Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

14 November 2017

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

50 / 443 papers shown

Title
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study Raphael Poulain Hamed Fayyaz Rahmatollah Beheshti 38 16 0 23 Apr 2024
Near-Optimal Solutions of Constrained Learning Problems Juan Elenter Luiz F. O. Chamon Alejandro Ribeiro 26 5 0 18 Mar 2024
Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization Cecilia Ying Stephen Thomas FaML 22 1 0 15 Mar 2024
Evaluating LLMs for Gender Disparities in Notable Persons L. Rhue Sofie Goethals Arun Sundararajan 52 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 36 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 47 8 0 05 Feb 2024
Multi-group Learning for Hierarchical Groups Samuel Deng Daniel Hsu AI4CE 52 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 28 5 0 29 Jan 2024
Distribution-Specific Auditing For Subgroup Fairness Daniel Hsu Jizhou Huang Brendan Juba 41 0 0 27 Jan 2024
A structured regression approach for evaluating model performance across intersectional subgroups Christine Herlihy Kimberly Truong Alexandra Chouldechova Miroslav Dudik 49 4 0 26 Jan 2024
Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan Princewill Okoroafor Prasad Raghavendra Abhishek Shetty Mihir Singhal 48 6 0 26 Jan 2024
Data vs. Model Machine Learning Fairness Testing: An Empirical Study Arumoy Shome Luís Cruz Arie van Deursen 46 3 0 15 Jan 2024
On the (In)Compatibility between Group Fairness and Individual Fairness Shizhou Xu Thomas Strohmer FaML 26 2 0 13 Jan 2024
Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification Xiaobin Song Zeyuan Liu Benben Jiang FaML 31 4 0 06 Jan 2024
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions Piao Hu Jiashuo Jiang Guodong Lyu Hao Su 36 1 0 02 Jan 2024
FairCompass: Operationalising Fairness in Machine Learning Jessica Liu Huaming Chen Jun Shen Kim-Kwang Raymond Choo FaML 42 6 0 27 Dec 2023
Uncertainty-based Fairness Measures Selim Kuzucu Jiaee Cheong Hatice Gunes Sinan Kalkan UD PER 42 4 0 18 Dec 2023
Fair Active Learning in Low-Data Regimes Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit P. Jain Kevin Jamieson FaML 33 1 0 13 Dec 2023
Error Discovery by Clustering Influence Embeddings Fulton Wang Julius Adebayo Sarah Tan Diego Garcia-Olano Narine Kokhlikyan 26 3 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 40 3 0 06 Dec 2023
Detecting algorithmic bias in medical-AI models using trees Jeffrey Smith Andre L. Holder Rishikesan Kamaleswaran Yao Xie 40 1 0 05 Dec 2023
Explaining Knock-on Effects of Bias Mitigation Svetoslav Nizhnichenkov Rahul Nair Elizabeth M. Daly Brian Mac Namee 14 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 57 16 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 38 3 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 21 1 0 21 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms Kristof Meding Thilo Hagendorff 43 7 0 12 Nov 2023
The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing Modar Sulaiman Kallol Roy 34 0 0 06 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 30 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 42 1 0 02 Nov 2023
Parametric Fairness with Statistical Guarantees François Hu Philipp Ratz Arthur Charpentier FaML 17 1 0 31 Oct 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness Jacy Reese Anthis Victor Veitch 33 12 0 30 Oct 2023
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing Vincent Grari Thibault Laugel Tatsunori Hashimoto Sylvain Lamprier Marcin Detyniecki 43 2 0 27 Oct 2023
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl Marybeth Defrance T. D. Bie FedML 37 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 18 0 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 37 60 0 19 Oct 2023
Fairer and More Accurate Tabular Models Through NAS Richeek Das Samuel Dooley 23 4 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 56 1 0 11 Oct 2023
Oracle Efficient Algorithms for Groupwise Regret Krishna Acharya Eshwar Ram Arunachaleswaran Sampath Kannan Aaron Roth Juba Ziani AI4TS 47 2 0 07 Oct 2023
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Zhengyuan Yang Levent Sagun Yizhou Sun 44 2 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 40 14 0 29 Sep 2023
Distribution-Free Statistical Dispersion Control for Societal Applications Zhun Deng Thomas P. Zollo Jake C. Snell T. Pitassi R. Zemel 21 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 52 16 0 24 Sep 2023
A Sequentially Fair Mechanism for Multiple Sensitive Attributes Franccois Hu Philipp Ratz Arthur Charpentier FaML 22 6 0 12 Sep 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan A. Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 45 498 0 02 Sep 2023
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation Hao Liang Pietro Perona Guha Balakrishnan CVBM 19 12 0 10 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity S. Kim Stefan Lessmann G. Andreeva Michael Rovatsos FaML 32 4 0 01 Aug 2023
Monitoring Algorithmic Fairness under Partial Observations T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 38 2 0 01 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 47 1 0 28 Jul 2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities Alexander X. Oesterling Jiaqi Ma Flavio du Pin Calmon Hima Lakkaraju FaML MU 33 20 0 27 Jul 2023
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification James Atwood Tina Tian Ben Packer Meghana Deodhar Jilin Chen Alex Beutel Flavien Prost Ahmad Beirami FaML 24 1 0 11 Jul 2023