PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees.
Jonas RothfussVincent FortuinAndreas KrausePublished in: CoRR (2020)
Keyphrases
- meta learning
- bayes optimal
- inductive learning
- learning curve
- model selection
- learning tasks
- generalization error
- sample complexity
- machine learning algorithms
- version space
- feature selection
- decision trees
- upper bound
- data mining
- learning algorithm
- vc dimension
- pac learning
- machine learning
- distribution free
- sample size
- metamodel
- base classifiers
- data sets
- cross validation
- multi label