High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds.
Noémie JaquierLeonel Dario RozoPublished in: NeurIPS (2020)
Keyphrases
- riemannian manifolds
- high dimensional
- euclidean space
- parameter space
- low dimensional
- feature space
- data points
- similarity search
- manifold learning
- multi class classification
- vector space
- maximum likelihood
- bayesian networks
- dimensionality reduction
- multi dimensional
- multi class
- high dimensional data
- dimension reduction
- query processing