Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection.
Sang-Yun OhOnkar DalalKshitij KhareBala RajaratnamPublished in: NIPS (2014)
Keyphrases
- model selection
- optimization methods
- cross validation
- optimization method
- simulated annealing
- hyperparameters
- optimization problems
- parameter estimation
- markov networks
- statistical learning
- regression model
- sample size
- machine learning
- probabilistic graphical models
- variable selection
- mixture model
- random fields
- high dimensional
- gaussian process
- marginal likelihood
- feature selection
- data mining
- optimization algorithm
- prior knowledge
- evolutionary algorithm
- information criterion