail validée de eng.ucsd.edu
Hugo KrawczykAlgorand FoundationAdresse e-mail validée de algorand.foundation
Ilan KremerHebrew University and University of WarwickAdresse e-mail validée de huji.ac.il
S MuthukrishnanRutgers UnivAdresse e-mail validée de cs.rutgers.edu

Yishay Mansour

Tel Aviv University

Adresse e-mail validée de tau.ac.il - Page d'accueil

machine learning reinforcement learning algorithmic game theory communication networks online algorithms


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Policy Gradient Methods for Reinforcement Learning with Function Approximation. RS Sutton, DA McAllester, S Singh, Y Mansour NIPS, 1999	4373	1999
Constant depth circuits, Fourier transform, and learnability N Linial, Y Mansour, N Nisan Journal of the ACM (JACM) 40 (3), 607-620, 1993	791	1993
Perseus: Randomized point-based value iteration for POMDPs MTJ Spaan, N Vlassis Journal of artificial intelligence research 24, 195-220, 2005	769	2005
A sparse sampling algorithm for near-optimal planning in large Markov decision processes M Kearns, Y Mansour, AY Ng Machine learning 49 (2), 193-208, 2002	650	2002
A learned representation for artistic style V Dumoulin, J Shlens, M Kudlur arXiv preprint arXiv:1610.07629, 2016	646	2016
Learning decision trees using the Fourier spectrum E Kushilevitz, Y Mansour SIAM Journal on Computing 22 (6), 1331-1348, 1993	527	1993
The shrinking generator D Coppersmith, H Krawczyk, Y Mansour Annual International Cryptology Conference, 22-39, 1993	505	1993
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	486	2009
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems. E Even-Dar, S Mannor, Y Mansour, S Mahadevan Journal of machine learning research 7 (6), 2006	452	2006
Learning Rates for Q-learning. E Even-Dar, Y Mansour, P Bartlett Journal of machine learning Research 5 (1), 2003	406	2003
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 1041-1048, 2008	384	2008
A construction of a cipher from a single pseudorandom permutation S Even, Y Mansour Journal of cryptology 10 (3), 151-161, 1997	374*	1997
PAC bounds for multi-armed bandit and Markov decision processes E Even-Dar, S Mannor, Y Mansour International Conference on Computational Learning Theory, 255-270, 2002	364	2002
Nash Convergence of Gradient Dynamics in General-Sum Games. SP Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	328	2000
An Ω(D\log(N/D)) lower bound for broadcast in radio networks E Kushilevitz, Y Mansour SIAM journal on Computing 27 (3), 702-712, 1998	325*	1998
On the boosting ability of top–down decision tree learning algorithms M Kearns, Y Mansour Journal of Computer and System Sciences 58 (1), 109-128, 1999	300	1999
On the learnability of discrete distributions M Kearns, Y Mansour, D Ron, R Rubinfeld, RE Schapire, L Sellie Proceedings of the twenty-sixth annual ACM symposium on Theory of computing …, 1994	296	1994
Weakly learning DNF and characterizing statistical query learning using Fourier analysis A Blum, M Furst, J Jackson, M Kearns, Y Mansour, S Rudich Proceedings of the twenty-sixth annual ACM symposium on Theory of computing …, 1994	281	1994
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	276	2008
An experimental and theoretical comparison of model selection methods M Kearns, Y Mansour, AY Ng, D Ron Machine Learning 27 (1), 7-50, 1997	276	1997

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