Yishay Mansour

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Eyal Even-DarFinalPatvirtintas el. paštas final.co.il
Michael KearnsProfessor of Computer Science, University of PennsylvaniaPatvirtintas el. paštas cis.upenn.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoPatvirtintas el. paštas ttic.edu
Haim KaplanSchool of Computer Science, Tel Aviv UniversityPatvirtintas el. paštas post.tau.ac.il
Mehryar MohriHead, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.Patvirtintas el. paštas google.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoPatvirtintas el. paštas unimi.it
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaPatvirtintas el. paštas technion.ac.il
Eyal KushilevitzComputer Science Department, TechnionPatvirtintas el. paštas cs.technion.ac.il
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Noam NisanProfessor of Computer Science, Hebrew University of JerusalemPatvirtintas el. paštas cs.huji.ac.il
David McAllesterProfessor, Toyota Technological Institute at ChicagoPatvirtintas el. paštas ttic.edu
avinatan hassidimPatvirtintas el. paštas biu.ac.il
Shay KuttenProfessor, TechnionPatvirtintas el. paštas technion.ac.il
Yehuda AfekTel Aviv UniversityPatvirtintas el. paštas post.tau.ac.il
Robert SchapireMicrosoft ResearchPatvirtintas el. paštas microsoft.com
Claudio GentileGoogle Research, New York, USAPatvirtintas el. paštas google.com
Sham M KakadeHarvard UniversityPatvirtintas el. paštas seas.harvard.edu
Hugo KrawczykAmazon Web ServicesPatvirtintas el. paštas amazon.com
Ilan KremerHebrew University and University of WarwickPatvirtintas el. paštas huji.ac.il
Afshin RostamizadehGoogle ResearchPatvirtintas el. paštas google.com

Stebėti

Yishay Mansour

Tel Aviv University

Patvirtintas el. paštas tauex.tau.ac.il - Pagrindinis puslapis

machine learning reinforcement learning algorithmic game theory


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Policy Gradient Methods for Reinforcement Learning with Function Approximation. RS Sutton, DA McAllester, S Singh, Y Mansour NIPS, 1999	9259	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	932	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	821	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	808	2002
Three approaches for personalization with applications to federated learning Y Mansour, M Mohri, J Ro, AT Suresh arXiv preprint arXiv:2002.10619, 2020	697	2020
Learning rates for Q-learning E Even-Dar, Y Mansour Journal of machine learning Research 5 (Dec), 1-25, 2003	660	2003
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008	648	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	627	1991
The shrinking generator D Coppersmith, H Krawczyk, Y Mansour Annual International Cryptology Conference, 22-39, 1993	587	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	564	2002
A construction of a cipher from a single pseudorandom permutation S Even, Y Mansour Journal of cryptology 10, 151-161, 1997	530	1997
Learning bounds for importance weighting C Cortes, Y Mansour, M Mohri Advances in neural information processing systems 23, 2010	441	2010
Implementing the “wisdom of the crowd” I Kremer, Y Mansour, M Perry Journal of Political Economy 122 (5), 988-1012, 2014	399	2014
Nash Convergence of Gradient Dynamics in General-Sum Games. S Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	391	2000
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	365	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	362	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	358	1994
From external to internal regret. A Blum, Y Mansour Journal of Machine Learning Research 8 (6), 2007	353	2007
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	352	1996

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