Exploring risk-averse design criteria for sequential optimal experimental design in a Bayesian setting.
Proposed for presentation at the Mechanistic Machine Learning and Digital Twins for Compuational Science, Engineering & Technology held September 26-29, 2021 in San Diego , California United States(2021)
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