Empirical Risk Minimization for Losses without Variance.
Guanhua FangPing LiGennady SamorodnitskyPublished in: CoRR (2023)
Keyphrases
- empirical risk minimization
- uniform convergence
- statistical learning theory
- empirical risk
- vc dimension
- prediction error
- computationally tractable
- generalization bounds
- rates of convergence
- phase transition
- sufficient conditions
- machine learning
- loss function
- theoretical framework
- reproducing kernel hilbert space