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cs.LG2021
Causal KL: Evaluating Causal Discovery
Rodney T. O'Donnell, Kevin B. Korb, Lloyd Allison
The two most commonly used criteria for assessing causal model discovery with artificial data are edit-distance and Kullback-Leibler divergence, measured from the true model to the…
cs.LG2021★ 5 cited
Markov Blanket Discovery using Minimum Message Length
Yang Li, Kevin B Korb, Lloyd Allison
Causal discovery automates the learning of causal Bayesian networks from data and has been of active interest from their beginning. With the sourcing of large data sets off the int…