Latent variable graphical model selection via convex optimization.
Venkat ChandrasekaranPablo A. ParriloAlan S. WillskyPublished in: Allerton (2010)
Keyphrases
- convex optimization
- graphical models
- latent variables
- probabilistic model
- random variables
- factor graphs
- approximate inference
- belief propagation
- exact inference
- probabilistic inference
- structured prediction
- markov networks
- posterior distribution
- conditional random fields
- structure learning
- hidden variables
- gaussian process
- latent variable models
- total variation
- generative model
- bayesian networks
- message passing
- belief networks
- prior knowledge
- image processing
- reinforcement learning
- topic models
- latent space
- hidden markov models
- machine learning