Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors.
Cédric TravellettiDavid GinsbourgerNiklas LindePublished in: SIAM/ASA J. Uncertain. Quantification (2023)
Keyphrases
- experimental design
- gaussian process
- bayesian framework
- gaussian processes
- hyperparameters
- sample size
- active learning
- model selection
- regression model
- semi supervised
- empirical studies
- latent variables
- maximum a posteriori
- feature selection
- cross validation
- generative model
- prior knowledge
- multi class
- learning algorithm
- maximum likelihood
- image segmentation