Meisami, Amirhossein

8 publications

NeurIPS 2023 Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang

CLeaR 2022 Efficient Reinforcement Learning with Prior Causal Knowledge Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

AISTATS 2021 Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns Ziping Xu, Amirhossein Meisami, Ambuj Tewari

AISTATS 2021 Low-Rank Generalized Linear Bandit Problems Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

NeurIPS 2021 Causal Bandits with Unknown Graph Structure Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

ACML 2020 Constrained Reinforcement Learning via Policy Splitting Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami

UAI 2020 Regret Analysis of Bandit Problems with Causal Background Knowledge Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, William Yan

UAI 2018 Sequential Learning Under Probabilistic Constraints Amirhossein Meisami, Henry Lam, Chen Dong, Abhishek Pani