Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness.
Wei WeiJiahuan ZhouYing WuPublished in: CoRR (2023)
Keyphrases
- empirical risk minimization
- structure preserving
- vc dimension
- uniform convergence
- statistical learning theory
- empirical risk
- dimensionality reduction
- rates of convergence
- computationally tractable
- generalization bounds
- phase transition
- statistical learning
- pattern recognition
- sufficient conditions
- high dimensional
- supervised classification
- generalization ability
- learning problems
- loss function
- worst case
- upper bound