Publications

^{($\alpha,\beta$ denotes alphabetical order of authorship)}

• Algorithmic Delegated Choice: Reading List, SIGecom Exchanges Vol 23.1
  • ^{$\alpha,\beta$}M. Hajiaghayi, S. Shin
• Optimal Contest for Recommender Systems, working paper (Job Market Paper)
  • ^{$\alpha,\beta$}N. Golrezaei, M. Hajiaghayi, S. Shin
  • Marketplace Innovation Workshop’25
  • Finalists, 2025 INFORMS PSOR best video competition
• Delegation with Costly Inspection, EC’25
  • ^{$\alpha,\beta$}M. Hajiaghayi, P. Krysta, M. Mahdavi, S. Shin
• Delegated Choice with Combinatorial Constraints, EC’25
  • ^{$\alpha,\beta$}K. Banihashem, M. Hajiaghayi, P. Krysta, S. Shin
• Tokenized Bandit for LLM Decoding and Alignment, ICML’25
  • S. Shin, C. Yang, H. Xu, M. Hajiaghayi
  • EC’25 workshop on Information Economics and LLMs
  • EC’25 workshop on Human-AI Collaboration
• Replication-proof Bandit Mechanism Design, AAAI’25 (oral)
  • S. Shin, S. Esmaeili, M. Hajiaghayi
• Robust and Performance Incentivizing Algorithms for Bandits, AAAI’25
  • S. Esmaeili, S. Shin, A. Slivkins
• Gains-from-Trade in Bilateral Trade with a Broker, SODA’25
  • ^{$\alpha,\beta$}I. Hajiaghayi, M. Hajiaghayi, G. Peng, S. Shin
• Online Ads with LLMs: Opportunities and Challenges, SIGecom Exchanges Vol 22.2
  • ^{$\alpha,\beta$}S. Feizi, M. Hajiaghayi, K. Rezaei, S. Shin
• Ad Auctions for LLMs via Retrieval Augmented Generation, NeurIPS’24
  • ^{$\alpha,\beta$}M. Hajiaghayi, S. Lahaie, K. Rezaei, S. Shin
  • EC’24 workshop on Frontiers of Online Advertising: Autobidding, GenAI, and Beyond
• Dueling Over Dessert, Mastering the Art of Repeated Cake Cutting, NeurIPS’24
  • ^{$\alpha,\beta$}S. Branzei, M. Hajiaghayi, R. Phillips, S. Shin, K. Wang
  • Slides by Simina at WALE 24.
• Fairness and Efficiency in Online Class Matching, NeurIPS’24
  • ^{$\alpha,\beta$}M. Hajiaghayi, S. Jahan, M. Sharifi, S. Shin, M. Springer
• Regret Analysis of Repeated Delegated Choice, AAAI’24
  • ^{$\alpha,\beta$}M. Hajiaghayi, M. Mahdavi, K. Rezaei, S. Shin
• Improved Relaxation for Oracle-efficient Adversarial Contextual Bandits, NeurIPS’23
  • ^{$\alpha,\beta$}K. Banihashem, M. Hajiaghayi, S. Shin, M. Springer
• Bandit Social Learning under Myopic Agents, NeurIPS’23
  • ^{$\alpha,\beta$}K. Banihashem, M. Hajiaghayi, S. Shin, A. Slivkins
  • EC’24 workshop on Information Acquisition
  • Best poster award at Annual Machine Learning Symposium’24
• Delegating to Multiple Agents, EC’23
  • ^{$\alpha,\beta$}M. Hajiaghayi, K. Rezaei, S. Shin
• Multi-armed Bandit Algorithm against Strategic Replication, AISTATS’22
  • S. Shin, S. Lee, J. Ok
• Power of Bonus in Pricing for Crowdsourcing, Sigmetrics’22
  • S. Shin, H.Choi, Y. Yi, J. Ok