6 citations · 8 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
Monotonic warpings for additive and deep Gaussian processes
Steven D. Barnett, Lauren J. Beesley, Annie S. Booth +2
Gaussian processes (GPs) are canonical as surrogates for computer experiments because they enjoy a degree of analytic tractability. But that breaks when the response surface is con…
Voronoi Candidates for Bayesian Optimization
Nathan Wycoff, John W. Smith, Annie S. Booth +1
Bayesian optimization (BO) offers an elegant approach for efficiently optimizing black-box functions. However, acquisition criteria demand their own challenging inner-optimization,…