Uniform Convergence Bounds for Codec Selection.
Clayton SanfordCyrus CousinsEli UpfalPublished in: CoRR (2018)
Keyphrases
- uniform convergence
- covering numbers
- empirical risk minimization
- sufficient conditions
- learning rate
- generalization bounds
- upper and lower bounds
- statistical learning theory
- risk minimization
- vc dimension
- large deviations
- reproducing kernel hilbert space
- real valued
- generalization error
- upper bound
- sample complexity
- lower bound
- lower and upper bounds
- inductive inference
- bitstream