Fair Forests: Regularized Tree Induction to Minimize Model Bias

21 December 2017

Papers citing "Fair Forests: Regularized Tree Induction to Minimize Model Bias"

23 / 23 papers shown

Title
FairUDT: Fairness-aware Uplift Decision Trees Anam Zahid Abdur Rehman Ali Shaina Raza Rai Shahnawaz F. Kamiran Asim Karim 126 0 0 03 Feb 2025
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests Somnath Basu Roy Chowdhury Nicholas Monath Ahmad Beirami Rahul Kidambi Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 66 2 0 17 Oct 2023
Mean Parity Fair Regression in RKHS Shaokui Wei Jiayin Liu Bing Li H. Zha 56 3 0 21 Feb 2023
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 103 23 0 23 Nov 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 109 177 0 14 Jul 2022
Selective Regression Under Fairness Criteria Abhin Shah Yuheng Bu Joshua K. Lee Subhro Das Yikang Shen P. Sattigeri G. Wornell 114 28 0 28 Oct 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 107 22 0 13 Jun 2021
A Stochastic Optimization Framework for Fair Risk Minimization Andrew Lowy Sina Baharlouei Rakesh Pavan Meisam Razaviyayn Ahmad Beirami FaML 69 21 0 24 Feb 2021
Fair Training of Decision Tree Classifiers Francesco Ranzato Caterina Urban Marco Zanella FaML 47 12 0 04 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 324 500 0 31 Dec 2020
Justicia: A Stochastic SAT Approach to Formally Verify Fairness Bishwamittra Ghosh D. Basu Kuldeep S. Meel 159 41 0 14 Sep 2020
Fair Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 97 108 0 12 Jun 2020
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning Pieter Delobelle Paul Temple Gilles Perrouin Benoit Frénay P. Heymans Bettina Berendt AAML FaML 134 16 0 14 May 2020
Deontological Ethics By Monotonicity Shape Constraints S. Wang Maya R. Gupta 69 21 0 31 Jan 2020
Auditing and Achieving Intersectional Fairness in Classification Problems Giulio Morina V. Oliinyk J. Waton Ines Marusic K. Georgatzis FaML 73 41 0 04 Nov 2019
The Impact of Data Preparation on the Fairness of Software Systems Inês Valentim Nuno Lourenço Nuno Antunes 63 26 0 05 Oct 2019
Learning Fair Rule Lists Ulrich Aïvodji Julien Ferry Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 61 11 0 09 Sep 2019
Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan Andrew Cotter Maya R. Gupta S. Wang 98 115 0 12 Jun 2019
General Fair Empirical Risk Minimization L. Oneto Michele Donini Massimiliano Pontil FaML 106 40 0 29 Jan 2019
Intersectionality: Multiple Group Fairness in Expectation Constraints Jack K. Fitzsimons Michael A. Osborne Stephen J. Roberts FaML 35 7 0 25 Nov 2018
An exploration of algorithmic discrimination in data and classification Martin Wahl Jiuyong Li Feiyue Ye Lin Liu T. Le Ping Xiong 59 1 0 06 Nov 2018
A General Framework for Fair Regression Jack K. Fitzsimons AbdulRahman Al Ali Michael A. Osborne Stephen J. Roberts FaML 140 37 0 10 Oct 2018
Gradient Reversal Against Discrimination Edward Raff Jared Sylvester 76 38 0 01 Jul 2018