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Sloan Nietert

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#machine learning Preprint Oct 2026

Regret-Optimal Wasserstein-Robust Linear Regression

Distributionally robust optimization (DRO) minimizes worst-case risk under distributional uncertainty, but its decisions can be suboptimal in terms of their excess risk, or regret. We study this gap for multivariate least-squares regression, assuming that the observed source law and unknown target law differ by an adve...

Sloan Nietert, Daniel Kuhn · 0 citations

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