A meta-distribution-based robust optimization method learns RKHS uncertainty sets from relevant sources to guarantee out-of-distribution performance on unseen target distributions.
Ki′i′ −2 MX l=1 αlKli′ +α ⊤Kα # ,(A.59) with the empirical plug-in version ˆR2 = sup i′∈BSM
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Robust Out-of-Distribution Stochastic Optimization
A meta-distribution-based robust optimization method learns RKHS uncertainty sets from relevant sources to guarantee out-of-distribution performance on unseen target distributions.