Amirhossein Meisami

17 papers A* 2A 4C 1Misc 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution. Manag. Sci. Jun Tao, Qian Chen, James W. Snyder Jr., Arava Sai Kumar, Amirhossein Meisami, Lingzhou Xue
2023	J	`jnl`	A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution. CoRR Jun Tao, Qian Chen, James W. Snyder Jr., Arava Sai Kumar, Amirhossein Meisami, Lingzhou Xue
2023	A*	`conf`	Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework. NeurIPS Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang
2022	—	`conf`	Efficient Reinforcement Learning with Prior Causal Knowledge. CLeaR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2022	J	`jnl`	Generalized Bayesian Upper Confidence Bound with Approximate Inference for Bandit Problems. CoRR Ziyi Huang, Henry Lam, Amirhossein Meisami, Haofeng Zhang
2021	A*	`conf`	Causal Bandits with Unknown Graph Structure. NeurIPS Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2021	J	`jnl`	Causal Bandits with Unknown Graph Structure. CoRR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2021	J	`jnl`	Causal Markov Decision Processes: Learning Good Interventions Efficiently. CoRR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2021	A	`conf`	Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns. AISTATS Ziping Xu, Amirhossein Meisami, Ambuj Tewari
2021	A	`conf`	Low-Rank Generalized Linear Bandit Problems. AISTATS Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2020	C	`conf`	Constrained Reinforcement Learning via Policy Splitting. ACML Haoxian Chen, Henry Lam, Fengpei Li, Amirhossein Meisami
2020	J	`jnl`	Low-Rank Generalized Linear Bandit Problems. CoRR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2020	A	`conf`	Regret Analysis of Bandit Problems with Causal Background Knowledge. UAI Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, William Yan
2019	J	`jnl`	Regret Analysis of Causal Bandit Problems. CoRR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan
2018	A	`conf`	Sequential Learning under Probabilistic Constraints. UAI Amirhossein Meisami, Henry Lam, Chen Dong, Abhishek Pani
2017	Misc	`conf`	Uncertainty quantification on simulation analysis driven by random forests. WSC Amirhossein Meisami, Mark P. Van Oyen, Henry Lam
2014	—	`ch.`	A Hybrid Metaheuristic for the Maximum k-Plex Problem. Examining Robustness and Vulnerability of Networked Systems Krishna Reddy Gujjula, Krishnan Ayalur Seshadrinathan, Amirhossein Meisami