Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge.
Shahine BouabidJake FawkesDino SejdinovicPublished in: ICML (2023)
Keyphrases
- causal knowledge
- conditional probabilities
- bayesian networks
- probabilistic model
- diagnostic knowledge
- causal relationships
- linear regression
- causal explanation
- model selection
- regression model
- causal reasoning
- generative model
- probabilistic inference
- prior knowledge
- support vector
- fuzzy cognitive maps
- knowledge base