Bayesian Optimization under Stochastic Delayed Feedback.
Arun VermaZhongxiang DaiBryan Kian Hsiang LowPublished in: ICML (2022)
Keyphrases
- monte carlo sampling
- delayed feedback
- stochastic optimization
- efficient optimization
- optimization algorithm
- stochastic search
- data driven
- maximum likelihood
- global optimization
- optimization method
- monte carlo
- monte carlo methods
- discrete optimization
- machine learning
- data sets
- real time
- multistage
- posterior probability
- optimization model
- optimization problems
- cost function
- search algorithm
- stochastic programming
- bayesian networks
- feature selection