Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures.
Tapio HelinAndrew M. StuartAretha L. TeckentrupKonstantinos ZygalakisPublished in: CoRR (2023)
Keyphrases
- maximum a posteriori
- inverse problems
- experimental design
- gaussian process regression
- image reconstruction
- error measure
- gaussian processes
- hyperparameters
- gaussian process
- quantitative evaluation
- active learning
- empirical studies
- global optimization
- sample size
- convex optimization
- bayesian inference
- bayesian networks
- feature selection
- learning algorithm
- natural images
- partial differential equations
- random sampling
- model selection
- optimization problems
- multi class
- feature extraction