Amirhossein Meisami

According to our database, Amirhossein Meisami authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution.

Jun Tao, Qian Chen, James W. Snyder Jr., Arava Sai Kumar, Amirhossein Meisami, Lingzhou Xue

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems.

Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang

CoRR, 2022

Efficient Reinforcement Learning with Prior Causal Knowledge.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Causal Markov Decision Processes: Learning Good Interventions Efficiently.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

CoRR, 2021

Causal Bandits with Unknown Graph Structure.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns.

Ziping Xu, Amirhossein Meisami, Ambuj Tewari

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Low-Rank Generalized Linear Bandit Problems.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Regret Analysis of Bandit Problems with Causal Background Knowledge.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, William Yan

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Constrained Reinforcement Learning via Policy Splitting.

Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Regret Analysis of Causal Bandit Problems.

Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan

CoRR, 2019

2018

Sequential Learning under Probabilistic Constraints.

Amirhossein Meisami, Henry Lam, Chen Dong, Abhishek Pani

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017

Uncertainty quantification on simulation analysis driven by random forests.

Amirhossein Meisami, Mark P. Van Oyen, Henry Lam

Proceedings of the 2017 Winter Simulation Conference, 2017

2014

A Hybrid Metaheuristic for the Maximum k-Plex Problem.

Krishna Reddy Gujjula, Krishnan Ayalur Seshadrinathan, Amirhossein Meisami

Proceedings of the Examining Robustness and Vulnerability of Networked Systems, 2014