Time-independent Generalization Bounds for SGLD in Non-convex Settings.
Tyler FarghlyPatrick RebeschiniPublished in: CoRR (2021)
Keyphrases
- generalization bounds
- convex combinations
- data dependent
- learning theory
- generalization ability
- model selection
- vc dimension
- linear classifiers
- learning problems
- ranking algorithm
- ranking functions
- convex hull
- kernel machines
- statistical learning theory
- boosting algorithms
- multi class
- uniform convergence
- learning algorithm
- learning machines
- support vector machine