Fairness in Algorithmic Decision Making: An Excursion Through the Lens
of Causality

Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality

27 March 2019

Vasant Honavar

Papers citing "Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality"

18 / 18 papers shown

Title
Targeted Learning for Data Fairness Alexander Asemota Giles Hooker FaML 101 0 0 06 Feb 2025
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 51 2 0 03 Sep 2024
Learning Fair Policies for Multi-stage Selection Problems from Observational Data Zhuangzhuang Jia G. A. Hanasusanto P. Vayanos Weijun Xie FaML 23 2 0 20 Dec 2023
Mitigating Nonlinear Algorithmic Bias in Binary Classification Wendy Hui Wai Kwong Lau FaML 40 0 0 09 Dec 2023
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 33 6 0 14 Oct 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning Tao Qi Fangzhao Wu Chuhan Wu Lingjuan Lyu Tongye Xu Zhongliang Yang Yongfeng Huang Xing Xie FedML 49 36 0 07 Jun 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Biwei Huang OOD FaML 26 19 0 27 May 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 29 51 0 07 Feb 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 29 326 0 13 Dec 2021
Counterfactual Fairness in Mortgage Lending via Matching and Randomization Sama Ghoba Nathan Colaner 21 1 0 03 Dec 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 61 0 27 Oct 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 29 142 0 20 May 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 25 0 18 Jan 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making Md. Naimul Hoque Klaus Mueller CML 56 30 0 03 Jan 2021
FairBatch: Batch Selection for Model Fairness Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh VLM 14 128 0 03 Dec 2020
Causal Feature Selection for Algorithmic Fairness Sainyam Galhotra Karthikeyan Shanmugam P. Sattigeri Kush R. Varshney FaML 28 39 0 10 Jun 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 24 78 0 24 Feb 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016