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Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters
In such applications, the simulator often takes the form $f(\mathbf{x},\boldsymbol{\theta})$, where $\boldsymbol{\theta}$ are parameters that are uncertain in practice.
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