On Active Learning for Gaussian Process-based Global Sensitivity Analysis.
Mohit ChauhanMariel Ojeda-TuzRyan CatarelliKurtis GurleyDimitrios TsapetisMichael D. ShieldsPublished in: CoRR (2023)
Keyphrases
- sensitivity analysis
- gaussian process
- active learning
- semi supervised
- gaussian processes
- managerial insights
- regression model
- gaussian process regression
- bayesian framework
- gaussian process classification
- approximate inference
- latent variables
- hyperparameters
- model selection
- gaussian process models
- variational inequalities
- expectation propagation
- sparse approximations
- supervised learning
- support vector
- machine learning
- learning algorithm
- random sampling
- clustering algorithm
- probability distribution
- covariance function
- noise level
- data mining
- expectation maximization