A Unified Framework for Bayesian Optimization under Contextual Uncertainty.
Sebastian Shenghong TayChuan-Sheng FooDaisuke UranoRichalynn LeongBryan Kian Hsiang LowPublished in: ICLR (2024)
Keyphrases
- dempster shafer
- decision theory
- contextual information
- optimization algorithm
- efficient optimization
- robust optimization
- optimization problems
- global optimization
- belief functions
- uncertain data
- optimization process
- context sensitive
- bayesian estimation
- bayesian learning
- probability theory
- optimization model
- gaussian processes
- real time
- posterior probability
- optimization method
- maximum likelihood
- data driven
- search algorithm
- bayesian networks
- artificial intelligence
- neural network