Federated Bayesian Optimization via Thompson Sampling.
Zhongxiang DaiBryan Kian Hsiang LowPatrick JailletPublished in: NeurIPS (2020)
Keyphrases
- optimization problems
- optimization algorithm
- bayesian networks
- random sampling
- efficient optimization
- optimization methods
- posterior probability
- global optimization
- data sets
- monte carlo methods
- markov chain monte carlo
- combinatorial optimization
- optimization method
- monte carlo
- active learning
- sample size
- maximum likelihood
- data driven
- linear programming
- distributed systems
- evolutionary algorithm
- posterior distribution
- constrained optimization
- decision trees
- discrete optimization
- neural network
- real time
- adaptive sampling