On Differentiable Bayesian Causal Structure Learning
Keywords: Causal Discovery, Structure Learning, Causality, DAGs, Bayesian Probability
TL;DR: Critical review of current Bayesian causal structure learning motivating further research on outlined issues
Abstract: This extended abstract reviews differentiable Bayesian causal structure learning (CSL) and discusses why recent works on Bayesian causal discovery published in top-tier conference do not yet meet important desiderata. In particular, we advocate against the current trend of global regularization via prior terms.
Submission Number: 16
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