A fully Bayesian GP classifier built from elliptical slice sampling and Vecchia approximation matches or beats variational baselines in log score on large benchmark and black-hole simulation problems.
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Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments
A fully Bayesian GP classifier built from elliptical slice sampling and Vecchia approximation matches or beats variational baselines in log score on large benchmark and black-hole simulation problems.