Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality Sai Li Linjun Zhang OOD FaML 64 1 0 02 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David Evans 31 2 0 30 Mar 2024
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness Luca Deck Jan-Laurin Müller Conradin Braun Domenique Zipperling Niklas Kühl FaML 46 5 0 29 Mar 2024
Counterfactual Fairness through Transforming Data Orthogonal to Bias Shuyi Chen Shixiang Zhu FaML 46 2 0 26 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 36 8 0 26 Mar 2024
How to be fair? A study of label and selection bias Marco Favier T. Calders Sam Pinxteren Jonathan Meyer 41 9 0 21 Mar 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization Cheng Yang Jixi Liu Yunhe Yan Chuan Shi 34 9 0 19 Mar 2024
Auditing Fairness under Unobserved Confounding Yewon Byun Dylan Sam Michael Oberst Zachary Chase Lipton Bryan Wilder 27 6 0 18 Mar 2024
Near-Optimal Solutions of Constrained Learning Problems Juan Elenter Luiz F. O. Chamon Alejandro Ribeiro 26 5 0 18 Mar 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 47 1 0 17 Mar 2024
Balancing Fairness and Accuracy in Data-Restricted Binary Classification Zachary McBride Lazri Danial Dervovic Antigoni Polychroniadou Ivan Brugere Dana Dachman-Soled Min Wu FaML 47 0 0 12 Mar 2024
On the Nonconvexity of Push-Forward Constraints and Its Consequences in Machine Learning Lucas de Lara Mathis Deronzier Alberto González Sanz Virgile Foy 22 0 0 12 Mar 2024
Doubly Abductive Counterfactual Inference for Text-based Image Editing Xue Song Jiequan Cui Hanwang Zhang Jingjing Chen Richang Hong Yu-Gang Jiang DiffM 31 9 0 05 Mar 2024
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification Garima Chhikara Anurag Sharma Kripabandhu Ghosh Abhijnan Chakraborty 41 14 0 28 Feb 2024
Prejudice and Volatility: A Statistical Framework for Measuring Social Discrimination in Large Language Models Yiran Liu Ke Yang Zehan Qi Xiao-Yang Liu Yang Yu U. I. Urbana-Champaign 47 1 0 23 Feb 2024
Debiasing Machine Learning Models by Using Weakly Supervised Learning Renan D. B. Brotto Jean-Michel Loubes Laurent Risser J. Florens K. Filho João Marcos Travassos Romano 40 0 0 23 Feb 2024
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems Jessy Xinyi Han Andrew Miller S. C. Watkins Christopher Winship Fotini Christia Devavrat Shah 27 1 0 22 Feb 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness Weiye Chen Yiqun Xie Xiaowei Jia Erhu He Han Bao Bang An Xun Zhou 22 2 0 20 Feb 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 124 37 0 16 Feb 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 23 2 0 16 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 31 0 0 14 Feb 2024
MAFIA: Multi-Adapter Fused Inclusive LanguAge Models Prachi Jain Ashutosh Sathe Varun Gumma Kabir Ahuja Sunayana Sitaram 28 1 0 12 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning Tanmay Surve Romila Pradhan FaML FAtt 25 3 0 07 Feb 2024
Causal Feature Selection for Responsible Machine Learning Raha Moraffah Paras Sheth Saketh Vishnubhatla Huan Liu CML 27 2 0 05 Feb 2024
Counterfactual Fairness Is Not Demographic Parity, and Other Observations Ricardo Silva 21 2 0 05 Feb 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao Dong Li Chen Zhao Xintao Wu Yujie Lin Qin Tian OOD 31 8 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Explaining Text Classifiers with Counterfactual Representations Pirmin Lemberger Antoine Saillenfest 44 0 0 01 Feb 2024
FedFair^3: Unlocking Threefold Fairness in Federated Learning Simin Javaherian Sanjeev Panta Shelby Williams Md Sirajul Islam Li Chen FedML 34 4 0 29 Jan 2024
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting Masahiro Kaneko Danushka Bollegala Naoaki Okazaki Timothy Baldwin LRM 37 27 0 28 Jan 2024
Distribution-Specific Auditing For Subgroup Fairness Daniel Hsu Jizhou Huang Brendan Juba 33 0 0 27 Jan 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently Zicun Cong Baoxu Shi Shan Li Jaewon Yang Qi He Jian Pei 54 4 0 26 Jan 2024
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 38 3 0 25 Jan 2024
Causal Perception Jose M. Alvarez Salvatore Ruggieri CML 27 0 0 24 Jan 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Biwei Huang FaML 32 5 0 19 Jan 2024
Using Counterfactuals to Improve Causal Inferences from Visualizations D. Borland Arran Zeyu Wang David Gotz CML 8 8 0 16 Jan 2024
Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations Shahreen Salim Md. Naimul Hoque Klaus Mueller 23 2 0 16 Jan 2024
Fairness Certification for Natural Language Processing and Large Language Models Vincent Freiberger Erik Buchmann 44 2 0 02 Jan 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 54 2 0 19 Dec 2023
GroupMixNorm Layer for Learning Fair Models Anubha Pandey Aditi Rai Maneet Singh Deepak L. Bhatt Tanmoy Bhowmik 22 0 0 19 Dec 2023
Uncertainty-based Fairness Measures Selim Kuzucu Jiaee Cheong Hatice Gunes Sinan Kalkan UD PER 37 4 0 18 Dec 2023
An Information-Flow Perspective on Algorithmic Fairness Samuel Teuber Bernhard Beckert FaML 11 0 0 15 Dec 2023
Fair Clustering: A Causal Perspective Fritz M. Bayer Drago Plečko N. Beerenwinkel Jack Kuipers FaML 27 0 0 14 Dec 2023
Mitigating Nonlinear Algorithmic Bias in Binary Classification Wendy Hui Wai Kwong Lau FaML 40 0 0 09 Dec 2023
Detecting algorithmic bias in medical-AI models using trees Jeffrey Smith Andre L. Holder Rishikesan Kamaleswaran Yao Xie 40 1 0 05 Dec 2023
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models Aditya Chinchure Pushkar Shukla Gaurav Bhatt Kiri Salij K. Hosanagar Leonid Sigal Matthew A. Turk 21 24 0 03 Dec 2023
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 34 6 0 30 Nov 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Kenfack 23 4 0 28 Nov 2023
Automated discovery of trade-off between utility, privacy and fairness in machine learning models Bogdan Ficiu Neil D. Lawrence Andrei Paleyes 35 1 0 27 Nov 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 40 4 0 21 Nov 2023