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Suho Shin
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Bandit Social Learning: Exploration under Myopic Behavior
K Banihashem, MT Hajiaghayi, S Shin, A Slivkins
arXiv preprint arXiv:2302.07425, 2023
82023
Regret analysis of repeated delegated choice
MT Hajiaghayi, M Mahdavi, K Rezaei, S Shin
arXiv preprint arXiv:2310.04884, 2023
32023
Multi-armed Bandit Algorithm against Strategic Replication
S Shin, S Lee, J Ok
International Conference on Artificial Intelligence and Statistics, 403-431, 2022
32022
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
22022
Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
SA Esmaeili, S Shin, A Slivkins
arXiv preprint arXiv:2312.07929, 2023
12023
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
12023
Online Advertisements with LLMs: Opportunities and Challenges
S Feizi, MT Hajiaghayi, K Rezaei, S Shin
arXiv preprint arXiv:2311.07601, 2023
12023
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
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