arxiv
PublishedJune 30, 2026 at 4:00 AM
—neutral
Wasserstein Distributionally Robust Regret Optimization
Publisher summary· verbatim
arXiv:2504.10796v4 Announce Type: replace-cross Abstract: Distributionally robust optimization (DRO) is widely used for decision-making under uncertainty, but its adversarial focus on worst-case loss can lead to overly conservative policies. To mitigate this, we study ex-ante Distributionally Robust
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSvarna: An Open Corpus Workbench for Modern Greek1darxivPLURAL: A Global Dataset for Value Alignment1darxivValidating LLMs in social science: Epistemic threats and emerging norms1darxivHow Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism1dThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗