Conditional independence testing under misspecified inductive biases.
Felipe Maia PoloYuekai SunMoulinath BanerjeePublished in: NeurIPS (2023)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- graphical models
- probability distribution
- structure learning
- learning bayesian networks
- directed acyclic graph
- causal models
- possibility theory
- probability theory
- bayesian network structure
- gaussian model
- axiomatic characterization
- inductive learning
- machine learning
- structure and parameter learning
- knowledge representation
- causal discovery
- inductive bias
- markov property
- causal independence
- statistical independence
- mutual information
- inductive logic programming
- conditional random fields
- conditional independence tests
- markov chain