About me

I’m a second-year Ph.D. student in Computer Science at the University of Maryland, advised by Prof. MohammadTaghi Hajiaghayi. I’m broadly interested in the intersection of computer science and economics. This includes algorithmic mechanism design/game theory, social learning, social choice, and recently the socioeconomic impact of generative AI on the modern economy. I’m also interested in online algorithm, combinatorial optimization, computational complexity, and multi-armed bandits.

Previously, I was a software/machine learning engineer at Coupang and LINE, and received my M.S./B.S. in electrical engineering/mathematics at KAIST. This summer, I will be interning at the University of Chicago hosted by Prof. Haifeng Xu.

Papers

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

Dueling Over Dessert, Mastering the Art of Repeated Cake Cutting, Manuscript
- ^{$\alpha,\beta$}S. Branzei, M. Hajiaghayi, R. Phillips, S. Shin, K. Wang
Replication-proof Bandit Mechanism Design, Manuscript
- ^{$\alpha,\beta$}S. Esmaeili, M. Hajiaghayi, S. Shin
Robust and Performance Incentivizing Algorithms for Bandits, Manuscript
- ^{$\alpha,\beta$}S. Esmaeili, S. Shin, A. Slivkins
Online Advertisements with LLMs: Opportunities and Challenges, Manuscript
- ^{$\alpha,\beta$}S. Feizi, M. Hajiaghayi, K. Rezaei, S. Shin
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
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

Suho Shin

Papers