MM-FBO optimizes functional responses under min-max criteria by representing them via FPCA, modeling scores with Gaussian processes, and using an integrated uncertainty acquisition function.
Bayesian emulation of complex multi–output and dynamic computer models.Journal of Statistical Planning and Inference, 140(3):640–651
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Bayesian Optimization for Function-Valued Responses under Min-Max Criteria
MM-FBO optimizes functional responses under min-max criteria by representing them via FPCA, modeling scores with Gaussian processes, and using an integrated uncertainty acquisition function.