Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

26 October 2016

Muhammad Bilal Zafar

Isabel Valera

Manuel Gomez Rodriguez

Krishna P. Gummadi

FaML

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Papers citing "Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment"

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Title
Towards Standardizing AI Bias Exploration Emmanouil Krasanakis Symeon Papadopoulos 46 3 0 29 May 2024
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques Manh Khoi Duong Stefan Conrad 46 0 0 21 May 2024
Challenging the Human-in-the-loop in Algorithmic Decision-making Sebastian Tschiatschek Eugenia Stamboliev Timothée Schmude Mark Coeckelbergh Laura M. Koesten 47 1 0 17 May 2024
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly Yijun Bian Yujie Luo FaML 37 1 0 15 May 2024
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds Meiyu Zhong Ravi Tandon FaML 43 3 0 12 May 2024
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP Sanjana Gautam Mukund Srinath 45 6 0 29 Apr 2024
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data Javier Perera-Lago Víctor Toscano-Durán Eduardo Paluzo-Hidalgo Sara Narteni Matteo Rucco 22 0 0 15 Apr 2024
Auditing the Use of Language Models to Guide Hiring Decisions Johann D. Gaebler Sharad Goel Aziz Huq Prasanna Tambe MLAU 40 8 0 03 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David Evans 33 2 0 30 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 41 8 0 26 Mar 2024
Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets Abigail Langbridge Anthony Quinn Robert Shorten 47 3 0 20 Mar 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? Ibrahim M. Alabdulmohsin Xiao Wang Andreas Steiner Priya Goyal Alexander DÁmour Xiao-Qi Zhai 47 17 0 07 Mar 2024
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency Yixuan Zhang Feng Zhou 26 3 0 01 Mar 2024
Achievable Fairness on Your Data With Utility Guarantees Muhammad Faaiz Taufiq Jean-François Ton Yang Liu 29 1 0 27 Feb 2024
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset Santosh T.Y.S.S Nina Baumgartner Matthias Sturmer Matthias Grabmair Joel Niklaus ELM AILaw 41 7 0 26 Feb 2024
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach Vijay Keswani Anay Mehrotra L. E. Celis FaML 42 0 0 17 Feb 2024
On the Impact of Output Perturbation on Fairness in Binary Linear Classification Vitalii Emelianov Michael Perrot FaML 40 0 0 05 Feb 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models Zhihao Wang Yiqun Xie Zhili Li Xiaowei Jia Zhe Jiang Aolin Jia Shuo Xu 35 6 0 27 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective Xuechen Zhang Mingchen Li Jiasi Chen Christos Thrampoulidis Samet Oymak 42 3 0 25 Jan 2024
On the (In)Compatibility between Group Fairness and Individual Fairness Shizhou Xu Thomas Strohmer FaML 26 2 0 13 Jan 2024
Learning Fair Policies for Multi-stage Selection Problems from Observational Data Zhuangzhuang Jia G. A. Hanasusanto P. Vayanos Weijun Xie FaML 23 2 0 20 Dec 2023
Uncertainty-based Fairness Measures Selim Kuzucu Jiaee Cheong Hatice Gunes Sinan Kalkan UD PER 44 4 0 18 Dec 2023
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning Yixuan Zhang Boyu Li Zenan Ling Feng Zhou FaML 16 3 0 14 Dec 2023
Counterfactually Fair Representation Zhiqun Zuo Mohammad Mahdi Khalili Xueru Zhang FaML 44 5 0 09 Nov 2023
Loss Balancing for Fair Supervised Learning Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FedML FaML 35 6 0 07 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
Responsible AI (RAI) Games and Ensembles Yash Gupta Runtian Zhai A. Suggala Pradeep Ravikumar 25 0 0 28 Oct 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts Elliott Ash Naman Goel Nianyun Li Claudia Marangon Peiyao Sun 35 2 0 28 Oct 2023
DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues David Q. Sun Artem Abzaliev Hadas Kotek Zidi Xiu Christopher Klein Jason D. Williams 37 9 0 27 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 41 60 0 19 Oct 2023
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision Junaid Ali Matthäus Kleindessner F. Wenzel Kailash Budhathoki V. Cevher Chris Russell VLM 70 10 0 18 Oct 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Georgios Korpas 45 3 0 17 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 31 3 0 17 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 58 1 0 11 Oct 2023
Bias Propagation in Federated Learning Hong Chang Reza Shokri FedML 26 10 0 05 Sep 2023
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 34 12 0 05 Sep 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 40 1 0 28 Aug 2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 33 3 0 18 Aug 2023
A Framework for Designing Fair Ubiquitous Computing Systems Han Zhang Leijie Wang Yilun Sheng Xuhai Xu Jennifer Mankoff A. Dey 46 9 0 17 Aug 2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities Alexander X. Oesterling Jiaqi Ma Flavio du Pin Calmon Hima Lakkaraju FaML MU 36 20 0 27 Jul 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment Sen Cui Weishen Pan Changshui Zhang Fei Wang 24 10 0 27 Jul 2023
Fairness in KI-Systemen Janine Strotherm Alissa Müller Barbara Hammer Benjamin Paassen FaML 39 1 0 17 Jul 2023
Learning for Counterfactual Fairness from Observational Data Jing Ma Ruocheng Guo Aidong Zhang Jundong Li FaML 24 11 0 17 Jul 2023
Fairness-aware Federated Minimax Optimization with Convergence Guarantee Gerry Windiarto Mohamad Dunda Shenghui Song FedML 30 1 0 10 Jul 2023
Learning Fair Classifiers via Min-Max F-divergence Regularization Meiyu Zhong Ravi Tandon FaML 21 4 0 28 Jun 2023
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 25 32 0 28 Jun 2023
Fairness Aware Counterfactuals for Subgroups Loukas Kavouras Konstantinos Tsopelas G. Giannopoulos Dimitris Sacharidis Eleni Psaroudaki Nikolaos Theologitis D. Rontogiannis Dimitris Fotakis Ioannis Emiris 63 8 0 26 Jun 2023
Fair Causal Feature Selection Zhaolong Ling Jingxuan Wu Peng Zhou Xingyu Wu Kui Yu Xindong Wu FaML 24 1 0 17 Jun 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 44 10 0 16 Jun 2023