PACER guarantees acyclicity by construction for causal discovery by jointly modeling permutations and edge probabilities, supporting unified treatment of observational and interventional data with closed-form expressions for linear-Gaussian cases.
Error bars indicate the standard deviation over three random datasets
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PACER: Acyclic Causal Discovery from Large-Scale Interventional Data
PACER guarantees acyclicity by construction for causal discovery by jointly modeling permutations and edge probabilities, supporting unified treatment of observational and interventional data with closed-form expressions for linear-Gaussian cases.