Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference.
Samarth GuptaSaurabh AminPublished in: L4DC (2024)
Keyphrases
- bayesian inference
- gaussian process
- hyperparameters
- expectation propagation
- optimal resource allocation
- resource allocation
- gaussian processes
- variational inference
- prior information
- probabilistic model
- posterior distribution
- gaussian process regression
- variational bayes
- approximate inference
- bayesian methods
- gaussian process models
- latent variables
- bayesian model
- regression model
- particle filter
- bayesian framework
- model selection
- data sets
- expectation maximization
- conditional probabilities
- noise level
- closed form
- training set