assaf zeevi

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Omar BesbesColumbia UniversityDirección de correo verificada de columbia.edu
Achal BassambooKellogg School of Management, Northwestern UniversityDirección de correo verificada de kellogg.northwestern.edu
Alexander GoldenshlugerDepartment of Statistics, University of HaifaDirección de correo verificada de stat.haifa.ac.il
J. Michael HarrisonProfessor of Management, Stanford UniversityDirección de correo verificada de stanford.edu
Yonatan GurResearch at NetflixDirección de correo verificada de netflix.com
N. Bora KeskinAssociate Professor, Duke UniversityDirección de correo verificada de duke.edu
Vineet GoyalColumbia UniversityDirección de correo verificada de ieor.columbia.edu
Costis MaglarasDavid and Lyn Silfen Professor of Business at Columbia UniversityDirección de correo verificada de gsb.columbia.edu
Shipra AgrawalColumbia universityDirección de correo verificada de columbia.edu
Vashist AvadhanulaHead of Data Science, MolocoDirección de correo verificada de moloco.com
Sandeep JunejaAshoka UniversityDirección de correo verificada de ashoka.edu.in
Mark BroadieColumbia Business SchoolDirección de correo verificada de columbia.edu
Ron MeirProfessor of Electrical Engineeringe, TechnionDirección de correo verificada de ee.technion.ac.il
Dongwook ShinHKUST Business SchoolDirección de correo verificada de ust.hk
Peter W. GlynnProfessor of Management Science and EngineeringDirección de correo verificada de stanford.edu
Denis SaureUniversity of ChileDirección de correo verificada de dii.uchile.cl
Garud N. IyengarColumbia UniversityDirección de correo verificada de columbia.edu
Anand KalvitStanford UniversityDirección de correo verificada de stanford.edu
Yunbei XuAssistant Professor, National University of SingaporeDirección de correo verificada de nus.edu.sg
Robert AdlerEmeritus Professor, Electrical Engineering, TechnionDirección de correo verificada de technion.ac.il

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assaf zeevi

Columbia university

Dirección de correo verificada de gsb.columbia.edu - Página principal

operations research machine learning statistics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Dynamic pricing without knowing the demand function: Risk bounds and near-optimal algorithms O Besbes, A Zeevi Operations research 57 (6), 1407-1420, 2009	636	2009
Stochastic multi-armed-bandit problem with non-stationary rewards O Besbes, Y Gur, A Zeevi Advances in neural information processing systems 27, 2014	604	2014
Non-stationary stochastic optimization O Besbes, Y Gur, A Zeevi Operations research 63 (5), 1227-1244, 2015	496	2015
Beyond correlation: Extreme co-movements between financial assets A Zeevi, R Mashal Available at SSRN 317122, 2002	382	2002
Dynamic pricing with an unknown demand model: Asymptotically optimal semi-myopic policies NB Keskin, A Zeevi Operations research 62 (5), 1142-1167, 2014	357	2014
Security of quantum key distribution with entangled photons against individual attacks E Waks, A Zeevi, Y Yamamoto Physical Review A 65 (5), 052310, 2002	348	2002
Bayesian dynamic pricing policies: Learning and earning under a binary prior distribution JM Harrison, NB Keskin, A Zeevi Management Science 58 (3), 570-586, 2012	284	2012
On the (surprising) sufficiency of linear models for dynamic pricing with demand learning O Besbes, A Zeevi Management Science 61 (4), 723-739, 2015	267	2015
Optimal dynamic assortment planning with demand learning D Sauré, A Zeevi Manufacturing & Service Operations Management 15 (3), 387-404, 2013	258	2013
A method for staffing large call centers based on stochastic fluid models JM Harrison, A Zeevi Manufacturing & Service Operations Management 7 (1), 20-36, 2005	246	2005
Validity of heavy traffic steady-state approximations in generalized Jackson networks D Gamarnik, A Zeevi	216	2006
Design and control of a large call center: Asymptotic analysis of an LP-based method A Bassamboo, JM Harrison, A Zeevi Operations Research 54 (3), 419-435, 2006	207	2006
Blind network revenue management O Besbes, A Zeevi Operations research 60 (6), 1537-1550, 2012	199	2012
MNL-bandit: A dynamic learning approach to assortment selection S Agrawal, V Avadhanula, V Goyal, A Zeevi Operations Research 67 (5), 1453-1485, 2019	198	2019
Dynamic scheduling of a multiclass queue in the Halfin-Whitt heavy traffic regime JM Harrison, A Zeevi Operations Research 52 (2), 243-257, 2004	196	2004
Chasing demand: Learning and earning in a changing environment NB Keskin, A Zeevi Mathematics of Operations Research 42 (2), 277-307, 2017	183	2017
A linear response bandit problem A Goldenshluger, A Zeevi Stochastic Systems 3 (1), 230-261, 2013	181	2013
Portfolio credit risk with extremal dependence: Asymptotic analysis and efficient simulation A Bassamboo, S Juneja, A Zeevi Operations Research 56 (3), 593-606, 2008	152	2008
Pricing and design of differentiated services: Approximate analysis and structural insights C Maglaras, A Zeevi Operations Research 53 (2), 242-262, 2005	143	2005
Nonparametric bandits with covariates P Rigollet, A Zeevi arXiv preprint arXiv:1003.1630, 2010	142	2010

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