Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience.
Vaishnavh NagarajanJ. Zico KolterPublished in: ICLR (Poster) (2019)
Keyphrases
- pac bayesian
- generalization bounds
- data dependent
- learning theory
- generalization ability
- model selection
- learning problems
- vc dimension
- statistical learning theory
- linear classifiers
- ranking algorithm
- large deviations
- distribution free
- uniform convergence
- empirical risk minimization
- kernel machines
- support vector machine
- learning tasks
- rademacher complexity
- learning algorithm
- bp neural network
- ranking functions
- reproducing kernel hilbert space