13 citations · 27 across the 5 of their papers we have counts for
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cs.LG2022★ 11 cited
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
Erdun Gao, Ignavier Ng, Mingming Gong +5
State-of-the-art causal discovery methods usually assume that the observational data is complete. However, the missing data problem is pervasive in many practical scenarios such as…
cs.LG2021★ 13 cited
FedDAG: Federated DAG Structure Learning
Erdun Gao, Junjia Chen, Li Shen +3
To date, most directed acyclic graphs (DAGs) structure learning approaches require data to be stored in a central server. However, due to the consideration of privacy protection, d…