Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters.
John Joshua MillerSimon MakPublished in: CoRR (2024)
Keyphrases
- black box
- variance reduction
- gradient estimation
- black boxes
- maximum likelihood
- monte carlo
- white box
- test cases
- integration testing
- noise level
- expectation maximization
- sample size
- input data
- noisy data
- white box testing
- parameter estimation
- text classification
- open source
- upper bound
- classification accuracy
- support vector
- bayesian networks
- feature selection