Masked Gradient-Based Causal Structure Learning

18 Oct 2019Ignavier NgZhuangyan FangShengyu ZhuZhitang ChenJun Wang

This paper studies the problem of learning causal structures from observational data. We reformulate the Structural Equation Model (SEM) in an augmented form with a binary graph adjacency matrix and show that, if the original SEM is identifiable, then this augmented form can be identified up to super-graphs of the true causal graph under mild conditions... (read more)

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