Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias.
Sina AkbariEhsan MokhtarianAmirEmad GhassamiNegar KiyavashPublished in: CoRR (2021)
Keyphrases
- latent variables
- causal structure
- latent variable models
- causal relationships
- prior knowledge
- causal discovery
- learning algorithm
- structured output
- learning process
- hidden variables
- reinforcement learning
- random variables
- probabilistic model
- databases
- causal bayesian networks
- semi supervised
- domain specific
- learning problems
- gaussian process
- active learning
- structured prediction
- observational data
- bayesian networks
- structural svms