Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations.
Pan XuJian MaQuanquan GuPublished in: CoRR (2017)
Keyphrases
- latent variables
- graphical models
- probabilistic model
- random variables
- factor graphs
- probabilistic graphical models
- approximate inference
- belief propagation
- probabilistic inference
- exact inference
- latent variable models
- posterior distribution
- conditional random fields
- bayesian networks
- structure learning
- markov networks
- topic models
- real valued
- gaussian process
- bayesian inference
- belief networks
- prior knowledge
- convex optimization
- conditional independence
- machine learning
- conditional probabilities
- parameter estimation
- probabilistic latent semantic analysis
- structured prediction
- text mining
- information retrieval
- training data
- objective function
- high dimensional
- generative model
- hidden variables
- message passing