A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations

Many real world applications can be framed as multi-objective optimization problems, where we wish to simultaneously optimize for multiple criteria. Bayesian optimization techniques for the multi-objective setting are pertinent when the evaluation of the functions in question are expensive... (read more)

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