Bias Mitigation Post-processing for Individual and Group Fairness

14 December 2018

P. Lohia

Karthikeyan N. Ramamurthy

Papers citing "Bias Mitigation Post-processing for Individual and Group Fairness"

26 / 26 papers shown

Title
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
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 63 0 0 31 Aug 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 41 3 0 29 Aug 2024
On the (In)Compatibility between Group Fairness and Individual Fairness Shizhou Xu Thomas Strohmer FaML 26 2 0 13 Jan 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 36 2 0 07 Jan 2024
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis Simone Lazier Saravanan Thirumuruganathan Hadis Anahideh 33 3 0 25 Apr 2023
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre Dognin Kush R. Varshney FaML 29 28 0 13 Dec 2022
Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models Rasoul Shahsavarifar Jithu Chandran M. Inchiosa A. Deshpande Mario Schlener V. Gossain Yara Elias Vinaya Murali FaML 16 0 0 11 Nov 2022
Improving Fairness in Image Classification via Sketching Ruichen Yao Ziteng Cui Xiaoxiao Li Lin Gu 38 15 0 31 Oct 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation Alessandro Castelnovo Riccardo Crupi Nicole Inverardi D. Regoli A. Cosentini SyDa 29 3 0 13 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 38 17 0 22 Aug 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 33 40 0 10 Aug 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 35 5 0 01 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 32 13 0 31 May 2022
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models Peng Kuang Xiaowei Dong Henry Xue Zhifei Zhang Weifeng Chiu Tao Wei Kui Ren AAML 21 71 0 03 Mar 2022
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim M. Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 56 6 0 31 Jan 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 42 28 0 10 Jan 2022
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks A. Saha Trent Kyono J. Linmans M. Schaar CML 37 106 0 25 Oct 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 33 197 0 02 Oct 2021
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness Tong Wang M. Saar-Tsechansky 31 11 0 17 Nov 2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 37 49 0 25 Sep 2020
Same-Day Delivery with Fairness Xinwei Chen Tong Wang Barrett W. Thomas M. Ulmer 42 27 0 19 Jul 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness Samuel Yeom Matt Fredrikson AAML 21 26 0 18 Feb 2020
Avoiding Resentment Via Monotonic Fairness G. W. Cole Sinead Williamson FaML 27 7 0 03 Sep 2019