Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
Wang LuJindong WangYidong WangXing XiePublished in: CDPD (2023)
Keyphrases
- model selection
- cross validation
- learning machines
- generalization bounds
- parameter estimation
- bayesian learning
- hyperparameters
- meta learning
- sample size
- statistical inference
- optimization method
- statistical learning
- generalization error
- error estimation
- machine learning
- mixture model
- feature selection
- variable selection
- motion segmentation
- regression model
- information criterion
- marginal likelihood
- model selection criteria
- automatic model selection
- hypothesis tests
- gaussian process
- generalization ability
- closed form
- probabilistic model
- optimization criteria
- leave one out cross validation