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