Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
Juliusz Krysztof ZiomekHaitham Bou-AmmarPublished in: ICML (2023)
Keyphrases
- high dimensional
- sparse data
- high dimensionality
- low dimensional
- uniformly distributed
- dimensionality reduction
- bayesian networks
- posterior probability
- similarity search
- genetic algorithm
- multi modal
- maximum likelihood
- bayesian learning
- feature space
- bayesian estimation
- high dimensional problems
- optimisation algorithm
- high dimensional data
- variable selection
- bayesian inference
- input space
- data driven
- multi dimensional
- least squares
- high dimensional spaces
- nearest neighbor
- knn
- objective function
- bayesian decision