AdaFair: Cumulative Fairness Adaptive Boosting

17 September 2019

Papers citing "AdaFair: Cumulative Fairness Adaptive Boosting"

25 / 25 papers shown

Title
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets Ata Yalcin Asli Umay Ozturk Yigit Sever Viktoria Pauw Stephan Hachinger Ismail Hakki Toroslu Pinar Karagoz FaML 38 0 0 17 Jun 2025
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 121 0 0 16 Apr 2025
An experimental study on fairness-aware machine learning for credit scoring problem Huyen Giang Thi Thu Thang Viet Doan Tai Le Quy FaML 79 0 0 31 Dec 2024
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 168 0 0 31 Dec 2024
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 67 4 0 23 Jan 2024
Identifying Reasons for Bias: An Argumentation-Based Approach Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML 77 2 0 25 Oct 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 67 2 0 31 May 2023
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview Arjun Roy J. Horstmann Eirini Ntoutsi FaML 67 21 0 12 Feb 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 131 3 0 25 Jan 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 58 6 0 13 Jan 2023
Discrimination and Class Imbalance Aware Online Naive Bayes Maryam Badar M. Fisichella Vasileios Iosifidis Wolfgang Nejdl FaML 30 1 0 09 Nov 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 98 26 0 16 Sep 2022
FairGBM: Gradient Boosting with Fairness Constraints André F. Cruz Catarina Belém Sérgio Jesus Joao Bravo Pedro Saleiro P. Bizarro 81 24 0 16 Sep 2022
Power of Explanations: Towards automatic debiasing in hate speech detection Yitao Cai Arthur Zimek Gerhard Wunder Eirini Ntoutsi 71 6 0 07 Sep 2022
Evaluation of group fairness measures in student performance prediction problems Tai Le Quy Thi-Huyen Nguyen Gunnar Friege Eirini Ntoutsi 50 7 0 22 Aug 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 109 177 0 14 Jul 2022
Context matters for fairness -- a case study on the effect of spatial distribution shifts Siamak Ghodsi Harith Alani Eirini Ntoutsi 59 2 0 23 Jun 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 104 12 0 22 Jun 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 83 351 0 13 Dec 2021
Boosted CVaR Classification Runtian Zhai Chen Dan A. Suggala Zico Kolter Pradeep Ravikumar 85 17 0 26 Oct 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance Grace Deng Cuize Han T. Dreossi Clarence Lee David S. Matteson AI4TS 64 10 0 14 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 112 252 0 01 Oct 2021
Online Fairness-Aware Learning with Imbalanced Data Streams Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML AI4TS 53 8 0 13 Aug 2021
FairBatch: Batch Selection for Model Fairness Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh VLM 99 133 0 03 Dec 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 110 654 0 04 Oct 2020