Causal Effect Identification in a Sub-Population with Latent Variables.
Amir Mohammad AboueiEhsan MokhtarianNegar KiyavashMatthias GrossglauserPublished in: CoRR (2024)
Keyphrases
- latent variables
- probabilistic model
- prior knowledge
- random variables
- hidden variables
- gaussian process
- variational bayes
- hierarchical model
- posterior distribution
- latent variable models
- topic models
- approximate inference
- structural svms
- real valued
- factor graphs
- structured prediction
- max margin
- latent space
- causal relationships
- knowledge representation
- conditionally independent
- databases
- latent topics
- maximum likelihood
- structured output
- observed variables
- structural svm