Dimension Free Generalization Bounds for Non Linear Metric Learning.
Mark KozdobaShie MannorPublished in: CoRR (2021)
Keyphrases
- metric learning
- generalization bounds
- data dependent
- learning theory
- learning problems
- generalization ability
- learning tasks
- distance metric
- multi task
- model selection
- semi supervised
- linear classifiers
- ranking algorithm
- pairwise
- distance function
- dimensionality reduction
- feature space
- kernel matrix
- vc dimension
- kernel machines
- semi supervised learning
- support vector machine
- learning machines
- machine learning
- supervised learning
- learning algorithm
- feature vectors
- active learning
- unsupervised learning