no code implementations • 13 Feb 2024 • Simina Brânzei, Mohammadtaghi Hajiaghayi, Reed Phillips, Suho Shin, Kun Wang
Alice cuts the cake at a point of her choice, while Bob chooses the left piece or the right piece, leaving the remainder for Alice.
no code implementations • 28 Dec 2023 • Seyed Esmaeili, Mohammadtaghi Hajiaghayi, Suho Shin
We consider Bayesian agents who are unaware of ex-post realization of their own arms' mean rewards, which is the first to study Bayesian extension of Shin et al. (2022).
no code implementations • 13 Dec 2023 • Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
We identify a class of MAB algorithms which we call performance incentivizing which satisfy a collection of properties and show that they lead to mechanisms that incentivize top level performance at equilibrium and are robust under any strategy profile.
no code implementations • 11 Nov 2023 • Soheil Feizi, Mohammadtaghi Hajiaghayi, Keivan Rezaei, Suho Shin
This paper explores the potential for leveraging Large Language Models (LLM) in the realm of online advertising systems.
no code implementations • 7 Oct 2023 • Mohammadtaghi Hajiaghayi, Mohammad Mahdavi, Keivan Rezaei, Suho Shin
To mitigate this behavior, the principal announces an eligible set which screens out a certain set of solutions.
no code implementations • 15 Feb 2023 • Kiarash Banihashem, Mohammadtaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
We study social learning dynamics motivated by reviews on online platforms.
no code implementations • 23 Oct 2021 • Suho Shin, Seungjoon Lee, Jungseul Ok
We consider a multi-armed bandit problem in which a set of arms is registered by each agent, and the agent receives reward when its arm is selected.