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stat.ME2021
Entropy-based adaptive design for contour finding and estimating reliability
D. Austin Cole, Robert B. Gramacy, James E. Warner +3
In reliability analysis, methods used to estimate failure probability are often limited by the costs associated with model evaluations. Many of these methods, such as multifidelity…
stat.ME2020
Locally induced Gaussian processes for large-scale simulation experiments
D. Austin Cole, Ryan Christianson, Robert B. Gramacy
Gaussian processes (GPs) serve as flexible surrogates for complex surfaces, but buckle under the cubic cost of matrix decompositions with big training data sizes. Geospatial and ma…
stat.ME2018
Distance-distributed design for Gaussian process surrogates
Boya Zhang, D. Austin Cole, Robert B. Gramacy
A common challenge in computer experiments and related fields is to efficiently explore the input space using a small number of samples, i.e., the experimental design problem. Much…