A closed-form constrained expected improvement is derived for bivariate Gaussian processes, but the cure-process case study shows no advantage over independent-GP constrained Bayesian optimization.
Computationally efficient convolved multiple output gaussian processes
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Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
A closed-form constrained expected improvement is derived for bivariate Gaussian processes, but the cure-process case study shows no advantage over independent-GP constrained Bayesian optimization.