Dynamic Expert-Guided Model Averaging for Causal Discovery

ArXi:2601.16715v2 Announce Type: replace Would-be practitioners of causal discovery face a dizzying array of algorithms without a clear best choice. This abundance of competitive methods makes ensembling a natural strategy for practical applications. At the same time, real-world use cases frequently violate the assumptions on which common causal discovery algorithms are based, forcing reliance on expert knowledge.