Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization.
Devansh ArpitHuan WangYingbo ZhouCaiming XiongPublished in: NeurIPS (2022)
Keyphrases
- model selection
- feature selection
- cross validation
- ensemble methods
- learning machines
- ensemble learning
- generalization bounds
- weak learners
- parameter estimation
- machine learning
- bayesian learning
- regression model
- hyperparameters
- base classifiers
- generalization error
- statistical learning
- sample size
- error estimation
- mixture model
- learning algorithm
- linear classifiers
- statistical inference
- leave one out cross validation
- information criterion
- gaussian process
- meta learning
- variable selection
- model selection criteria
- random forest
- text classification
- parameter determination
- marginal likelihood
- automatic model selection
- posterior distribution
- bayesian model selection
- decision trees
- support vector
- classification accuracy
- boosting algorithms
- weak classifiers