Bayesian Optimization under Stochastic Delayed Feedback.
Arun VermaZhongxiang DaiBryan Kian Hsiang LowPublished in: CoRR (2022)
Keyphrases
- delayed feedback
- monte carlo sampling
- stochastic optimization
- stochastic programming
- stochastic search
- optimization problems
- data driven
- optimization algorithm
- optimization process
- bayesian networks
- monte carlo methods
- efficient optimization
- bayesian estimation
- global optimization
- bayesian decision
- bayesian learning
- image segmentation
- monte carlo
- optimization approaches
- reinforcement learning
- query processing
- multi objective
- stochastic model
- gaussian processes
- data sets
- posterior distribution
- bayesian inference