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Bayesian Inference of Expensive Simulators: Survey and Comparison of Design Choices
We present a survey of approaches to Bayesian inference with simulator forward models, focusing on settings with prohibitively expensive simulators. In this domain, Bayesian optimization-based methods have emerged as the most promising approach. We unify existing methods into a general framework, en
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