Graybox Bayesian optimization with Gaussian process surrogates and a decoupled acquisition function calibrates SIQR epidemic models with fewer expensive model evaluations than blackbox Bayesian optimization.
Modeling the impact of social distancing, testing, contact tracing and household quarantine on second- wave scenarios of the COVID-19 pandemic
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Epidemiological Model Calibration via Graybox Bayesian Optimization
Graybox Bayesian optimization with Gaussian process surrogates and a decoupled acquisition function calibrates SIQR epidemic models with fewer expensive model evaluations than blackbox Bayesian optimization.