Ordering-Based Causal Structure Learning in the Presence of Latent Variables.
Daniel Irving BernsteinBasil SaeedChandler SquiresCaroline UhlerPublished in: CoRR (2019)
Keyphrases
- latent variables
- structure learning
- bayesian networks
- probabilistic model
- graphical models
- random variables
- conditional independence
- causal relationships
- posterior distribution
- observed variables
- hidden variables
- approximate inference
- probabilistic graphical models
- markov logic networks
- parameter learning
- markov networks
- belief propagation
- topic models
- prior knowledge
- probability distribution
- causal discovery
- gaussian process
- parameter estimation
- exact inference
- conditional probabilities
- transfer learning
- sample size
- dependency structure
- structured prediction
- max margin
- directed acyclic graph
- probabilistic inference
- high dimensional
- pairwise
- generative model
- active learning
- incomplete data
- bayesian inference
- network structure
- conditional random fields
- least squares
- information retrieval