3 papers
stat.ME2025
Two-stage Design for Failure Probability Estimation with Gaussian Process Surrogates
Annie S. Booth, S. Ashwin Renganathan
We tackle the problem of quantifying failure probabilities for expensive deterministic computer experiments with stochastic inputs under a fixed budget. The computational cost of t…
stat.ME2024
Contour Location for Reliability in Airfoil Simulation Experiments using Deep Gaussian Processes
Annie S. Booth, S. Ashwin Renganathan, Robert B. Gramacy
Bayesian deep Gaussian processes (DGPs) outperform ordinary GPs as surrogate models of complex computer experiments when response surface dynamics are non-stationary, which is espe…
stat.CO2024
Multifidelity Cross-validation
S. Ashwin Renganathan, Kade Carlson
Emulating the mapping between quantities of interest and their control parameters using surrogate models finds widespread application in engineering design, including in numerical…