Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization.
Pan XuJian MaQuanquan GuPublished in: NIPS (2017)
Keyphrases
- graphical models
- latent variables
- probabilistic model
- random variables
- factor graphs
- approximate inference
- probabilistic graphical models
- belief propagation
- optimization problems
- exact inference
- probabilistic inference
- conditional random fields
- latent variable models
- posterior distribution
- real valued
- structure learning
- markov networks
- prior knowledge
- gaussian process
- bayesian networks
- conditional independence
- belief networks
- generative model
- convex optimization
- topic models
- latent space
- conditional dependencies
- hidden variables
- bayesian inference
- message passing
- conditional probabilities
- expectation maximization
- co occurrence
- probability distribution
- probabilistic latent semantic analysis
- feature space
- reinforcement learning
- training data
- machine learning