1 citations · 3 across the 12 of their papers we have counts for
6 papers · 1 filter
Replication-proof Bandit Mechanism Design with Bayesian Agents
Suho Shin, Seyed A. Esmaeili, MohammadTaghi Hajiaghayi
We study the problem of designing replication-proof bandit mechanisms when agents strategically register or replicate their own arms to maximize their payoff. Specifically, we cons…
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin +1
We present an oracle-efficient relaxation for the adversarial contextual bandits problem, where the contexts are sequentially drawn i.i.d from a known distribution and the cost seq…
Online Advertisements with LLMs: Opportunities and Challenges
Soheil Feizi, MohammadTaghi Hajiaghayi, Keivan Rezaei +1
This paper explores the potential for leveraging Large Language Models (LLM) in the realm of online advertising systems. We introduce a general framework for LLM advertisement, con…
Regret Analysis of Repeated Delegated Choice
MohammadTaghi Hajiaghayi, Mohammad Mahdavi, Keivan Rezaei +1
We present a study on a repeated delegated choice problem, which is the first to consider an online learning variant of Kleinberg and Kleinberg, EC'18. In this model, a principal i…
Delegating to Multiple Agents
MohammadTaghi Hajiaghayi, Keivan Rezaei, Suho Shin
We consider a multi-agent delegation mechanism without money. In our model, given a set of agents, each agent has a fixed number of solutions which is exogenous to the mechanism, a…
Bandit Social Learning: Exploration under Myopic Behavior
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin +1
We study social learning dynamics motivated by reviews on online platforms. The agents collectively follow a simple multi-armed bandit protocol, but each agent acts myopically, wit…