| Dynamic pricing without knowing the demand function: Risk bounds and near-optimal algorithms O Besbes, A Zeevi Operations research 57 (6), 1407-1420, 2009 | 611 | 2009 |
| Stochastic multi-armed-bandit problem with non-stationary rewards O Besbes, Y Gur, A Zeevi Advances in neural information processing systems 27, 2014 | 557 | 2014 |
| Non-stationary stochastic optimization O Besbes, Y Gur, A Zeevi Operations research 63 (5), 1227-1244, 2015 | 456 | 2015 |
| Beyond correlation: Extreme co-movements between financial assets A Zeevi, R Mashal Available at SSRN 317122, 2002 | 376 | 2002 |
| Security of quantum key distribution with entangled photons against individual attacks E Waks, A Zeevi, Y Yamamoto Physical Review A 65 (5), 052310, 2002 | 340 | 2002 |
| Dynamic pricing with an unknown demand model: Asymptotically optimal semi-myopic policies NB Keskin, A Zeevi Operations research 62 (5), 1142-1167, 2014 | 337 | 2014 |
| 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 | 277 | 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 | 254 | 2015 |
| Optimal dynamic assortment planning with demand learning D Sauré, A Zeevi Manufacturing & Service Operations Management 15 (3), 387-404, 2013 | 243 | 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 | 243 | 2005 |
| Validity of heavy traffic steady-state approximations in generalized Jackson networks D Gamarnik, A Zeevi | 215 | 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 | 206 | 2006 |
| Blind network revenue management O Besbes, A Zeevi Operations research 60 (6), 1537-1550, 2012 | 192 | 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 | 189 | 2004 |
| MNL-bandit: A dynamic learning approach to assortment selection S Agrawal, V Avadhanula, V Goyal, A Zeevi Operations Research 67 (5), 1453-1485, 2019 | 182 | 2019 |
| Chasing demand: Learning and earning in a changing environment NB Keskin, A Zeevi Mathematics of Operations Research 42 (2), 277-307, 2017 | 175 | 2017 |
| A linear response bandit problem A Goldenshluger, A Zeevi Stochastic Systems 3 (1), 230-261, 2013 | 165 | 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 | 144 | 2008 |
| Pricing and design of differentiated services: Approximate analysis and structural insights C Maglaras, A Zeevi Operations Research 53 (2), 242-262, 2005 | 140 | 2005 |
| Nonparametric bandits with covariates P Rigollet, A Zeevi arXiv preprint arXiv:1003.1630, 2010 | 136 | 2010 |
Omar BesbesColumbia UniversityVerified email at columbia.edu
