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Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
We develop and analyze a method for stochastic simulation optimization based on Gaussian process models within a trust-region framework. We focus on settings where the variance of the objective function is large, making accurate estimation challenging and often requiring many evaluations. To address
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