Robust Out-of-Distribution Stochastic Optimization Based on Wasserstein-Metric Meta-Distribution Support Learning
An intrinsic geometric failure of kernel-embedding-based descriptions is identified, whose enclosing balls can admit arbitrarily dispersed distributions and produce infinite worst-case costs.
Biao Han
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