Fair Adversarial Gradient Tree Boosting

Fair Adversarial Gradient Tree Boosting

13 November 2019

Sylvain Lamprier

Marcin Detyniecki

Papers citing "Fair Adversarial Gradient Tree Boosting"

19 / 19 papers shown

Title
General Post-Processing Framework for Fairness Adjustment of Machine Learning Models Léandre Eberhard Nirek Sharma Filipp Shelobolin Aalok Ganesh Shanbhag FaML 43 0 0 22 Apr 2025
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 39 0 0 16 Apr 2025
Best Practices for Responsible Machine Learning in Credit Scoring Giovani Valdrighi Athyrson M. Ribeiro Jansen S. B. Pereira Vitoria Guardieiro Arthur Hendricks ... Juan David Nieto Garcia Felipe F. Bocca Thalita B. Veronese Lucas Wanner Marcos Medeiros Raimundo FaML 23 0 0 30 Sep 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 41 1 0 12 Apr 2024
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting Camille Olivia Little Genevera I. Allen 25 0 0 01 Apr 2024
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing Vincent Grari Thibault Laugel Tatsunori Hashimoto Sylvain Lamprier Marcin Detyniecki 33 2 0 27 Oct 2023
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates Camille Olivia Little Debolina Halder Lina Genevera I. Allen 18 1 0 06 Oct 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 30 2 0 31 May 2023
FairGBM: Gradient Boosting with Fairness Constraints André F. Cruz Catarina Belém Sérgio Jesus Joao Bravo Pedro Saleiro P. Bizarro 21 22 0 16 Sep 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 31 159 0 14 Jul 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier Camille Olivia Little Michael Weylandt Genevera I. Allen 22 13 0 31 May 2022
Bias and unfairness in machine learning models: a systematic literature review T. P. Pagano R. B. Loureiro F. V. N. Lisboa G. O. R. Cruz R. M. Peixoto ... Maira M. Araujo Marco A. S. Cruz Ewerton L. S. Oliveira Ingrid Winkler E. G. S. Nascimento FaML 20 21 0 16 Feb 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 27 12 0 24 Jan 2022
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 11 26 0 25 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 240 0 01 Oct 2021
Strong Optimal Classification Trees S. Aghaei Andrés Gómez P. Vayanos 16 41 0 29 Mar 2021
FairXGBoost: Fairness-aware Classification in XGBoost S. Ravichandran Drona Khurana B. Venkatesh N. Edakunni FaML 12 6 0 03 Sep 2020
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 17 22 0 30 Aug 2020
SnapBoost: A Heterogeneous Boosting Machine Thomas Parnell Andreea Anghel M. Lazuka Nikolas Ioannou Sebastian Kurella Peshal Agarwal N. Papandreou Haralambos Pozidis 14 0 0 17 Jun 2020