| 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 | 500 | 2015 |
| Learning in repeated auctions with budgets: Regret minimization and equilibrium SR Balseiro, Y Gur Management Science 65 (9), 3952-3968, 2019 | 254 | 2019 |
| Optimization in online content recommendation services: Beyond click-through rates O Besbes, Y Gur, A Zeevi Manufacturing & Service Operations Management 18 (1), 15-33, 2016 | 88 | 2016 |
| Framework agreements in procurement: An auction model and design recommendations Y Gur, L Lu, GY Weintraub Manufacturing & Service Operations Management 19 (4), 586-603, 2017 | 36 | 2017 |
| Smoothness-adaptive contextual bandits Y Gur, A Momeni, S Wager Operations Research 70 (6), 3198-3216, 2022 | 33* | 2022 |
| Information disclosure and promotion policy design for platforms Y Gur, G Macnamara, I Morgenstern, D Saban Management Science 69 (10), 5883-5903, 2023 | 30* | 2023 |
| The competitive facility location problem in a duopoly: advances beyond trees Y Gur, D Saban, NE Stier-Moses Operations Research 66 (4), 1058-1067, 2018 | 16* | 2018 |
| Adaptive sequential experiments with unknown information arrival processes Y Gur, A Momeni Manufacturing & Service Operations Management 24 (5), 2666-2684, 2022 | 12 | 2022 |
| Value loss in allocation systems with provider guarantees Y Gur, D Iancu, X Warnes Management Science 67 (6), 3757-3784, 2021 | 7 | 2021 |
| On Nash equilibria in network location games Y Gur Tel Aviv University, 2009 | 5 | 2009 |
| Equilibria under Dynamic Benchmark Consistency in Non-Stationary Multi-Agent Systems L Crippa, Y Gur, B Light arXiv preprint arXiv:2501.11897, 2025 | 4* | 2025 |
| A facility location problem under competition Y Gur, NE Stier-Moses Proceedings of the Workshop on the Economics of Networks, Systems and …, 2011 | 4 | 2011 |
| Adaptive learning with unknown information flows Y Gur, A Momeni Advances in Neural Information Processing Systems 31, 2018 | 3 | 2018 |
| Heuristics for planning with rare catastrophic events Y Kim, Y Gur, MJ Kochenderfer 2017 Winter Simulation Conference (WSC), 3030-3041, 2017 | 3 | 2017 |
| Sequential optimization in changing environments: theory and application to online content recommendation services Y Gur Columbia University, 2014 | 3 | 2014 |
| Sequential procurement with contractual and experimental learning Y Gur, G Macnamara, D Saban Management Science 68 (4), 2714-2731, 2022 | 2 | 2022 |
| Adaptive sequential experiments with unknown information flows Y Gur, A Momeni arXiv preprint arXiv:1907.00107, 2019 | 2 | 2019 |
| Incentivized Exploration via Filtered Posterior Sampling A Kalvit, A Slivkins, Y Gur arXiv preprint arXiv:2402.13338, 2024 | 1 | 2024 |
| Leveraging Consensus Effect to Optimize Ranking in Online Discussion Boards G Allon, J Carlstein, Y Gur Available at SSRN 4215596, 2022 | 1 | 2022 |
Omar BesbesColumbia UniversityDirección de correo verificada de columbia.edu