PAC-Bayesian Generalization Bounds for Adversarial Generative Models.
Sokhna Diarra MbackeFlorence ClercPascal GermainPublished in: CoRR (2023)
Keyphrases
- generative model
- pac bayesian
- generalization bounds
- data dependent
- learning theory
- generalization ability
- model selection
- ranking algorithm
- vc dimension
- probabilistic model
- statistical learning theory
- linear classifiers
- learning problems
- bayesian framework
- prior knowledge
- em algorithm
- semi supervised
- ranking functions
- learning machines
- support vector machine
- kernel machines
- expectation maximization
- statistical learning
- upper bound
- support vector
- sample size
- supervised learning
- loss function
- machine learning
- learning tasks