2 papers
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…