Uniform Convergence of Adversarially Robust Classifiers.
Rachel MorrisRyan MurrayPublished in: CoRR (2024)
Keyphrases
- uniform convergence
- sufficient conditions
- gaussian kernels
- decision trees
- training data
- generalization bounds
- statistical learning theory
- empirical risk minimization
- data sets
- class labels
- support vector
- learning rate
- reproducing kernel hilbert space
- ensemble learning
- large deviations
- supervised learning
- training set