Probabilistic Active Learning of Functions in Structural Causal Models.
Paul K. RubensteinIlya O. TolstikhinPhilipp HennigBernhard SchölkopfPublished in: CoRR (2017)
Keyphrases
- causal models
- active learning
- structural model
- causal discovery
- conditional independence
- causal reasoning
- bayes nets
- causal relationships
- causal inference
- causal relations
- structural equation models
- probabilistic model
- generative model
- directed acyclic graph
- random sampling
- causal structure
- learning strategies
- bayesian networks
- selective sampling
- causal graph
- dependency graphs
- learning algorithm
- additive noise
- experimental data
- online learning
- logic programs
- semi supervised
- decision trees