4 papers · 1 filter
Linear Causal Bandits: Unknown Graph and Soft Interventions
Zirui Yan, Ali Tajer
Designing causal bandit algorithms depends on two central categories of assumptions: (i) the extent of information about the underlying causal graphs and (ii) the extent of informa…
Improved Bound for Robust Causal Bandits with Linear Models
Zirui Yan, Arpan Mukherjee, Burak Varıcı +1
This paper investigates the robustness of causal bandits (CBs) in the face of temporal model fluctuations. This setting deviates from the existing literature's widely-adopted assum…
Causal Bandits with General Causal Models and Interventions
Zirui Yan, Dennis Wei, Dmitriy Katz-Rogozhnikov +2
This paper considers causal bandits (CBs) for the sequential design of interventions in a causal system. The objective is to optimize a reward function via minimizing a measure of…
Robust Causal Bandits for Linear Models
Zirui Yan, Arpan Mukherjee, Burak Varıcı +1
Sequential design of experiments for optimizing a reward function in causal systems can be effectively modeled by the sequential design of interventions in causal bandits (CBs). In…