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
Haim KaplanSchool of Computer Science, Tel Aviv UniversityVerified email at post.tau.ac.il
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Mehryar MohriHead, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.Verified email at google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoVerified email at unimi.it
David McAllesterProfessor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaVerified email at technion.ac.il
Eyal KushilevitzComputer Science Department, TechnionVerified email at cs.technion.ac.il
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
Ilan KremerHebrew University and University of WarwickVerified email at huji.ac.il
Hugo KrawczykAmazon Web ServicesVerified email at amazon.com
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	9165	1999
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	947	2009
Constant depth circuits, Fourier transform, and learnability N Linial, Y Mansour, N Nisan Journal of the ACM (JACM) 40 (3), 607-620, 1993	928	1993
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	810	2006
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	799	2002
Three approaches for personalization with applications to federated learning Y Mansour, M Mohri, J Ro, AT Suresh arXiv preprint arXiv:2002.10619, 2020	686	2020
Learning Rates for Q-learning. E Even-Dar, Y Mansour, P Bartlett Journal of machine learning Research 5 (1), 2003	655	2003
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008	646	2008
Learning decision trees using the Fourier spectrum E Kushilevitz, Y Mansour Proceedings of the twenty-third annual ACM symposium on Theory of computing …, 1991	625	1991
The shrinking generator D Coppersmith, H Krawczyk, Y Mansour Annual International Cryptology Conference, 22-39, 1993	579	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	557	2002
A construction of a cipher from a single pseudorandom permutation S Even, Y Mansour Journal of cryptology 10, 151-161, 1997	524	1997
Learning bounds for importance weighting C Cortes, Y Mansour, M Mohri Advances in neural information processing systems 23, 2010	438	2010
Implementing the “wisdom of the crowd” I Kremer, Y Mansour, M Perry Journal of Political Economy 122 (5), 988-1012, 2014	395	2014
Nash Convergence of Gradient Dynamics in General-Sum Games. S Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	392	2000
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	362	2008
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	360	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	356	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	351	1996
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	347*	1998

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