Achieving robustness to aleatoric uncertainty with heteroscedastic Bayesian optimisation.
Ryan-Rhys GriffithsAlexander A. AldrickMiguel Garcia-OrtegonVidhi LalchandAlpha A. LeePublished in: Mach. Learn. Sci. Technol. (2022)
Keyphrases
- decision theory
- dempster shafer
- bayesian inference
- pattern recognition
- belief functions
- gaussian processes
- posterior probability
- uncertain data
- bayesian estimation
- data driven
- maximum likelihood
- high robustness
- optimisation algorithm
- bayesian learning
- bayesian decision
- bayesian methods
- conditional probabilities
- real time
- incomplete information
- linear discriminant analysis
- control system
- high dimensional
- video sequences
- bayesian networks
- computer vision
- artificial intelligence
- genetic algorithm