Bayesian Optimization in a Billion Dimensions via Random Embeddings.
Ziyu WangFrank HutterMasrour ZoghiDavid MathesonNando de FreitasPublished in: J. Artif. Intell. Res. (2016)
Keyphrases
- optimization algorithm
- global optimization
- optimization process
- optimization problems
- bayesian estimation
- optimization method
- monte carlo sampling
- bayesian networks
- database
- optimization model
- bayesian framework
- bayesian decision
- efficient optimization
- bayesian learning
- uniformly distributed
- evolution strategy
- constrained optimization
- bayesian inference
- optimization methods
- combinatorial optimization
- vector space
- data driven
- objective function
- decision trees
- learning algorithm