Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Intersectionality and Testimonial Injustice in Medical Records Kenya Andrews Bhuvani Shah Lu Cheng 31 0 0 20 Jun 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 26 1 0 20 Jun 2023
Fair Causal Feature Selection Zhaolong Ling Jingxuan Wu Peng Zhou Xingyu Wu Kui Yu Xindong Wu FaML 24 1 0 17 Jun 2023
Counterfactuals Modulo Temporal Logics Bernd Finkbeiner Julian Siber 20 6 0 15 Jun 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path Vipul Gupta Pranav Narayanan Venkit Shomir Wilson R. Passonneau 50 22 0 13 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 40 6 0 08 Jun 2023
Causal normalizing flows: from theory to practice Adrián Javaloy Pablo Sánchez-Martín Isabel Valera TPM CML AI4CE 45 20 0 08 Jun 2023
Causal Fairness for Outcome Control Drago Plečko Elias Bareinboim 32 5 0 08 Jun 2023
Toward A Logical Theory Of Fairness and Bias Vaishak Belle FaML 30 1 0 08 Jun 2023
A Fair Classifier Embracing Triplet Collapse A. Martzloff N. Posocco Euranova FaML 14 0 0 07 Jun 2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition Huanzhang Dou Pengyi Zhang Wei Su Yunlong Yu Yining Lin Xi Li CVBM 36 35 0 06 Jun 2023
LEACE: Perfect linear concept erasure in closed form Nora Belrose David Schneider-Joseph Shauli Ravfogel Ryan Cotterell Edward Raff Stella Biderman KELM MU 41 103 0 06 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 34 11 0 02 Jun 2023
The Flawed Foundations of Fair Machine Learning R. Poe Soumia Zohra El Mestari FaML 33 1 0 02 Jun 2023
Unfair Utilities and First Steps Towards Improving Them Frederik Hytting Jorgensen S. Weichwald J. Peters FaML 61 0 0 01 Jun 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 35 0 0 29 May 2023
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation Yifei Wang Zhengyang Zhou Liqin Wang John Laurentiev Peter Hou Li Zhou Pengyu Hong 32 0 0 29 May 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 29 6 0 25 May 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 37 6 0 25 May 2023
Mitigating Test-Time Bias for Fair Image Retrieval Fanjie Kong Shuai Yuan Weituo Hao Ricardo Henao 34 16 0 23 May 2023
Fairness of ChatGPT Yunqi Li Lanjing Zhang Yongfeng Zhang 32 21 0 22 May 2023
On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection Fatma Elsafoury Stamos Katsigiannis 38 1 0 22 May 2023
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis Seraphina Goldfarb-Tarrant Bjorn Ross Adam Lopez 41 7 0 22 May 2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation Bjørnar Vassøy H. Langseth FaML 42 5 0 16 May 2023
On the Origins of Bias in NLP through the Lens of the Jim Code Fatma Elsafoury Gavin Abercrombie 49 4 0 16 May 2023
Surfacing Biases in Large Language Models using Contrastive Input Decoding G. Yona Or Honovich Itay Laish Roee Aharoni 27 11 0 12 May 2023
A statistical approach to detect sensitive features in a group fairness setting G. D. Pelegrina Miguel Couceiro L. Duarte 19 3 0 11 May 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges Usman Gohar Lu Cheng FaML 35 31 0 11 May 2023
Fairness in Machine Learning meets with Equity in Healthcare Shaina Raza Parisa Osivand Pour Syed Raza Bashir 24 9 0 11 May 2023
Quantifying Consistency and Information Loss for Causal Abstraction Learning Fabio Massimo Zennaro P. Turrini Theodoros Damoulas CML 30 3 0 07 May 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 51 10 0 02 May 2023
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
Systemic Fairness Arindam Ray B. Padmanabhan Lina Bouayad FaML 27 0 0 14 Apr 2023
Connecting Fairness in Machine Learning with Public Health Equity Shaina Raza 31 5 0 08 Apr 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa M. Asiedu Awa Dieng Abigail Oppong Margaret Nagawa Sanmi Koyejo Katherine A. Heller 62 7 0 05 Apr 2023
Learning from data with structured missingness R. Mitra Sarah F. McGough Tapabrata (Rohan) Chakraborty Chris Holmes Ryan Copping ... M. Mackintosh E. Andrinopoulou A. Basiri Chris Harbron Ben D. MacArthur CML 32 45 0 04 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 40 19 0 03 Apr 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness Ruijin Sun Fengwei Zhou Zhenhua Dong Chuanlong Xie Lanqing Hong Jiawei Li Rui-Xun Zhang Zerui Li Zhenguo Li 51 2 0 01 Apr 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 59 2 0 31 Mar 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 29 2 0 30 Mar 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift Ke Yang A. Meliou 37 0 0 30 Mar 2023
Queer In AI: A Case Study in Community-Led Participatory AI AI OrganizersOfQueerin : Anaelia Ovalle Arjun Subramonian Ashwin Singh ... Evyn Dǒng Jackie Kay Manu Saraswat Nikhil Vytla Luke Stark 21 47 0 29 Mar 2023
Uncovering Bias in Personal Informatics Sofia Yfantidou Pavlos Sermpezis Athena Vakali R. Baeza-Yates 24 6 0 27 Mar 2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model Tri Dung Duong Qian Li Guandong Xu 24 2 0 26 Mar 2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint Chia-Yuan Chang Jiayi Yuan Sirui Ding Qiaoyu Tan Kai Zhang Xiaoqian Jiang Xia Hu Na Zou FaML 37 9 0 24 Mar 2023
Counterfactually Fair Regression with Double Machine Learning Patrick Rehill FaML 6 1 0 21 Mar 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 30 6 0 15 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 46 18 0 15 Mar 2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision Sungwon Han Seungeon Lee Fangzhao Wu Sundong Kim Chuhan Wu Xiting Wang Xing Xie M. Cha FaML 28 6 0 15 Mar 2023
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification Zikang Xu Shang Zhao Quan Quan Qingsong Yao S. Kevin Zhou 43 13 0 15 Mar 2023