High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension.
Shu-Jun LiMingjia LiHong QianPublished in: PRICAI (1) (2022)
Keyphrases
- high dimensional
- intrinsic dimension
- high dimensions
- high dimensional data
- low dimensional
- dimension reduction
- dimensionality reduction
- feature space
- data points
- similarity search
- nearest neighbor
- multi dimensional
- parameter space
- diffusion maps
- bayesian networks
- intrinsic dimensionality
- maximum likelihood
- manifold learning
- feature vectors
- preprocessing