Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization.
Devansh ArpitHuan WangYingbo ZhouCaiming XiongPublished in: CoRR (2021)
Keyphrases
- model selection
- feature selection
- cross validation
- learning machines
- generalization bounds
- ensemble learning
- ensemble methods
- hyperparameters
- parameter estimation
- machine learning
- base classifiers
- sample size
- mixture model
- learning algorithm
- bayesian learning
- regression model
- weak learners
- statistical learning
- generalization error
- meta learning
- selection criterion
- gaussian process
- information criterion
- statistical inference
- model selection criteria
- marginal likelihood
- bayesian information criterion
- error estimation
- leave one out cross validation
- variable selection
- training data
- training set
- active learning
- markov random field
- weak classifiers
- bayesian methods
- learning theory