Bayesian Optimization in High Dimensions via Random Embeddings.
Ziyu WangMasrour ZoghiFrank HutterDavid MathesonNando de FreitasPublished in: IJCAI (2013)
Keyphrases
- high dimensions
- high dimensional data
- high dimensional
- low dimensional
- indexing schemes
- vector space
- nearest neighbor
- bayesian networks
- high dimensional spaces
- data distribution
- dimensionality reduction
- feature selection
- data sets
- high dimensionality
- multiscale
- poor quality
- databases
- multi dimensional
- knn
- training set
- data structure