Garnett, Roman (Washington University in St Louis)
Description
Bayesian optimization is a methodology that has proven success in the sciences, engineering, and beyond for optimizing expensive objective functions. This self-contained text targets graduate students and researchers in machine learning and statistics – and practitioners from other fields – wishing to harness the power of Bayesian optimization.
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