A General framework for PAC-Bayes Bounds for Meta-Learning.
Arezou RezazadehPublished in: CoRR (2022)
Keyphrases
- pac bayes
- meta learning
- generalization bounds
- risk bounds
- model selection
- inductive learning
- learning tasks
- data dependent
- machine learning algorithms
- linear classifiers
- feature selection
- decision trees
- machine learning
- empirical risk minimization
- metamodel
- learning algorithm
- data mining
- base classifiers
- learning problems
- vc dimension
- learning theory
- supervised learning
- upper bound
- generalization ability
- statistical learning theory
- prior knowledge