ICML-Collaborative Bayesian Optimization with Fair Regret

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Collaborative Bayesian Optimization with Fair Regret

        Rachael Hwee Ling Sim * 1 Yehong Zhang * 2 Bryan Kian Hsiang Low 1 Patrick Jaillet 3

             Abstract                 performance by sequentially selecting input queries for eval-
   Bayesian optimization (BO) is a popular tool for       uating the objective function f to trade off between sampling
   optimizing complex and costly-to-evaluate black-       at or close to a likely maximizer (i.e., exploitation) vs. sam-
   box obj ...

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关键词：Optimization Bayesian Regret ATION Labor