Learning the effect of latent variables in Gaussian Graphical models with unobserved variables.
Marina VinyesGuillaume ObozinskiPublished in: CoRR (2018)
Keyphrases
- latent variables
- hidden variables
- latent variable models
- structured output
- prior knowledge
- observed variables
- structural svms
- probabilistic model
- gaussian graphical models
- active learning
- structural svm
- em algorithm
- random variables
- posterior distribution
- max margin
- bayesian networks
- variable selection
- generative model
- gaussian process
- conditionally independent
- structured prediction
- approximate inference
- factor graphs
- semi supervised
- high dimensional
- learning algorithm