Causal Discovery in Linear Latent Variable Models Subject to Measurement Error.
Yuqin YangAmirEmad GhassamiMohamed S. NafeaNegar KiyavashKun ZhangIlya ShpitserPublished in: NeurIPS (2022)
Keyphrases
- latent variable models
- measurement error
- causal discovery
- latent variables
- causal relationships
- causal models
- discovery process
- real valued
- bayesian networks
- range images
- hidden variables
- hidden markov models
- latent dirichlet allocation
- gaussian process
- directed acyclic graph
- conditional independence
- association rules
- closed form
- probabilistic model
- latent space
- data mining