Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience.
Vaishnavh NagarajanJ. Zico KolterPublished in: CoRR (2019)
Keyphrases
- pac bayesian
- generalization bounds
- data dependent
- learning theory
- generalization ability
- model selection
- ranking algorithm
- linear classifiers
- vc dimension
- large deviations
- statistical learning theory
- learning problems
- distribution free
- ranking functions
- learning machines
- uniform convergence
- empirical risk minimization
- real valued
- inductive inference
- support vector machine
- kernel machines
- machine learning algorithms