Research

A full list of my publications is available on my CV and on my Google scholar page.

Selected Publications

Contour location for reliability in airfoil simulation experiments using deep Gaussian processes.

Annie S. Booth, S. Ashwin Renganathan, and Robert B. Gramacy (2023)
In review (arXiv:2308.04420)
Reproducible code available on Bitbucket

Vecchia-approximated deep Gaussian processes for computer experiments.

Annie Sauer, Andrew Cooper, and Robert B. Gramacy (2022)
Journal of Computational and Graphical Statistics (arXiv:2204.02904)
Reproducible code available on Bitbucket

Active learning for deep Gaussian process surrogates.

Annie Sauer, Robert B. Gramacy, and David Higdon (2021)
Technometrics (arXiv:2012.08015)
Reproducible code available on Bitbucket

Deep Gaussian process surrogates for computer experiments.

Annie Sauer (2023)
Ph.D. Thesis, Virginia Polytechnic Institite and State University
Reproducible code available on Bitbucket

Voronoi candidates for Bayesian optimization

Nathan Wycoff, John W. Smith, Annie S. Booth, and Robert B. Gramacy (2024)
In review (arXiv:2402.04922)
Reproducible code available on Github

Triangulation candidates for Bayesian optimization

Robert B. Gramacy, Annie Sauer, and Nathan Wycoff (2022)
Advances in Neural Information Processing Systems (arXiv:2112.07457)
Reproducible code available on Bitbucket