Discussion: Latent variable graphical model selection via convex optimization
Steffen L. LauritzenNicolai MeinshausenPublished in: CoRR (2012)
Keyphrases
- convex optimization
- graphical models
- latent variables
- probabilistic model
- random variables
- approximate inference
- factor graphs
- belief propagation
- exact inference
- probabilistic inference
- markov networks
- structured prediction
- total variation
- latent variable models
- posterior distribution
- conditional random fields
- structure learning
- hidden variables
- gaussian process
- generative model
- bayesian networks
- bayesian inference
- topic models
- latent space
- image restoration
- expectation maximization
- variational methods
- prior knowledge
- image denoising
- hidden markov models
- object recognition