Bayesian Optimization in a Billion Dimensions via Random Embeddings
Ziyu WangMasrour ZoghiFrank HutterDavid MathesonNando de FreitasPublished in: CoRR (2013)
Keyphrases
- optimization process
- optimization problems
- optimization algorithm
- global optimization
- efficient optimization
- optimization method
- vector space
- optimization model
- bayesian learning
- bayesian networks
- model selection
- data driven
- nearest neighbor
- euclidean space
- bayesian inference
- lower bound
- constrained optimization
- uniformly distributed