ICML-Value-at-Risk Optimization with Gaussian Processes

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Value-at-Risk Optimization with Gaussian Processes

        Quoc Phong Nguyen 1 Zhongxiang Dai 1 Bryan Kian Hsiang Low 1 Patrick Jaillet 2

            Abstract                 uncertainty in Z can be controlled via the mean-variance
   Value-at-risk (VA R) is an established measure       optimization framework (Iwazaki et al., 2020), value-at-risk
   to assess risks in critical real-world applications     (VA R), or conditional value-at-risk (CVA R) (Cakmak et al.,
   with random environmental  ...

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关键词：Optimization Processes Gaussian Process Optim