mixup: Beyond Empirical Risk Minimization.
Hongyi ZhangMoustapha CisséYann N. DauphinDavid Lopez-PazPublished in: CoRR (2017)
Keyphrases
- empirical risk minimization
- statistical learning theory
- uniform convergence
- vc dimension
- empirical risk
- computationally tractable
- rates of convergence
- feature space
- statistical learning
- phase transition
- generalization bounds
- kernel machines
- sample complexity
- risk minimization
- learning problems
- semi supervised
- machine learning