Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
Wang LuJindong WangYidong WangKan RenYiqiang ChenXing XiePublished in: CoRR (2022)
Keyphrases
- model selection
- cross validation
- learning machines
- hyperparameters
- error estimation
- generalization bounds
- parameter estimation
- machine learning
- statistical learning
- regression model
- sample size
- feature selection
- bayesian learning
- optimization method
- variable selection
- motion segmentation
- selection criterion
- leave one out cross validation
- mixture model
- information criterion
- bayesian information criterion
- automatic model selection
- gaussian process
- statistical inference
- optimization criteria
- generalization error
- kernel matrix
- bayesian methods
- meta learning
- bayesian inference
- prior knowledge