PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability.
Alec FaridAnirudha MajumdarPublished in: CoRR (2021)
Keyphrases
- meta learning
- pac bayes
- risk bounds
- vc dimension
- generalization bounds
- empirical risk minimization
- model selection
- learning tasks
- inductive learning
- uniform convergence
- sample size
- data dependent
- machine learning algorithms
- linear classifiers
- upper bound
- sample complexity
- machine learning
- lower bound
- decision trees
- learning algorithm
- base classifiers
- generalization ability
- feature selection
- generalization error
- statistical learning theory
- data mining
- metamodel
- inductive inference
- hyperplane
- knowledge acquisition
- multi class
- learning machines
- feature space