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Unsuitability of NOTEARS for Causal Graph Discovery

The field of Causal Discovery aims to identify causal relationships from purely observational data. In this paper, causaLens demonstrates that NOTEARS — a popular causal discovery method — is not suitable for identifying truly causal relationships from data.


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This paper proves that NOTEARS lacks scale-invariance by showing how a simple rescaling of the variables can lead to a large alteration of the derived DAG.