Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.
Andrew JessonPanagiotis TigasJoost van AmersfoortAndreas KirschUri ShalitYarin GalPublished in: NeurIPS (2021)
Keyphrases
- causal effects
- observational data
- active learning
- causal bayesian networks
- experimental data
- causal relations
- bayesian networks
- causal relationships
- causal discovery
- causal models
- directed acyclic graph
- causal structure
- causal inference
- belief nets
- latent variables
- sample size
- linear models
- semi supervised
- bayesian inference
- machine learning
- discovery process
- random sampling
- bayesian methods
- experimental design
- random variables
- markov chain
- causal networks
- directed graph
- upper bound
- decision trees
- data mining