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.
The dataset contains 7467 measurements across 11 proteins
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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.