arxiv
PublishedOctober 7, 2026 at 4:00 AM
From Dual Tracking to Clipping: Provably Faster Distributionally Robust Multi-Objective Optimization
Publisher summary· verbatim
arXiv:2605.05660v3 Announce Type: replace Abstract: Multi-objective optimization (MOO) has received growing attention in applications that require learning under multiple criteria. However, most existing MOO formulations do not explicitly account for distributional shifts in the data. We introduce d
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Originally published on arxiv ↗