A unified framework for information-theoretic generalization bounds.
Yifeng ChuMaxim RaginskyPublished in: NeurIPS (2023)
Keyphrases
- information theoretic
- generalization bounds
- learning theory
- data dependent
- generalization ability
- mutual information
- model selection
- information theory
- vc dimension
- learning problems
- linear classifiers
- ranking algorithm
- statistical learning theory
- learning machines
- ranking functions
- cross validation
- support vector machine svm
- supervised learning
- kernel machines
- support vector
- computer vision
- learning tasks
- support vector machine