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
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 37 0 0 16 May 2025
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing Yezi Liu Prathyush Poduval Wenjun Huang Yang Ni Hanning Chen Mohsen Imani MU 45 0 0 14 May 2025
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 46 0 0 12 May 2025
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images Tian Qiu Arjun Nichani Rasta Tadayontahmasebi Haewon Jeong 36 0 0 05 May 2025
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 55 0 0 03 May 2025
Bayes-Optimal Fair Classification with Multiple Sensitive Features Yi Yang Yinghui Huang Xiangyu Chang FaML 67 0 0 01 May 2025
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes Tianhe Zhang Suhan Liu Peng Shi FaML 74 0 0 16 Apr 2025
Explainable post-training bias mitigation with distribution-based fairness metrics Ryan Franks A. Miroshnikov 37 0 0 01 Apr 2025
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination A. Majumdar Deborah D. Kanubala Kavya Gupta Isabel Valera FaML 62 0 0 28 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 58 0 0 15 Mar 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 98 4 0 13 Mar 2025
Automated Knowledge Component Generation and Knowledge Tracing for Coding Problems Zhangqi Duan Nigel Fernandez Sri Kanakadandi Bita Akram Andrew Lan 72 0 0 25 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms Luke E. Richards Jessie Yaros Jasen Babcock Coung Ly Robin Cosbey Timothy Doster Cynthia Matuszek NAI 71 0 0 13 Feb 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 90 0 0 28 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabi Yuhong Guo DiffM 30 0 0 03 Jan 2025
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning Yan Luo Congcong Wen Min Shi Hao Huang Yi Fang Mengyu Wang FedML 26 0 0 31 Dec 2024
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks Erhu He Declan Kutscher Yiqun Xie Jacob Aaron Zwart Zhe Jiang Huaxiu Yao X. Jia AI4CE 79 0 0 21 Dec 2024
Lookahead Counterfactual Fairness Zhiqun Zuo Tian Xie Xuwei Tan Xueru Zhang Mohammad Mahdi Khalili FaML 93 0 0 02 Dec 2024
Fairness And Performance In Harmony: Data Debiasing Is All You Need Junhua Liu Wendy Wan Yee Hui Roy Ka-wei Lee Kwan Hui Lim FaML 72 0 0 26 Nov 2024
Overhead-free User-side Recommender Systems Ryoma Sato 42 1 0 12 Nov 2024
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 57 0 0 05 Nov 2024
Mitigating Matching Biases Through Score Calibration Mohammad Hossein Moslemi Mostafa Milani 39 0 0 03 Nov 2024
Fairness Evaluation with Item Response Theory Ziqi Xu Sevvandi Kandanaarachchi Cheng Soon Ong Eirini Ntoutsi 31 1 0 20 Oct 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 33 1 0 17 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 35 2 0 07 Oct 2024
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport Abigail Langbridge Anthony Quinn Robert Shorten 39 1 0 03 Oct 2024
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness Lucas Rosenblatt R. T. Witter FaML 30 0 0 02 Oct 2024
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups Jingyu Hu Jun Hong Mengnan Du Weiru Liu 31 0 0 02 Oct 2024
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 42 0 0 30 Sep 2024
Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks Zhangqi Duan Nigel Fernandez Alexander Hicks Andrew Lan AI4Ed 38 2 0 28 Sep 2024
Evaluating Blocking Biases in Entity Matching Mohammad Hossein Moslemi Harini Balamurugan Mostafa Milani 26 1 0 24 Sep 2024
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers Manh Khoi Duong Stefan Conrad UD FaML 53 0 0 19 Sep 2024
Promoting Fairness in Link Prediction with Graph Enhancement Yezi Liu Hanning Chen Mohsen Imani 38 1 0 13 Sep 2024
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing Aditya Karan Naina Balepur Hari Sundaram 20 0 0 04 Sep 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 54 2 0 03 Sep 2024
Gradient-Free Method for Heavily Constrained Nonconvex Optimization Wanli Shi Hongchang Gao Bin Gu 26 5 0 31 Aug 2024
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review Shaina Raza Arash Shaban-Nejad Elham Dolatabadi Hiroshi Mamiya 42 3 0 23 Aug 2024
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications Sribala Vidyadhari Chinta Zichong Wang Zhipeng Yin Nhat Hoang Matthew Gonzalez Tai Le Quy Wenbin Zhang 41 20 0 26 Jul 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models Simha Sankar Baradwaj Destiny Gilliland Jack Rincon Henning Hermjakob Yu Yan ... Dean Wang Karol Watson Alex Bui Wei Wang Peipei Ping 57 6 0 18 Jul 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 43 0 0 10 Jul 2024
10 Years of Fair Representations: Challenges and Opportunities Mattia Cerrato Marius Köppel Philipp Wolf Stefan Kramer FaML 41 3 0 04 Jul 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 54 1 0 03 Jul 2024
Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Vision-Language Models Joan Nwatu Oana Ignat Rada Mihalcea 39 0 0 02 Jul 2024
Fairness and Bias in Multimodal AI: A Survey Tosin Adewumi Lama Alkhaled Namrata Gurung G. V. Boven Irene Pagliai 63 9 0 27 Jun 2024
Evaluating AI Group Fairness: a Fuzzy Logic Perspective Emmanouil Krasanakis Symeon Papadopoulos 40 0 0 27 Jun 2024
Addressing Polarization and Unfairness in Performative Prediction Kun Jin Tian Xie Yang Liu Xueru Zhang 54 2 0 24 Jun 2024
Fair Streaming Feature Selection Zhangling Duan Tianci Li Xingyu Wu Zhaolong Ling Jingye Yang Zhaohong Jia AI4TS 32 0 0 20 Jun 2024
On the Power of Randomization in Fair Classification and Representation Sushant Agarwal Amit Deshpande FaML 45 5 0 05 Jun 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making S. Hahn Gi-Soo Kim Junghye Lee FedML 37 1 0 31 May 2024
Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes Manh Khoi Duong Stefan Conrad 32 1 0 29 May 2024