Fairness in Machine Learning: A Survey

4 October 2020

Papers citing "Fairness in Machine Learning: A Survey"

50 / 88 papers shown

Title
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness Héber H. Arcolezi Mina Alishahi Adda-Akram Bendoukha Nesrine Kaaniche 29 0 0 12 May 2025
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning Jarren Briscoe Assefaw Gebremedhin FaML 90 3 0 08 May 2025
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 50 0 0 03 May 2025
Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises Abdalwahab Almajed Maryam Tabar Peyman Najafirad AI4TS 26 0 0 02 May 2025
Intersectional Divergence: Measuring Fairness in Regression Joe Germino Nuno Moniz Nitesh V. Chawla FaML 65 0 0 01 May 2025
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization Jean-Rémy Conti Stéphan Clémençon 12 0 0 27 Apr 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 67 1 0 24 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 42 0 0 25 Mar 2025
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 88 0 0 10 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 57 0 0 05 Mar 2025
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization Junhui Shen Aaron J. Davis Ding Lu Z. Bai 32 1 0 01 Mar 2025
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps Lukasz Sztukiewicz Ignacy Stepka Michał Wiliński Jerzy Stefanowski 33 0 0 28 Feb 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 46 0 0 18 Feb 2025
Targeted Learning for Data Fairness Alexander Asemota Giles Hooker FaML 91 0 0 06 Feb 2025
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services Luca Vittorio Piron Matteo Cederle Marina Ceccon Federico Chiariotti Alessandro Fabris Marco Fabris Gian Antonio Susto 47 0 0 20 Jan 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 64 0 0 10 Jan 2025
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data Adam Wang Son Nguyen A. Montillo FedML 41 0 0 31 Dec 2024
Towards Efficient and Explainable Hate Speech Detection via Model Distillation Paloma Piot Javier Parapar 83 173 0 18 Dec 2024
Fair Resource Allocation in Weakly Coupled Markov Decision Processes Xiaohui Tu Yossiri Adulyasak Nima Akbarzadeh Erick Delage 39 0 0 14 Nov 2024
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 137 4 0 13 Nov 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 70 0 0 10 Nov 2024
Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation To Eun Kim Fernando Diaz 53 2 0 17 Sep 2024
Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng Xuelin Yang Li Chen Cristian Canton Ferrer Ming Jin Michael I. Jordan Ruoxi Jia 37 2 0 11 Jun 2024
Addressing Discretization-Induced Bias in Demographic Prediction Evan Dong Aaron Schein Yixin Wang Nikhil Garg 34 3 0 27 May 2024
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement Mukund Telukunta Sukruth Rao Gabriella Stickney Venkata Sriram Siddhardh Nadendla Casey Canfield 34 1 0 04 Apr 2024
Procedural Fairness in Machine Learning Ziming Wang Changwu Huang Xin Yao FaML 39 0 0 02 Apr 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 19 2 0 16 Feb 2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models Jorge Paz-Ruza Amparo Alonso-Betanzos B. Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco 54 2 0 19 Jan 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 34 1 0 10 Nov 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 29 0 0 23 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 31 5 0 09 Oct 2023
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 28 30 0 09 Jul 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 29 1 0 11 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 30 5 0 08 Jun 2023
On the Origins of Bias in NLP through the Lens of the Jim Code Fatma Elsafoury Gavin Abercrombie 34 4 0 16 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 35 23 0 10 May 2023
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree Hilde J. P. Weerts Raphaële Xenidis Fabien Tarissan Henrik Palmer Olsen Mykola Pechenizkiy FaML 25 21 0 05 May 2023
Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes Shaina Raza 21 4 0 12 Apr 2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification Julien Rouzot Julien Ferry Marie-José Huguet FaML 19 8 0 11 Apr 2023
Connecting Fairness in Machine Learning with Public Health Equity Shaina Raza 20 5 0 08 Apr 2023
Fairness-Aware Data Valuation for Supervised Learning José P. Pombal Pedro Saleiro Mário A. T. Figueiredo P. Bizarro TDI 37 3 0 29 Mar 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar HAI FaML 26 18 0 27 Mar 2023
Travel Demand Forecasting: A Fair AI Approach Xiaojian Zhang Qian Ke Xilei Zhao AI4TS 26 3 0 03 Mar 2023
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning Sirui Ding Ruixiang Tang Daochen Zha Na Zou Kai Zhang Xiaoqian Jiang Xia Hu 26 9 0 18 Feb 2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 23 0 0 05 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 41 10 0 03 Feb 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 33 9 0 29 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 40 32 0 26 Jan 2023
Fairness Increases Adversarial Vulnerability Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 26 6 0 21 Nov 2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes Tennison Liu Alex J. Chan B. V. Breugel M. Schaar FaML 20 2 0 11 Nov 2022