Generalization Bound of Gradient Descent for Non-Convex Metric Learning.
Mingzhi DongXiaochen YangRui ZhuYujiang WangJing-Hao XuePublished in: NeurIPS (2020)
Keyphrases
- metric learning
- semi definite programming
- positive semidefinite
- margin maximization
- distance metric
- distance metric learning
- pairwise
- semi supervised
- machine learning and pattern recognition
- learning tasks
- kernel matrix
- multi task
- dimensionality reduction
- feature space
- distance function
- mahalanobis metric
- convex optimization
- objective function
- convex relaxation
- convex hull
- neural network
- similarity search
- text classification
- data sets
- subject to linear constraints