Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.
Andrew JessonPanagiotis TigasJoost van AmersfoortAndreas KirschUri ShalitYarin GalPublished in: CoRR (2021)
Keyphrases
- causal effects
- observational data
- active learning
- causal relations
- causal bayesian networks
- experimental data
- bayesian networks
- causal structure
- causal discovery
- causal models
- causal inference
- causal relationships
- belief nets
- directed acyclic graph
- linear models
- sample size
- latent variables
- maximum likelihood
- learning algorithm
- causal networks
- gaussian processes
- bayesian inference
- experimental design
- machine learning
- bayesian methods
- information extraction
- learning process
- training set
- computational complexity
- real world