Dangers of Bayesian Model Averaging under Covariate Shift.
Pavel IzmailovPatrick NicholsonSanae LotfiAndrew Gordon WilsonPublished in: CoRR (2021)
Keyphrases
- covariate shift
- model selection
- model averaging
- domain adaptation
- semi supervised learning
- data generation
- hyperparameters
- training and test data
- posterior distribution
- cross validation
- active learning
- machine learning
- semi supervised
- variable selection
- parameter estimation
- naive bayes classifier
- machine learning algorithms
- gaussian process
- text categorization
- bayesian networks
- feature selection