Estimating the Nash Social Welfare for coverage and other submodular valuations

Estimating the Nash Social Welfare for coverage and other submodular valuations
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估计纳什社会福利的覆盖范围和其他子模块估值

DOI:
10.1137/1.9781611976465.69
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发表时间:
2021
期刊:
ArXiv
影响因子:
--
通讯作者:
J. Vondrák
J. Vondrák
中科院分区:
--
文献类型:
--
作者:
Wenzheng Li;J. Vondrák

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We study the Nash Social Welfare problem: Given $n$ agents with valuation functions $v_i:2^{[m]} \rightarrow {\mathbb R}$, partition $[m]$ into $S_1,\ldots,S_n$ so as to maximize $(\prod_{i=1}^{n} v_i(S_i))^{1/n}$. The problem has been shown to admit a constant-factor approximation for additive, budget-additive, and piecewise linear concave separable valuations; the case of submodular valuations is open. We provide a $\frac{1}{e} (1-\frac{1}{e})^2$-approximation of the {\em optimal value} for several classes of submodular valuations: coverage, sums of matroid rank functions, and certain matching-based valuations.
We study the Nash Social Welfare problem: Given $n$ agents with valuation functions $v_i:2^{[m]} \rightarrow {\mathbb R}$, partition $[m]$ into $S_1,\ldots,S_n$ so as to maximize $(\prod_{i=1}^{n} v_i(S_i))^{1/n}$. The problem has been shown to admit a constant-factor approximation for additive, budget-additive, and piecewise linear concave separable valuations; the case of submodular valuations is open. We provide a $\frac{1}{e} (1-\frac{1}{e})^2$-approximation of the {\em optimal value} for several classes of submodular valuations: coverage, sums of matroid rank functions, and certain matching-based valuations.
通过(非)匹配逼近子模估值下的纳什社会福利
DOI: 10.1137/1.9781611975994.163
发表时间: 2020
期刊: Proceedings of the Annual ACMSIAM Symposium on Discrete Algorithms
影响因子: --
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影响因子: --
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