AI RESEARCH
Expert-Aided Causal Discovery of Ancestral Graphs
arXiv CS.LG
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ArXi:2309.12032v4 Announce Type: replace Causal discovery (CD) is an important component of many scientific applications, yet most techniques produce unreliable point estimates that often contradict expert knowledge. To mitigate this, recent research has focused on ex-ante incorporation of background knowledge into the CD process, typically under an unrealistic causal sufficiency assumption. When probing experts is costly (e.g., hidden behind expensive LLM APIs), however, ex-post model refinement that maximizes query utility is preferable.