Fast Model Selection and Hyperparameter Tuning for Generative Models.
Luming ChenSujit K. GhoshPublished in: Entropy (2024)
Keyphrases
- model selection
- generative model
- hyperparameters
- mixture model
- cross validation
- bayesian framework
- probabilistic model
- discriminative models
- statistical learning
- discriminative learning
- generalization error
- machine learning
- sample size
- regression model
- parameter estimation
- conditional random fields
- gaussian process
- em algorithm
- posterior probability
- selection criterion
- model selection criteria
- posterior distribution
- topic models
- semi supervised learning
- feature selection
- semi supervised
- gaussian processes
- parameter settings
- bayesian networks
- hidden variables
- likelihood function
- training data
- similarity measure
- learning algorithm