Rejoinder: Latent variable graphical model selection via convex optimization
Venkat ChandrasekaranPablo A. ParriloAlan S. WillskyPublished in: CoRR (2012)
Keyphrases
- convex optimization
- model selection
- latent variables
- cross validation
- gaussian process
- probabilistic model
- hyperparameters
- random variables
- parameter estimation
- posterior distribution
- prior knowledge
- hidden variables
- regression model
- total variation
- low rank
- structured prediction
- feature selection
- machine learning
- topic models
- approximate inference
- gaussian processes
- variable selection
- generalization error
- machine learning algorithms
- higher order