Beyond Empirical Support: Structured Outlier Generation via Sinkhorn Optimal Transport

Outliers are essential for evaluating and improving the robustness of machine learning systems, especially when future distributions may differ significantly from historical training data. In high-stakes applications, robustness often depends on rare cases that finite datasets fail to capture, makin