A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design.
Keyi WuPeng ChenOmar GhattasPublished in: SIAM/ASA J. Uncertain. Quantification (2023)
Keyphrases
- computational framework
- experimental design
- high dimensional
- stochastic dynamic programming
- computational model
- experimental designs
- active learning
- nearest neighbor
- high dimensionality
- worst case
- empirical studies
- feature selection
- bayesian networks
- sample size
- class imbalance
- game play
- low dimensional
- high dimensional data
- multi class
- lower bound
- training data
- decision trees
- e learning