Latent Variable Models for Bayesian Causal Discovery.
Jithendaraa SubramanianYashas AnnadaniIvaxi ShethStefan BauerDerek NowrouzezahraiSamira Ebrahimi KahouPublished in: CoRR (2022)
Keyphrases
- causal discovery
- latent variable models
- bayesian networks
- latent variables
- causal relationships
- hidden variables
- posterior distribution
- causal models
- real valued
- discovery process
- hidden markov models
- directed acyclic graph
- conditional independence
- probabilistic model
- latent dirichlet allocation
- bayesian learning
- posterior probability
- random variables
- latent space
- learning problems
- discriminative learning
- gaussian process
- maximum likelihood
- graphical models
- gaussian processes
- data mining
- markov networks
- approximate inference
- topic models
- probability distribution