Discussion: Latent variable graphical model selection via convex optimization
Emmanuel J. CandèsMahdi SoltanolkotabiPublished in: CoRR (2012)
Keyphrases
- convex optimization
- graphical models
- latent variables
- probabilistic model
- random variables
- factor graphs
- approximate inference
- belief propagation
- exact inference
- probabilistic inference
- latent variable models
- bayesian networks
- posterior distribution
- structure learning
- conditional random fields
- hidden variables
- gaussian process
- structured prediction
- generative model
- total variation
- topic models
- markov networks
- prior knowledge
- machine learning
- latent space
- bayesian inference
- belief networks
- probability distribution
- support vector
- reinforcement learning
- image sequences