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Fair Decision Rules for Binary Classification

Fair Decision Rules for Binary Classification

3 July 2021
Connor Lawless
Oktay Gunluk
    FaML
ArXiv (abs)PDFHTML

Papers citing "Fair Decision Rules for Binary Classification"

5 / 5 papers shown
Title
Fair and Accurate Regression: Strong Formulations and Algorithms
Fair and Accurate Regression: Strong Formulations and Algorithms
Anna Deza
Andrés Gómez
Alper Atamturk
FaML
155
0
0
22 Dec 2024
Explainable AI for clinical risk prediction: a survey of concepts,
  methods, and modalities
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Munib Mesinovic
Peter Watkinson
Ting Zhu
FaML
74
3
0
16 Aug 2023
Revealing Unfair Models by Mining Interpretable Evidence
Revealing Unfair Models by Mining Interpretable Evidence
Mohit Bajaj
Lingyang Chu
Vittorio Romaniello
Gursimran Singh
Jian Pei
Zirui Zhou
Lanjun Wang
Yong Zhang
FaML
32
0
0
12 Jul 2022
Interpretable Clustering via Multi-Polytope Machines
Interpretable Clustering via Multi-Polytope Machines
Connor Lawless
Jayant Kalagnanam
Lam M. Nguyen
Dzung Phan
Chandra Reddy
48
16
0
10 Dec 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Tabea E. Rober
Adia C. Lumadjeng
M. Akyuz
cS. .Ilker Birbil
124
2
0
21 Apr 2021
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