Learning Large Causal Structures from Inverse Covariance Matrix via Sparse Matrix Decomposition

Shuyu Dong, Kento Uemura, Akito Fujii +4

Learning causal structures from observational data is a fundamental problem facing important computational challenges when the number of variables is large. In the context of linea…