Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces.
Johannes KirschnerMojmír MutnýNicole HillerRasmus IschebeckAndreas KrausePublished in: CoRR (2019)
Keyphrases
- high dimensions
- high dimensional data
- high dimensional
- low dimensional
- indexing schemes
- dimensionality reduction
- nearest neighbor
- high dimensional spaces
- multi dimensional
- neural network
- data sets
- data analysis
- bayesian networks
- data points
- high quality
- data distribution
- high dimensionality
- stochastic gradient
- dimensional data
- sparse representation
- image classification
- distance measure
- feature space
- pattern recognition