Search Results for author: Shuang Chang

Found 1 papers, 1 papers with code

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

1 code implementation25 Nov 2022 Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag

In the context of linear structural equation models (SEMs), this paper focuses on learning causal structures from the inverse covariance matrix.

Causal Discovery

Cannot find the paper you are looking for? You can Submit a new open access paper.