Estimating linear causality in the presence of latent variables.
Nina FeiYoulong YangPublished in: Clust. Comput. (2017)
Keyphrases
- latent variables
- probabilistic model
- prior knowledge
- random variables
- posterior distribution
- latent variable models
- causal relationships
- hidden variables
- hierarchical model
- gaussian process
- real valued
- variational bayes
- topic models
- observational data
- observed variables
- max margin
- factor graphs
- structural svms
- latent space
- structural svm
- approximate inference
- structured output
- machine learning
- information extraction
- conditionally independent
- data sets