Uncertainty Quantification and Experimental Design for large-scale linear Inverse Problems under Gaussian Process Priors.
Cédric TravellettiDavid GinsbourgerNiklas LindePublished in: CoRR (2021)
Keyphrases
- gaussian process
- experimental design
- bayesian framework
- gaussian processes
- hyperparameters
- sample size
- active learning
- regression model
- empirical studies
- latent variables
- model selection
- semi supervised
- prior knowledge
- prior information
- feature selection
- generative model
- support vector
- prior distribution
- cross validation
- bayesian inference
- random sampling
- probabilistic model
- feature space
- machine learning