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cs.LG2025
Causal Bandit Over Unknown Graphs: Upper Confidence Bounds With Backdoor Adjustment
Yijia Zhao, Qing Zhou
The causal bandit problem seeks to identify, through sequential experimentation, an intervention that maximizes the expected reward in a causal system modeled by a directed acyclic…
cs.LG2024
Causal Discovery on Dependent Binary Data
Alex Chen, Qing Zhou
The assumption of independence between observations (units) in a dataset is prevalent across various methodologies for learning causal graphical models. However, this assumption of…