Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
Wang LuJindong WangYidong WangXing XiePublished in: SDM (2024)
Keyphrases
- model selection
- cross validation
- learning machines
- parameter estimation
- optimization method
- hyperparameters
- sample size
- machine learning
- bayesian learning
- generalization bounds
- statistical learning
- mixture model
- model selection criteria
- error estimation
- meta learning
- feature selection
- regression model
- motion segmentation
- statistical inference
- marginal likelihood
- parameter determination
- generalization error
- variable selection
- bayesian methods
- bayesian information criterion
- information criterion
- hypothesis tests
- bayesian model selection
- data mining
- probabilistic model
- objective function
- automatic model selection