Large-Scale Differentiable Causal Discovery of Factor Graphs.
Romain LopezJan-Christian HütterJonathan K. PritchardAviv RegevPublished in: NeurIPS (2022)
Keyphrases
- causal discovery
- factor graphs
- conditional independence
- causal models
- graphical models
- bayesian networks
- message passing
- causal relationships
- belief propagation
- approximate inference
- discovery process
- latent variables
- directed acyclic graph
- exact inference
- probabilistic inference
- distributed systems
- markov networks
- data mining
- stereo matching
- higher order
- observational data