Research map / Probabilistic and scientific modeling / Bayesian optimization
Ensemble Distributionally Robust Bayesian Optimisation
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Proposes an ensemble-based distributionally robust Bayesian optimisation algorithm for zeroth-order optimisation under context distributional uncertainty.
Problem
Zeroth-order optimisation under context distributional uncertainty, where the data distribution is complex and noisy, so single surrogate models can be unreliable.
Approach
Uses an ensemble of surrogate models within distributionally robust Bayesian optimisation to mitigate the weaknesses of any single model under context distribution shift.
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