A robust approach to warped Gaussian process-constrained optimization.
Johannes WiebeI. CecílioJ. DunlopRuth MisenerPublished in: Math. Program. (2022)
Keyphrases
- constrained optimization
- gaussian process
- gaussian processes
- regression model
- gaussian process regression
- penalty function
- objective function
- hyperparameters
- latent variables
- model selection
- semi supervised
- bayesian framework
- bayesian inference
- prior knowledge
- expectation propagation
- covariance function
- sample size
- image processing
- random sampling
- edge detection
- motion estimation
- pairwise
- support vector
- gaussian process models