A Convex Framework for Fair Regression

7 June 2017

Hoda Heidari

Papers citing "A Convex Framework for Fair Regression"

50 / 184 papers shown

Title
Mean Parity Fair Regression in RKHS Shaokui Wei Jiayin Liu Bing Li H. Zha 11 3 0 21 Feb 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 23 9 0 18 Feb 2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits Robert C. Gray Jennifer Villareale T. Fox Diane H Dallal Santiago Ontañón D. Arigo S. Jabbari Jichen Zhu 13 4 0 18 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 33 18 0 13 Feb 2023
From Utilitarian to Rawlsian Designs for Algorithmic Fairness Daniel E. Rigobon FaML 20 1 0 07 Feb 2023
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 25 10 0 21 Dec 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 24 22 0 23 Nov 2022
On Penalization in Stochastic Multi-armed Bandits Guanhua Fang P. Li G. Samorodnitsky FaML 21 1 0 15 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 40 17 0 30 Oct 2022
Conformalized Fairness via Quantile Regression Meichen Liu Lei Ding Dengdeng Yu Wulong Liu Linglong Kong Bei Jiang 42 9 0 05 Oct 2022
Fair admission risk prediction with proportional multicalibration William La Cava Elle Lett Guangya Wan 32 7 0 29 Sep 2022
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances Minghua Ma Zhao Tian Max Hort Federica Sarro Hongyu Zhang Qingwei Lin Dongmei Zhang 13 5 0 17 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 35 1 0 15 Sep 2022
Error Parity Fairness: Testing for Group Fairness in Regression Tasks Furkan Gursoy I. Kakadiaris 22 4 0 16 Aug 2022
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 25 7 0 22 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 31 159 0 14 Jul 2022
Fair Generalized Linear Models with a Convex Penalty Hyungrok Do Preston J. Putzel Axel Martin Padhraic Smyth Judy Zhong FaML 20 14 0 18 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 25 26 0 08 Jun 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier Camille Olivia Little Michael Weylandt Genevera I. Allen 22 13 0 31 May 2022
Metrizing Fairness Yves Rychener Bahar Taşkesen Daniel Kuhn FaML 36 4 0 30 May 2022
Debiasing Neural Retrieval via In-batch Balancing Regularization Yuantong Li Xiaokai Wei Zijian Wang Shen Wang Parminder Bhatia Xiaofei Ma Andrew O. Arnold 28 5 0 18 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 17 7 0 05 May 2022
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models Abdulaziz A. Almuzaini V. Singh MLAU FaML 28 6 0 22 Apr 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 16 11 0 24 Feb 2022
A Lagrangian Duality Approach to Active Learning Juan Elenter Navid Naderializadeh Alejandro Ribeiro 22 21 0 08 Feb 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions Bhavya Ghai Mihir A. Mishra Klaus Mueller 17 7 0 08 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 18 11 0 03 Feb 2022
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems Mostafa M. Mohamed Björn W. Schuller 11 5 0 02 Feb 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 81 30 0 31 Jan 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 27 12 0 24 Jan 2022
Uncovering the Source of Machine Bias Xiyang Hu Yan-ping Huang Beibei Li Tian Lu FaML 17 2 0 09 Jan 2022
Fair Data Representation for Machine Learning at the Pareto Frontier Shizhou Xu Thomas Strohmer 12 5 0 02 Jan 2022
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 13 12 0 16 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 24 36 0 04 Nov 2021
Selective Regression Under Fairness Criteria Abhin Shah Yuheng Bu Joshua K. Lee Subhro Das Rameswar Panda P. Sattigeri G. Wornell 17 27 0 28 Oct 2021
Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair Ashutosh Kumar Singh Jashandeep Singh Ariba Khan Amar Gupta FaML 14 3 0 17 Oct 2021
Fair Regression under Sample Selection Bias Wei Du Xintao Wu Hanghang Tong 11 4 0 08 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 240 0 01 Oct 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes Alan Mishler Edward H. Kennedy FaML 25 23 0 01 Sep 2021
The Sharpe predictor for fairness in machine learning Suyun Liu Luis Nunes Vicente 35 3 0 13 Aug 2021
Fair Representation Learning using Interpolation Enabled Disentanglement Akshita Jha B. Vinzamuri Chandan K. Reddy FedML 30 3 0 31 Jul 2021
Probabilistic Verification of Neural Networks Against Group Fairness Bing-Jie Sun Jun Sun Ting Dai Lijun Zhang AAML 11 22 0 18 Jul 2021
Fairness-aware Summarization for Justified Decision-Making Moniba Keymanesh T. Berger-Wolf Micha Elsner S. Parthasarathy 14 5 0 13 Jul 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 96 196 0 12 Jul 2021
Bias-Tolerant Fair Classification Yixuan Zhang Feng Zhou Zhidong Li Yang Wang Fang Chen 20 2 0 07 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 17 71 0 04 Jul 2021
Fair Decision Rules for Binary Classification Connor Lawless Oktay Gunluk FaML 26 6 0 03 Jul 2021
Costs and Benefits of Fair Regression Han Zhao FaML 14 8 0 16 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 11 181 0 01 Jun 2021