Bandit Social Learning: Exploration under Myopic Behavior K Banihashem, MT Hajiaghayi, S Shin, A Slivkins arXiv preprint arXiv:2302.07425, 2023 | 8 | 2023 |
Regret analysis of repeated delegated choice M Hajiaghayi, M Mahdavi, K Rezaei, S Shin Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 9757-9764, 2024 | 3 | 2024 |
Multi-armed Bandit Algorithm against Strategic Replication S Shin, S Lee, J Ok International Conference on Artificial Intelligence and Statistics, 403-431, 2022 | 3 | 2022 |
Delegating to Multiple Agents S Shin, K Rezaei, M Hajiaghayi Proceedings of the 24th ACM Conference on Economics and Computation, 1081-1126, 2023 | 2* | 2023 |
Power of Bonus in Pricing for Crowdsourcing S Shin, H Choi, Y Yi, J Ok Proceedings of the 2022 ACM Sigmetrics, 2022 | 2 | 2022 |
Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents SA Esmaeili, S Shin, A Slivkins arXiv preprint arXiv:2312.07929, 2023 | 1 | 2023 |
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits K Banihashem, MT Hajiaghayi, S Shin, M Springer Thirty-seventh Conference on Neural Information Processing Systems 36, 2023 | 1 | 2023 |
Online Advertisements with LLMs: Opportunities and Challenges S Feizi, MT Hajiaghayi, K Rezaei, S Shin arXiv preprint arXiv:2311.07601, 2023 | 1 | 2023 |
Dueling Over Dessert, Mastering the Art of Repeated Cake Cutting S Brânzei, MT Hajiaghayi, R Phillips, S Shin, K Wang arXiv preprint arXiv:2402.08547, 2024 | | 2024 |
Replication-proof Bandit Mechanism Design S Esmaeili, MT Hajiaghayi, S Shin arXiv preprint arXiv:2312.16896, 2023 | | 2023 |