PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network.
Tan SunJunhong LinPublished in: CoRR (2024)
Keyphrases
- pac bayesian
- generalization bounds
- neural network
- data dependent
- generalization ability
- learning theory
- model selection
- vc dimension
- ranking algorithm
- learning problems
- empirical risk minimization
- bp neural network
- linear classifiers
- back propagation
- large deviations
- distribution free
- statistical learning theory
- learning algorithm
- uniform convergence
- artificial neural networks
- pattern recognition
- kernel machines
- machine learning
- multi class
- ranking functions
- theoretical framework
- learning machines
- feature space
- lower bound
- upper bound
- rademacher complexity