Asymptotics in Empirical Risk Minimization.
Leila MohammadiSara A. van de GeerPublished in: J. Mach. Learn. Res. (2005)
Keyphrases
- empirical risk minimization
- uniform convergence
- sufficient conditions
- large deviations
- generalization bounds
- empirical risk
- statistical learning theory
- markov chain
- rates of convergence
- vc dimension
- heavy traffic
- computationally tractable
- loss function
- learning theory
- generalization ability
- phase transition
- supervised learning
- machine learning
- supervised classification
- risk minimization
- learning problems