AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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We study violation-feedback learning of proportionally representative approval-based committees. In each round, a learner proposes a committee of size $k$. An oracle either accepts the proposal or adversarially selects a representation violation with respect to a single fixed hidden approval profile. We compare \emph{f...
The results deepen the connection between graph theory and fair division, and offer new tools for studying fairness in structured resource environments, by showing that deciding the existence of an $\mathrm{EF1}_{\mathrm{outer}}$ allocation is NP-complete even for binary additive valuations, thereby resolving an open c...
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