Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks.
Waleed MustafaPhilipp LiznerskiAntoine LedentDennis WagnerPuyu WangMarius KloftPublished in: AISTATS (2024)
Keyphrases
- generalization bounds
- neural network
- data dependent
- learning theory
- generalization ability
- convex combinations
- model selection
- ranking algorithm
- learning problems
- vc dimension
- pattern recognition
- statistical learning theory
- linear classifiers
- uniform convergence
- genetic algorithm
- back propagation
- artificial neural networks
- bp neural network
- neural network model
- fuzzy logic
- empirical risk
- support vector machine
- learning algorithm
- kernel machines
- machine learning
- ranking functions
- generalization error
- statistical learning
- optimal solution
- real valued
- fault diagnosis
- support vector machine svm
- special case
- web search
- upper bound