FairGBM: Gradient Boosting with Fairness Constraints

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FairGBM: Gradient Boosting with Fairness Constraints

16 September 2022

Catarina Belém

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Papers citing "FairGBM: Gradient Boosting with Fairness Constraints"

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Title
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 91 27 0 03 Sep 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 95 3 0 25 Jan 2023
Fair Adversarial Gradient Tree Boosting Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 51 34 0 13 Nov 2019
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 112 327 0 14 Nov 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 101 810 0 03 Oct 2018
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals Andrew Cotter Heinrich Jiang S. Wang Taman Narayan Maya R. Gupta Seungil You Karthik Sridharan 79 158 0 11 Sep 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 285 2,195 0 23 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 227 1,103 0 06 Mar 2018
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 233 4,330 0 07 Oct 2016