algorithmic game theory

A Better-than- Approximation Algorithm for Nash Social Welfare under Additive Valuations

arXiv:2607.13340

summary

The paper proposes an algorithm that achieves a (e^{1/e} − c) approximation, improving on the previous e^{1/e} bound, for maximizing Nash social welfare with additive valuations.

Abstract

We present an -approximation algorithm for maximizing Nash social welfare under additive valuations, for some constant . This result improves upon the previous best-known approximation factor of [Barman, Krishnamurthy and Vaish, EC 2018].

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