Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes.
Syrine BelakariaBenjamin LethamJanardhan Rao DoppaBarbara EngelhardtStefano ErmonEytan BakshyPublished in: CoRR (2024)
Keyphrases
- sensitivity analysis
- gaussian processes
- active learning
- gaussian process
- gaussian process regression
- managerial insights
- gaussian process models
- preference learning
- influence diagrams
- covariance function
- random sampling
- human pose estimation
- hyperparameters
- supervised learning
- semi supervised
- learning algorithm
- data sets
- unlabeled data
- model selection
- machine learning
- multi task
- bayesian framework