2 papers
stat.CO2026
Analytically Optimal Sample Allocations for Nested Multivariate Multifidelity Control Variate Estimators
Atticus Rex, Elizabeth Qian
Monte Carlo estimation, an essential tool for quantifying uncertainty in complex scientific and engineering applications, often has unacceptably large errors when computing resourc…
stat.ML2026
Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data
Atticus Rex, Elizabeth Qian, David Peterson
Supervised machine learning describes the practice of fitting a parameterized model to labeled input-output data. Supervised machine learning methods have demonstrated promise in l…