Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability.
Alec FaridAnirudha MajumdarPublished in: NeurIPS (2021)
Keyphrases
- meta learning
- generalization bounds
- pac bayes
- model selection
- empirical risk minimization
- uniform convergence
- learning tasks
- learning problems
- data dependent
- cross validation
- generalization ability
- learning theory
- risk bounds
- hyperparameters
- machine learning
- statistical learning theory
- sample size
- inductive learning
- vc dimension
- linear classifiers
- machine learning algorithms
- decision trees
- feature selection
- ranking algorithm
- learning machines
- statistical learning
- base classifiers
- upper bound
- data mining
- ranking functions
- unsupervised learning
- hyperplane
- training set
- kernel machines
- reinforcement learning
- text categorization