PAC-Bayesian Generalization Bounds for Adversarial Generative Models.
Sokhna Diarra MbackeFlorence ClercPascal GermainPublished in: ICML (2023)
Keyphrases
- pac bayesian
- generative model
- generalization bounds
- learning theory
- data dependent
- generalization ability
- probabilistic model
- model selection
- ranking algorithm
- learning problems
- linear classifiers
- vc dimension
- statistical learning theory
- prior knowledge
- em algorithm
- bayesian framework
- semi supervised
- ranking functions
- expectation maximization
- support vector machine svm
- learning machines
- kernel machines
- high dimensional
- maximum likelihood
- multi class