Generalization bounds for Kernel Canonical Correlation Analysis.
Enayat UllahRaman AroraPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- generalization bounds
- kernel canonical correlation analysis
- learning theory
- data dependent
- generalization ability
- ranking algorithm
- convex combinations
- statistical learning theory
- vc dimension
- linear classifiers
- model selection
- learning problems
- semi supervised
- ranking functions
- ensemble methods
- learning algorithm
- statistical learning
- distance measure
- learning machines
- support vector machine
- reinforcement learning
- learning tasks
- benchmark datasets
- semi supervised learning
- upper bound
- special case