Causal Discovery with Fewer Conditional Independence Tests.
Kirankumar ShiragurJiaqi ZhangCaroline UhlerPublished in: CoRR (2024)
Keyphrases
- causal discovery
- conditional independence
- conditional independence tests
- causal models
- bayesian networks
- structure learning
- directed acyclic graph
- graphical models
- causal structure
- random variables
- causal relationships
- probability distribution
- structural learning
- discovery process
- machine learning
- belief propagation
- random walk
- graph cuts
- probabilistic model
- data analysis
- decision making
- information retrieval