Combined Bayesian and RNN-Based Hyperparameter Optimization for Efficient Model Selection Applied for autoML.
Ruei-Sing GuanYu-Chee TsengJen-Jee ChenPo-Tsun KuoPublished in: ICS (2022)
Keyphrases
- model selection
- bayesian learning
- hyperparameters
- cross validation
- statistical inference
- parameter estimation
- marginal likelihood
- gaussian process
- regression model
- bayesian methods
- bayesian model selection
- covariate shift
- model selection criteria
- statistical learning
- machine learning
- selection criterion
- mixture model
- sample size
- posterior distribution
- error estimation
- gaussian processes
- recurrent neural networks
- variable selection
- feature selection
- bayesian approaches
- information criterion
- meta learning
- nearest neighbor
- generalization error
- parameter determination
- bayesian networks
- bayesian information criterion
- grid search
- maximum likelihood