Large-Scale Differentiable Causal Discovery of Factor Graphs.
Romain LopezJan-Christian HütterJonathan K. PritchardAviv RegevPublished in: CoRR (2022)
Keyphrases
- causal discovery
- factor graphs
- causal models
- conditional independence
- graphical models
- bayesian networks
- causal relationships
- discovery process
- message passing
- belief propagation
- approximate inference
- directed acyclic graph
- probabilistic graphical models
- latent variables
- probabilistic inference
- observational data
- random variables
- parameter learning
- graph cuts
- probability distribution
- probabilistic model
- data analysis