Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Causal foundations of bias, disparity and fairness V. Traag L. Waltman CML 24 10 0 27 Jul 2022
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors Beepul Bharti Paul H. Yi Jeremias Sulam 29 4 0 25 Jul 2022
Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities Pranav Dheram Murugesan Ramakrishnan A. Raju I-Fan Chen Brian King Katherine L. Powell Melissa Saboowala Karan Shetty A. Stolcke 33 33 0 22 Jul 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 22 42 0 22 Jul 2022
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 37 7 0 22 Jul 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks Zhiheng Li A. Hoogs Chenliang Xu 32 53 0 20 Jul 2022
Measuring and signing fairness as performance under multiple stakeholder distributions David Lopez-Paz Diane Bouchacourt Levent Sagun Nicolas Usunier 26 7 0 20 Jul 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 41 8 0 20 Jul 2022
Can Causal (and Counterfactual) Reasoning improve Privacy Threat Modelling? Rakshit Naidu Navid Kagalwalla 10 1 0 20 Jul 2022
Modeling Quality and Machine Learning Pipelines through Extended Feature Models Giordano dÁloisio A. Marco Giovanni Stilo 23 7 0 15 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 38 162 0 14 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 142 45 0 12 Jul 2022
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis Ruta Binkyt.e Ljupcho Grozdanovski Sami Zhioua FaML 33 0 0 08 Jul 2022
Fairness and Bias in Robot Learning Laura Londoño Juana Valeria Hurtado Nora Hertz P. Kellmeyer S. Voeneky Abhinav Valada FaML 23 9 0 07 Jul 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang Xinze Wang Yang Liu TDI FaML 28 33 0 30 Jun 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra Aleksander Madry 23 90 0 29 Jun 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Xia Hu FaML 38 0 0 29 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 24 31 0 26 Jun 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Zhaochun Ren AAML 41 14 0 24 Jun 2022
Is your model predicting the past? Moritz Hardt Michael P. Kim 29 11 0 23 Jun 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 44 11 0 22 Jun 2022
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models Emily Black Hadi Elzayn Alexandra Chouldechova Jacob Goldin Daniel E. Ho MLAU 30 25 0 20 Jun 2022
Fairness-aware Model-agnostic Positive and Unlabeled Learning Ziwei Wu Jingrui He FaML 18 11 0 19 Jun 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 34 16 0 14 Jun 2022
Comprehensive Fair Meta-learned Recommender System Tianxin Wei Jingrui He FedML FaML OffRL 24 38 0 09 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 38 26 0 08 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 26 36 0 08 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 32 8 0 07 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods Angie Boggust Harini Suresh Hendrik Strobelt John Guttag Arvindmani Satyanarayan FAtt XAI 32 8 0 07 Jun 2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics Joachim Baumann Corinna Hertweck M. Loi Christoph Heitz 35 10 0 06 Jun 2022
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs Corinna Hertweck Joachim Baumann M. Loi Eleonora Viganò Christoph Heitz FaML 24 4 0 06 Jun 2022
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 45 9 0 06 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 40 6 0 05 Jun 2022
Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy Atoosa Kasirzadeh FaML 33 39 0 02 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 27 5 0 01 Jun 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness Yuri Nakao Lorenzo Strappelli Simone Stumpf A. Naseer D. Regoli Giulia Del Gamba 20 29 0 01 Jun 2022
OmniXAI: A Library for Explainable AI Wenzhuo Yang Hung Le Tanmay Laud Silvio Savarese Guosheng Lin SyDa 35 39 0 01 Jun 2022
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation Wenzhuo Yang Jia Li Caiming Xiong Guosheng Lin CML 40 13 0 31 May 2022
Metrizing Fairness Yves Rychener Bahar Taşkesen Daniel Kuhn FaML 44 4 0 30 May 2022
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina Mohsen Abbasi Suresh Venkatasubramanian Sorelle A. Friedler K. Lum Calvin Barrett 40 3 0 30 May 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
Flexible Group Fairness Metrics for Survival Analysis R. Sonabend Florian Pfisterer Alan Mishler Moritz Schauer Lukas Burk Sumantrak Mukherjee Sandra Jeanne Vollmer FaML 27 3 0 26 May 2022
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 110 41 0 26 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 29 4 0 24 May 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 94 82 0 23 May 2022
Addressing Strategic Manipulation Disparities in Fair Classification Vijay Keswani L. E. Celis 30 3 0 22 May 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds Ludwig Bothmann Kristina Peters Bernd Bischl 24 5 0 19 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 39 20 0 18 May 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 33 17 0 18 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 47 104 0 16 May 2022