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Paul Plantosar

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Preprint Oct 2026

RaMMOBO: Random Max-Margin Multi-Objective Bayesian Optimization

Multi-objective Bayesian optimization (MOBO) maximizes $M$ expensive black-box objectives with the goal of approximating the Pareto set, whose objective vectors cannot be improved in one component without sacrificing another. A common quality measure is hypervolume, the volume in objective space dominated by these vect...

Thomas Wedenig, Paul Plantosar, Robert Peharz · 0 citations

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