Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations.
Gaurav SinhaAyush ChauhanAurghya MaitiNaman PoddarPulkit GoelPublished in: CoRR (2019)
Keyphrases
- causal bayesian networks
- observational data
- bayesian networks
- causal structure
- causal networks
- observable variables
- active learning
- experimental data
- possibilistic networks
- causal relationships
- directed acyclic graph
- causal discovery
- causal models
- sample size
- causal effects
- decision making
- real world
- expectation maximization
- least squares
- state space
- probabilistic model
- learning environment