Using the expected posterior as a common design measure for both optimization and uncertainty reduction yields robust finite-budget posterior approximations.
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Robust Surrogate-Based Bayesian Inference via Sampling-Based Adaptive Active Learning (SALE)
Using the expected posterior as a common design measure for both optimization and uncertainty reduction yields robust finite-budget posterior approximations.