A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning.
Sunny DuanNicholas WattersLoic MattheyChristopher P. BurgessAlexander LerchnerIrina HigginsPublished in: CoRR (2019)
Keyphrases
- model selection
- statistical learning
- cross validation
- unsupervised learning
- bayesian learning
- meta learning
- hyperparameters
- supervised learning
- mixture model
- covariate shift
- learning machines
- bayesian methods
- automatic model selection
- learning algorithm
- machine learning
- learning tasks
- parameter estimation
- prior knowledge
- regression model
- active learning
- image segmentation
- semi supervised
- incremental learning
- generalization error
- mutual information
- selection criterion
- error estimation
- bayesian information criterion
- leave one out cross validation
- naive bayes
- sample size