On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge.
Bryan AndrewsPublished in: AISTATS (2020)
Keyphrases
- background knowledge
- causal discovery
- causal models
- causal relationships
- domain knowledge
- inductive logic programming
- causal structure
- logic programs
- bayesian networks
- discovery process
- prior knowledge
- directed acyclic graph
- conditional independence
- representation language
- semantic information
- latent variables
- labeled data
- reference set
- observational data
- world knowledge
- feature selection
- knowledge base
- additional knowledge
- decision trees
- probabilistic inference
- probabilistic model
- information retrieval