Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference.
Samarth GuptaSaurabh AminPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- gaussian process
- hyperparameters
- optimal resource allocation
- expectation propagation
- resource allocation
- gaussian processes
- variational inference
- prior information
- probabilistic model
- approximate inference
- variational bayes
- gaussian process regression
- posterior distribution
- bayesian model
- bayesian framework
- conditional probabilities
- latent variables
- closed form
- gaussian process models
- regression model
- bayesian methods
- prior knowledge
- particle filter
- model selection
- support vector