Fair Regression: Quantitative Definitions and Reduction-based Algorithms

30 May 2019

Papers citing "Fair Regression: Quantitative Definitions and Reduction-based Algorithms"

50 / 65 papers shown

Title
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 37 0 0 16 May 2025
Fairness Perceptions in Regression-based Predictive Models Mukund Telukunta Venkata Sriram Siddhardh Nadendla Morgan Stuart Casey Canfield 43 0 0 08 May 2025
Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises Abdalwahab Almajed Maryam Tabar Peyman Najafirad AI4TS 31 0 0 02 May 2025
Intersectional Divergence: Measuring Fairness in Regression Joe Germino Nuno Moniz Nitesh Chawla FaML 68 0 0 01 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 50 0 0 26 Apr 2025
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes Tianhe Zhang Suhan Liu Peng Shi FaML 74 0 0 16 Apr 2025
FairUDT: Fairness-aware Uplift Decision Trees Anam Zahid Abdur Rehman Ali Shaina Raza Rai Shahnawaz F. Kamiran Asim Karim 83 0 0 03 Feb 2025
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing Aditya Karan Naina Balepur Hari Sundaram 17 0 0 04 Sep 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 63 0 0 31 Aug 2024
On Fairness of Low-Rank Adaptation of Large Models Zhoujie Ding Ken Ziyu Liu Pura Peetathawatchai Berivan Isik Sanmi Koyejo 53 4 0 27 May 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 45 1 0 10 Nov 2023
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling Yan Luo Muhammad Osama Khan Yu Tian Minfei Shi Zehao Dou T. Elze Yi Fang Mengyu Wang 17 7 0 03 Oct 2023
A Sequentially Fair Mechanism for Multiple Sensitive Attributes Franccois Hu Philipp Ratz Arthur Charpentier FaML 25 6 0 12 Sep 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 44 10 0 16 Jun 2023
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models Leonardo Ranaldi Elena Sofia Ruzzetti Davide Venditti Dario Onorati Fabio Massimo Zanzotto 45 35 0 23 May 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 30 21 0 19 May 2023
Fairlearn: Assessing and Improving Fairness of AI Systems Hilde Weerts Miroslav Dudík Richard Edgar Adrin Jalali Roman Lutz Michael Madaio FaML 27 65 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 33 18 0 27 Mar 2023
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems Ashwin Kumar Yevgeniy Vorobeychik William Yeoh 20 6 0 25 Mar 2023
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 33 3 0 17 Mar 2023
Travel Demand Forecasting: A Fair AI Approach Xiaojian Zhang Qian Ke Xilei Zhao AI4TS 35 3 0 03 Mar 2023
Intersectional Fairness: A Fractal Approach Giulio Filippi Sara Zannone Adriano Soares Koshiyama 27 1 0 24 Feb 2023
Fairguard: Harness Logic-based Fairness Rules in Smart Cities Yiqi Zhao Ziyan An Xuqing Gao Ayan Mukhopadhyay Meiyi Ma AI4TS 21 1 0 22 Feb 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 37 2 0 25 Jan 2023
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees Songkai Xue Yuekai Sun Mikhail Yurochkin FaML 13 0 0 15 Jan 2023
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding Ashesh Rambachan Amanda Coston Edward H. Kennedy 34 4 0 19 Dec 2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes Tennison Liu Alex J. Chan B. V. Breugel M. Schaar FaML 27 2 0 11 Nov 2022
Fairness-aware Regression Robust to Adversarial Attacks Yulu Jin Lifeng Lai FaML OOD 39 4 0 04 Nov 2022
Scalable Spectral Clustering with Group Fairness Constraints Ji Wang Ding Lu Ian Davidson Z. Bai 61 16 0 28 Oct 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 46 25 0 16 Sep 2022
Algorithmic decision making methods for fair credit scoring Darie Moldovan FaML 35 7 0 16 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 24 31 0 15 Sep 2022
A Discussion of Discrimination and Fairness in Insurance Pricing M. Lindholm Ronald Richman A. Tsanakas M. Wüthrich FaML 17 8 0 02 Sep 2022
Error Parity Fairness: Testing for Group Fairness in Regression Tasks Furkan Gursoy I. Kakadiaris 36 4 0 16 Aug 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 48 28 0 26 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 27 7 0 05 May 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions Bhavya Ghai Mihir A. Mishra Klaus Mueller 32 7 0 08 Feb 2022
Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu Toan M. Tran Man-Chung Yue Viet Anh Nguyen 27 14 0 07 Feb 2022
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems Mostafa M. Mohamed Björn W. Schuller 29 5 0 02 Feb 2022
Towards Multi-Objective Statistically Fair Federated Learning Ninareh Mehrabi Cyprien de Lichy John McKay C. He William Campbell FedML 32 9 0 24 Jan 2022
Self-Paced Deep Regression Forests with Consideration of Ranking Fairness Lili Pan Mingming Meng Yazhou Ren Yali Zheng Zenglin Xu 23 1 0 13 Dec 2021
Assessing Fairness in the Presence of Missing Data Yiliang Zhang Q. Long FaML 31 35 0 07 Dec 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 37 36 0 04 Nov 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 30 29 0 26 Oct 2021
Fairness guarantee in multi-class classification Christophe Denis Romuald Elie Mohamed Hebiri Franccois Hu FaML 57 48 0 28 Sep 2021
Achieving Model Fairness in Vertical Federated Learning Changxin Liu Zhenan Fan Zirui Zhou Yang Shi J. Pei Lingyang Chu Yong Zhang FedML 60 12 0 17 Sep 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 13 20 0 13 Jun 2021
Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi Yuan Tian Geoffrey J. Gordon Han Zhao 32 25 0 24 Feb 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 38 82 0 02 Jan 2021