Yishay Mansour

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Eyal Even-DarFinalEmail yang diverifikasi di final.co.il
Michael KearnsProfessor of Computer Science, University of PennsylvaniaEmail yang diverifikasi di cis.upenn.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoEmail yang diverifikasi di ttic.edu
Haim KaplanSchool of Computer Science, Tel Aviv UniversityEmail yang diverifikasi di post.tau.ac.il
Mehryar MohriHead, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.Email yang diverifikasi di google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoEmail yang diverifikasi di unimi.it
David McAllesterProfessor, Toyota Technological Institute at ChicagoEmail yang diverifikasi di ttic.edu
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaEmail yang diverifikasi di technion.ac.il
Eyal KushilevitzComputer Science Department, TechnionEmail yang diverifikasi di cs.technion.ac.il
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityEmail yang diverifikasi di cs.cmu.edu
Noam NisanProfessor of Computer Science, Hebrew University of JerusalemEmail yang diverifikasi di cs.huji.ac.il
Shay KuttenProfessor, TechnionEmail yang diverifikasi di technion.ac.il
avinatan hassidimEmail yang diverifikasi di biu.ac.il
Yehuda AfekTel Aviv UniversityEmail yang diverifikasi di post.tau.ac.il
Claudio GentileGoogle Research, New York, USAEmail yang diverifikasi di google.com
Robert SchapireMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Sham M KakadeHarvard UniversityEmail yang diverifikasi di seas.harvard.edu
Hugo KrawczykAmazon Web ServicesEmail yang diverifikasi di amazon.com
Ilan KremerHebrew University and University of WarwickEmail yang diverifikasi di huji.ac.il
Afshin RostamizadehGoogle ResearchEmail yang diverifikasi di google.com

Ikuti

Yishay Mansour

Tel Aviv University

Email yang diverifikasi di tauex.tau.ac.il - Beranda

machine learning reinforcement learning algorithmic game theory


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Policy Gradient Methods for Reinforcement Learning with Function Approximation. RS Sutton, DA McAllester, S Singh, Y Mansour NIPS, 1999	9215	1999
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	951	2009
Constant depth circuits, Fourier transform, and learnability N Linial, Y Mansour, N Nisan Journal of the ACM (JACM) 40 (3), 607-620, 1993	931	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	818	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	801	2002
Three approaches for personalization with applications to federated learning Y Mansour, M Mohri, J Ro, AT Suresh arXiv preprint arXiv:2002.10619, 2020	695	2020
Learning Rates for Q-learning. E Even-Dar, Y Mansour, P Bartlett Journal of machine learning Research 5 (1), 2003	658	2003
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008	650	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	582	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	563	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	439	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	363	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
From external to internal regret. A Blum, Y Mansour Journal of Machine Learning Research 8 (6), 2007	348	2007

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