Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation.
Konstantinos PitasPublished in: ICML (2020)
Keyphrases
- generalization bounds
- learning theory
- data dependent
- generalization ability
- model selection
- convex combinations
- learning problems
- vc dimension
- linear classifiers
- ranking algorithm
- statistical learning theory
- ranking functions
- uniform convergence
- kernel machines
- learning algorithm
- kernel methods
- theoretical framework
- ensemble learning
- granular computing
- real valued
- sample complexity
- supervised classification
- neural network
- cross validation
- web search
- multi class
- support vector machine
- search engine
- machine learning