TSCD recovers causal orders and parameters in DAGs from second-order statistics using a logarithmic number of interventions under linear SEM with uncorrelated noise.
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Tensor-based second-order causal discovery
TSCD recovers causal orders and parameters in DAGs from second-order statistics using a logarithmic number of interventions under linear SEM with uncorrelated noise.