Fair and Optimal Prediction via Post-Processing

AAAI 2024 pp. 22686

doi:10.1609/AAAI.V38I20.30302 /aaai/2024/zhao2024aaai-fair/

Abstract

In this talk I will discuss our recent work on characterizing the inherent tradeoff between fairness and accuracy in both classification and regression problems. I will also present a post-processing algorithm that derives optimal fair predictors from Bayes score functions.

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Cite

Text

Zhao. "Fair and Optimal Prediction via Post-Processing." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I20.30302

Markdown

[Zhao. "Fair and Optimal Prediction via Post-Processing." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/zhao2024aaai-fair/) doi:10.1609/AAAI.V38I20.30302

BibTeX

@inproceedings{zhao2024aaai-fair,
  title     = {{Fair and Optimal Prediction via Post-Processing}},
  author    = {Zhao, Han},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {22686},
  doi       = {10.1609/AAAI.V38I20.30302},
  url       = {https://mlanthology.org/aaai/2024/zhao2024aaai-fair/}
}