Yishay Mansour

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Eyal Even-DarFinalVerified email at final.co.il
Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Haim KaplanSchool of Computer Science, Tel Aviv UniversityVerified email at post.tau.ac.il
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical Sciences.Verified email at google.com
David McAllesterProfessor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Eyal KushilevitzComputer Science Department, TechnionVerified email at cs.technion.ac.il
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoVerified email at unimi.it
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Noam NisanProfessor of Computer Science, Hebrew University of JerusalemVerified email at cs.huji.ac.il
Shay KuttenProfessor, TechnionVerified email at technion.ac.il
avinatan hassidimVerified email at biu.ac.il
Yehuda AfekTel Aviv UniversityVerified email at post.tau.ac.il
Claudio GentileGoogle Research, New York, USAVerified email at google.com
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Hugo KrawczykAmazon Web ServicesVerified email at amazon.com
Ilan KremerHebrew University and University of WarwickVerified email at huji.ac.il
Afshin RostamizadehGoogle ResearchVerified email at google.com

Yishay Mansour

Tel Aviv University

Verified email at tauex.tau.ac.il - Homepage

machine learning reinforcement learning algorithmic game theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Policy Gradient Methods for Reinforcement Learning with Function Approximation. RS Sutton, DA McAllester, S Singh, Y Mansour NIPS, 1999	7570	1999
Constant depth circuits, Fourier transform, and learnability N Linial, Y Mansour, N Nisan Journal of the ACM (JACM) 40 (3), 607-620, 1993	878	1993
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	782	2009
A sparse sampling algorithm for near-optimal planning in large Markov decision processes M Kearns, Y Mansour, AY Ng Machine learning 49, 193-208, 2002	769	2002
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems. E Even-Dar, S Mannor, Y Mansour Journal of machine learning research 7 (6), 2006	708	2006
Learning decision trees using the Fourier spectrum E Kushilevitz, Y Mansour Proceedings of the twenty-third annual ACM symposium on Theory of computing …, 1991	591	1991
Learning Rates for Q-learning. E Even-Dar, Y Mansour, P Bartlett Journal of machine learning Research 5 (1), 2003	586	2003
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008	569	2008
The shrinking generator D Coppersmith, H Krawczyk, Y Mansour Annual International Cryptology Conference, 22-39, 1993	554	1993
PAC bounds for multi-armed bandit and Markov decision processes E Even-Dar, S Mannor, Y Mansour Computational Learning Theory: 15th Annual Conference on Computational …, 2002	500	2002
A construction of a cipher from a single pseudorandom permutation S Even, Y Mansour Journal of cryptology 10, 151-161, 1997	480	1997
Three approaches for personalization with applications to federated learning Y Mansour, M Mohri, J Ro, AT Suresh arXiv preprint arXiv:2002.10619, 2020	458	2020
Nash Convergence of Gradient Dynamics in General-Sum Games. S Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	375	2000
Learning bounds for importance weighting C Cortes, Y Mansour, M Mohri Advances in neural information processing systems 23, 2010	371	2010
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	348*	1998
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	345	1994
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	333	2008
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	332	1994
On the boosting ability of top-down decision tree learning algorithms M Kearns, Y Mansour Proceedings of the twenty-eighth annual ACM symposium on Theory of computing …, 1996	328	1996
Implementing the “wisdom of the crowd” I Kremer, Y Mansour, M Perry Journal of Political Economy 122 (5), 988-1012, 2014	326	2014

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