PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees.
Jonas RothfussVincent FortuinMartin JosifoskiAndreas KrausePublished in: ICML (2021)
Keyphrases
- meta learning
- bayes optimal
- learning curve
- model selection
- learning tasks
- inductive learning
- generalization error
- sample complexity
- machine learning algorithms
- version space
- decision trees
- sample size
- machine learning
- cross validation
- data mining
- pac learning
- feature selection
- upper bound
- metamodel
- distribution free
- learning algorithm
- vc dimension
- base classifiers
- lower bound
- supervised learning
- active learning