Generalization bounds via distillation.
Daniel HsuZiwei JiMatus TelgarskyLan WangPublished in: CoRR (2021)
Keyphrases
- generalization bounds
- data dependent
- learning theory
- generalization ability
- convex combinations
- model selection
- ranking algorithm
- linear classifiers
- statistical learning theory
- learning problems
- vc dimension
- uniform convergence
- kernel machines
- ranking functions
- ensemble learning
- cross validation
- learning machines
- learning algorithm
- theoretical framework
- objective function
- support vector machine
- supervised classification
- sample size
- ensemble methods