assaf zeevi

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Omar BesbesColumbia UniversityEmail verificata su columbia.edu
Achal BassambooKellogg School of Management, Northwestern UniversityEmail verificata su kellogg.northwestern.edu
Alexander GoldenshlugerDepartment of Statistics, University of HaifaEmail verificata su stat.haifa.ac.il
J. Michael HarrisonProfessor of Management, Stanford UniversityEmail verificata su stanford.edu
Yonatan GurResearch at NetflixEmail verificata su netflix.com
Vineet GoyalColumbia UniversityEmail verificata su ieor.columbia.edu
N. Bora KeskinAssociate Professor, Duke UniversityEmail verificata su duke.edu
Shipra AgrawalColumbia universityEmail verificata su columbia.edu
Costis MaglarasDavid and Lyn Silfen Professor of Business at Columbia UniversityEmail verificata su gsb.columbia.edu
Vashist AvadhanulaHead of Data Science, MolocoEmail verificata su moloco.com
Sandeep JunejaAshoka UniversityEmail verificata su ashoka.edu.in
Mark BroadieColumbia Business SchoolEmail verificata su columbia.edu
Ron MeirProfessor of Electrical Engineeringe, TechnionEmail verificata su ee.technion.ac.il
Dongwook ShinHKUST Business SchoolEmail verificata su ust.hk
Peter W. GlynnProfessor of Management Science and EngineeringEmail verificata su stanford.edu
Denis SaureUniversity of ChileEmail verificata su dii.uchile.cl
Garud N. IyengarColumbia UniversityEmail verificata su columbia.edu
Anand KalvitPostdoctoral Researcher, Stanford UniversityEmail verificata su stanford.edu
Yunbei XuAssistant Professor, National University of SingaporeEmail verificata su nus.edu.sg
Robert AdlerEmeritus Professor, Electrical Engineering, TechnionEmail verificata su technion.ac.il

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assaf zeevi

Columbia university

Email verificata su gsb.columbia.edu - Home page

operations research machine learning statistics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Dynamic pricing without knowing the demand function: Risk bounds and near-optimal algorithms O Besbes, A Zeevi Operations research 57 (6), 1407-1420, 2009	643	2009
Stochastic multi-armed-bandit problem with non-stationary rewards O Besbes, Y Gur, A Zeevi Advances in neural information processing systems 27, 2014	522	2014
Non-stationary stochastic optimization O Besbes, Y Gur, A Zeevi Operations research 63 (5), 1227-1244, 2015	500	2015
Beyond correlation: Extreme co-movements between financial assets A Zeevi, R Mashal Available at SSRN 317122, 2002	381	2002
Dynamic pricing with an unknown demand model: Asymptotically optimal semi-myopic policies NB Keskin, A Zeevi Operations research 62 (5), 1142-1167, 2014	363	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	346	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	287	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	275	2015
Optimal dynamic assortment planning with demand learning D Sauré, A Zeevi Manufacturing & Service Operations Management 15 (3), 387-404, 2013	261	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	244	2005
Validity of heavy traffic steady-state approximations in generalized Jackson networks D Gamarnik, A Zeevi	221	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	208	2006
MNL-bandit: A dynamic learning approach to assortment selection S Agrawal, V Avadhanula, V Goyal, A Zeevi Operations Research 67 (5), 1453-1485, 2019	206	2019
Blind network revenue management O Besbes, A Zeevi Operations research 60 (6), 1537-1550, 2012	201	2012
Dynamic scheduling of a multiclass queue in the Halfin-Whitt heavy traffic regime JM Harrison, A Zeevi Operations Research 52 (2), 243-257, 2004	199	2004
Chasing demand: Learning and earning in a changing environment NB Keskin, A Zeevi Mathematics of Operations Research 42 (2), 277-307, 2017	187	2017
A linear response bandit problem A Goldenshluger, A Zeevi Stochastic Systems 3 (1), 230-261, 2013	186	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	155	2008
Optimal exploration–exploitation in a multi-armed bandit problem with non-stationary rewards O Besbes, Y Gur, A Zeevi Stochastic Systems 9 (4), 319-337, 2019	154	2019
Nonparametric bandits with covariates P Rigollet, A Zeevi arXiv preprint arXiv:1003.1630, 2010	145	2010

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