Unsupervised Model Selection for Variational Disentangled Representation Learning.
Sunny DuanLoic MattheyAndre SaraivaNick WattersChristopher BurgessAlexander LerchnerIrina HigginsPublished in: ICLR (2020)
Keyphrases
- model selection
- statistical learning
- unsupervised learning
- bayesian learning
- cross validation
- bayesian methods
- learning algorithm
- covariate shift
- learning machines
- meta learning
- parameter estimation
- supervised learning
- automatic model selection
- regression model
- hyperparameters
- active learning
- generalization error
- variable selection
- prior knowledge
- sample size
- objective function
- decision trees
- error estimation
- marginal likelihood
- machine learning