Unbiased Binning for Fairness-aware Attribute Representation
Summary: Formulates unbiased and ε-biased binning to enforce group parity in discretized attributes. Develops optimal quadratic-time DP and scalable local-search/divide-and-conquer algorithms, showing substantial bias reduction with negligible fairness cost. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Abolfazl Asudeh (University of Illinois Chicago)
- 2. Zeinab (Mila) Asoodeh (Independent)
- 3. Bita Asoodeh (University of Edinburgh)
- 4. Omid Asudeh (University of Utah)
BibTeX Citation
@article{asudeh_vldb26,
title = {{Unbiased Binning for Fairness-aware Attribute Representation}},
author = {Asudeh, Abolfazl and Asoodeh, Zeinab (Mila) and Asoodeh, Bita and Asudeh, Omid},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {10},
pages = {2617--2629},
doi = {10.14778/3828612.3828619},
url = {https://doi.org/10.14778/3828612.3828619},
year = {2026}
}
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