Generalization Bounds: Perspectives from Information Theory and PAC-Bayes.
Fredrik HellströmGiuseppe DurisiBenjamin GuedjMaxim RaginskyPublished in: CoRR (2023)
Keyphrases
- information theory
- pac bayes
- generalization bounds
- data dependent
- learning theory
- information theoretic
- generalization ability
- statistical learning theory
- statistical learning
- model selection
- ranking algorithm
- linear classifiers
- learning problems
- vc dimension
- risk bounds
- empirical risk minimization
- uniform convergence
- ranking functions
- learning machines
- mutual information
- kernel machines
- machine learning
- multi class
- pattern recognition
- support vector machine
- bp neural network
- machine learning algorithms
- theoretical analysis