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Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

14 November 2017

Papers citing "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness"

50 / 448 papers shown

Title
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller 101 1 0 23 May 2024
$The Unfairness of $\varepsilon$-Fairness$ The Unfairness of $\varepsilon$ -Fairness T. Fadina Thorsten Schmidt 61 0 0 15 May 2024
Taking a Moment for Distributional Robustness Jabari Hastings Christopher Jung Charlotte Peale Vasilis Syrgkanis OOD 67 1 0 08 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks Lujing Zhang Aaron Roth Linjun Zhang FaML 175 9 0 03 May 2024
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 130 1 0 01 May 2024
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups G. Giannopoulos Dimitris Sacharidis Nikolas Theologitis Loukas Kavouras Ioannis Emiris 58 0 0 29 Apr 2024
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study Raphael Poulain Hamed Fayyaz Rahmatollah Beheshti 79 17 0 23 Apr 2024
Near-Optimal Solutions of Constrained Learning Problems Juan Elenter Luiz F. O. Chamon Alejandro Ribeiro 79 6 0 18 Mar 2024
Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization Cecilia Ying Stephen Thomas FaML 28 1 0 15 Mar 2024
Evaluating LLMs for Gender Disparities in Notable Persons L. Rhue Sofie Goethals Arun Sundararajan 79 5 0 14 Mar 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 96 0 0 14 Feb 2024
Intersectional Two-sided Fairness in Recommendation Yifan Wang Peijie Sun Weizhi Ma Min Zhang Yuan Zhang Peng Jiang Shaoping Ma FaML 115 9 0 05 Feb 2024
Multi-group Learning for Hierarchical Groups Samuel Deng Daniel Hsu AI4CE 106 1 0 01 Feb 2024
Consistent algorithms for multi-label classification with macro-at- $k$ metrics Erik Schultheis Wojciech Kotlowski Marek Wydmuch Rohit Babbar Strom Borman Krzysztof Dembczyñski 77 5 0 29 Jan 2024
Distribution-Specific Auditing For Subgroup Fairness Daniel Hsu Jizhou Huang Brendan Juba 82 0 0 27 Jan 2024
A structured regression approach for evaluating model performance across intersectional subgroups Christine Herlihy Kimberly Truong Alexandra Chouldechova Miroslav Dudik 81 5 0 26 Jan 2024
Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan Princewill Okoroafor Prasad Raghavendra Abhishek Shetty Mihir Singhal 100 8 0 26 Jan 2024
Data vs. Model Machine Learning Fairness Testing: An Empirical Study Arumoy Shome Luís Cruz Arie van Deursen 86 3 0 15 Jan 2024
On the (In)Compatibility between Group Fairness and Individual Fairness Shizhou Xu Thomas Strohmer FaML 55 2 0 13 Jan 2024
Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification Xiaobin Song Zeyuan Liu Benben Jiang FaML 47 4 0 06 Jan 2024
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions Piao Hu Jiashuo Jiang Guodong Lyu Hao Su 62 2 0 02 Jan 2024
FairCompass: Operationalising Fairness in Machine Learning Jessica Liu Huaming Chen Jun Shen Kim-Kwang Raymond Choo FaML 67 6 0 27 Dec 2023
Uncertainty-based Fairness Measures Selim Kuzucu Jiaee Cheong Hatice Gunes Sinan Kalkan UD PER 98 8 0 18 Dec 2023
Fair Active Learning in Low-Data Regimes Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit P. Jain Kevin Jamieson FaML 68 1 0 13 Dec 2023
Error Discovery by Clustering Influence Embeddings Fulton Wang Julius Adebayo Sarah Tan Diego Garcia-Olano Narine Kokhlikyan 105 4 0 07 Dec 2023
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing Lucas Monteiro Paes A. Suresh Alex Beutel Flavio du Pin Calmon Ahmad Beirami 64 3 0 06 Dec 2023
Detecting algorithmic bias in medical-AI models using trees Jeffrey Smith Andre L. Holder Rishikesan Kamaleswaran Yao Xie 127 1 0 05 Dec 2023
Explaining Knock-on Effects of Bias Mitigation Svetoslav Nizhnichenkov Rahul Nair Elizabeth M. Daly Brian Mac Namee 29 0 0 01 Dec 2023
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples Phillip Howard Avinash Madasu Tiep Le Gustavo Lujan Moreno Anahita Bhiwandiwalla Vasudev Lal 123 24 0 30 Nov 2023
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata Mark Díaz Sunipa Dev Emily Reif Remi Denton Vinodkumar Prabhakaran 103 4 0 28 Nov 2023
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms Alessandro Castelnovo Nicole Inverardi Gabriele Nanino Ilaria Giuseppina Penco D. Regoli FaML 81 3 0 21 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms Kristof Meding Thilo Hagendorff 57 7 0 12 Nov 2023
The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing Modar Sulaiman Kallol Roy 74 0 0 06 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 61 2 0 05 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 81 2 0 02 Nov 2023
Parametric Fairness with Statistical Guarantees François Hu Philipp Ratz Arthur Charpentier FaML 51 1 0 31 Oct 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness Jacy Reese Anthis Victor Veitch 82 16 0 30 Oct 2023
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing Vincent Grari Thibault Laugel Tatsunori Hashimoto Sylvain Lamprier Marcin Detyniecki 104 3 0 27 Oct 2023
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl Marybeth Defrance T. D. Bie FedML 80 4 0 26 Oct 2023
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness Zachary McBride Lazri Ivan Brugere Xin Tian Dana Dachman-Soled Antigoni Polychroniadou Danial Dervovic Min Wu 75 1 0 23 Oct 2023
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Qiufeng Wang Jian Wu Zuo-Qiang Liu MU 131 69 0 19 Oct 2023
Fairer and More Accurate Tabular Models Through NAS Richeek Das Samuel Dooley 75 5 0 18 Oct 2023
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples Shreyas Havaldar Jatin Chauhan Karthikeyan Shanmugam Jay Nandy A. Raghuveer 164 1 0 11 Oct 2023
Oracle Efficient Algorithms for Groupwise Regret Krishna Acharya Eshwar Ram Arunachaleswaran Sampath Kannan Aaron Roth Juba Ziani AI4TS 71 3 0 07 Oct 2023
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Zhengyuan Yang Levent Sagun Yizhou Sun 154 3 0 29 Sep 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 91 17 0 29 Sep 2023
Distribution-Free Statistical Dispersion Control for Societal Applications Zhun Deng Thomas P. Zollo Jake C. Snell T. Pitassi R. Zemel 65 5 0 25 Sep 2023
Survey of Social Bias in Vision-Language Models Nayeon Lee Yejin Bang Holy Lovenia Samuel Cahyawijaya Wenliang Dai Pascale Fung VLM 136 19 0 24 Sep 2023
A Sequentially Fair Mechanism for Multiple Sensitive Attributes Franccois Hu Philipp Ratz Arthur Charpentier FaML 80 6 0 12 Sep 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 140 612 0 02 Sep 2023