Federated Bayesian Optimization via Thompson Sampling.
Zhongxiang DaiKian Hsiang LowPatrick JailletPublished in: CoRR (2020)
Keyphrases
- optimization algorithm
- monte carlo sampling
- optimization problems
- sample size
- bayesian estimation
- optimization method
- markov chain monte carlo
- sampling strategies
- sequential monte carlo
- discrete optimization
- bayesian learning
- data sets
- optimization process
- digital libraries
- sampling methods
- monte carlo
- data sources
- sampling strategy
- optimization strategies
- efficient optimization
- support vector
- machine learning