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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Xiao-Wei Wu

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Preprint Sep 2026

When Maximum Nash Welfare Becomes Strongly Fair: Bi-valued Goods

For the fair allocation of indivisible goods, the milestone work of Caragiannis et al. (2019) revolutionized the understanding of Maximum Nash Welfare (MNW) allocations by revealing their"unreasonable"ability to balance fairness (EF1) and efficiency (PO) for general additive functions. Subsequent work established that...

Ze-Han Lin, Xiao-Wei Wu, Sheng-Wei Zhou · 0 citations
Preprint Sep 2026

MMS Allocation for Chores with Online Agent Arrivals

We study the fair allocation of $m$ indivisible chores to $n$ agents with subadditive cost functions arriving online in an arbitrary order. Upon an agent's arrival, we are informed of her cost function and must irrevocably assign her a set of chores. We focus on the Maximin Share (MMS) fairness notion and aim to comput...

Hao-Long Li, Ze-Han Lin, Hua-Hua Miao et al. · 0 citations

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