A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs.
Devansh BislaApoorva Nandini SaridenaAnna ChoromanskaPublished in: CoRR (2021)
Keyphrases
- sample complexity
- theoretical analysis
- pac learning
- vc dimension
- uniform convergence
- pac learnability
- special case
- concept classes
- learning problems
- active learning
- upper bound
- supervised learning
- generalization error
- learning algorithm
- computational learning theory
- statistical learning theory
- lower bound
- machine learning
- number of irrelevant features
- kernel methods
- sample size
- model selection
- irrelevant features
- small number
- covering numbers