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Happiness Maximizing Sets under Group Fairness Constraints

Summary: Introduces FairHMS: select a small subset maximizing the minimum happiness ratio across all nonnegative linear utilities while enforcing per-group lower/upper cardinality bounds for representation. Proves NP-hardness for ≥3 dims, gives exact 2D IntCov, a bicriteria BiGreedy via submodular maximization under a matroid with adaptive sampling, and empirically validates efficiency and effectiveness. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13320
Venue
VLDB
Year
2023
Pagerank
5.2755515e-05
Overall Rank
9,393 | 35.56%
DOI
10.14778/3565816.3565830

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zheng_vldb23,
        title = {{Happiness Maximizing Sets under Group Fairness Constraints}},
        author = {Zheng, Jiping and Ma, Yuan and Ma, Wei and Wang, Yanhao and Wang, Xiaoyang},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {2},
        pages = {291--303},
        doi = {10.14778/3565816.3565830},
        url = {https://doi.org/10.14778/3565816.3565830},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
10,511 On Fair Epsilon Net and Geometric Hitting Set 2026 VLDB 5.093636e-05
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