Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning.
Jiechao GuanZhiwu LuPublished in: ICML (2022)
Keyphrases
- pac bayesian
- meta learning
- generalization bounds
- model selection
- learning problems
- learning tasks
- data dependent
- learning theory
- cross validation
- generalization ability
- machine learning algorithms
- inductive learning
- machine learning
- learning machines
- vc dimension
- statistical learning theory
- sample size
- empirical risk minimization
- statistical learning
- feature selection
- ranking algorithm
- linear classifiers
- data mining
- decision trees
- ranking functions
- unsupervised learning
- multi class
- distribution free