Parallelised Bayesian Optimisation via Thompson Sampling.
Kirthevasan KandasamyAkshay KrishnamurthyJeff SchneiderBarnabás PóczosPublished in: AISTATS (2018)
Keyphrases
- sequential monte carlo
- markov chain monte carlo
- bayesian decision
- random sampling
- sampling strategy
- data driven
- artificial intelligence
- maximum likelihood
- parameter space
- sampling strategies
- bayesian inference
- data sets
- sampling algorithm
- databases
- bayesian networks
- bayesian analysis
- sampled data
- sampling methods
- data mining
- bayesian methods
- real world
- posterior distribution
- neural network
- optimisation algorithm
- posterior probability
- monte carlo