Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms Alessandro Castelnovo Nicole Inverardi Gabriele Nanino Ilaria Giuseppina Penco D. Regoli FaML 21 1 0 21 Nov 2023
Measuring and Mitigating Biases in Motor Insurance Pricing Mulah Moriah Franck Vermet Arthur Charpentier 11 1 0 20 Nov 2023
Causal Fairness-Guided Dataset Reweighting using Neural Networks Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 32 1 0 17 Nov 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 23 2 0 13 Nov 2023
Counterfactually Fair Representation Zhiqun Zuo Mohammad Mahdi Khalili Xueru Zhang FaML 41 5 0 09 Nov 2023
Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics Carlos Mougan Joshua Brand 31 0 0 09 Nov 2023
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources Nan Li Bo Kang Jefrey Lijffijt T. D. Bie FaML 19 2 0 08 Nov 2023
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities G. Taşkın E. Aptoula Alp Ertürk 42 2 0 08 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 30 2 0 05 Nov 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness Jacy Reese Anthis Victor Veitch 33 12 0 30 Oct 2023
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness A. Ehyaei G. Farnadi Samira Samadi 36 1 0 30 Oct 2023
Responsible AI (RAI) Games and Ensembles Yash Gupta Runtian Zhai A. Suggala Pradeep Ravikumar 22 0 0 28 Oct 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 36 2 0 26 Oct 2023
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness Zachary McBride Lazri Ivan Brugere Xin Tian Dana Dachman-Soled Antigoni Polychroniadou Danial Dervovic Min Wu 18 0 0 23 Oct 2023
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Qiufeng Wang Jian Wu Zuo-Qiang Liu MU 37 60 0 19 Oct 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Jakub Marecek 42 3 0 17 Oct 2023
Fair Classifiers that Abstain without Harm Tongxin Yin Jean-François Ton Ruocheng Guo Yuanshun Yao Mingyan Liu Yang Liu 27 4 0 09 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 33 5 0 09 Oct 2023
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 39 3 0 08 Oct 2023
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning S. Wei Xiangrui Kong Á. Xavier Shixiang Zhu Yao Xie Feng Qiu 40 1 0 05 Oct 2023
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms James Brookhouse Alex Freitas FaML 19 2 0 04 Oct 2023
A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional Data Shashank Shekhar Asif Salim Adesh Bansode Vivaswan Jinturkar Anirudha Nayak 24 0 0 30 Sep 2023
Survey of Social Bias in Vision-Language Models Nayeon Lee Yejin Bang Holy Lovenia Samuel Cahyawijaya Wenliang Dai Pascale Fung VLM 49 16 0 24 Sep 2023
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments Yujie Lin Chen Zhao Minglai Shao Baoluo Meng Xujiang Zhao Haifeng Chen 26 3 0 22 Sep 2023
Bias and Fairness in Chatbots: An Overview Jintang Xue Yun Cheng Wang Chengwei Wei Xiaofeng Liu Jonghye Woo C.-C. Jay Kuo 41 29 0 16 Sep 2023
Re-formalization of Individual Fairness Toshihiro Kamishima FaML 16 0 0 11 Sep 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments James Enouen Tianshu Sun Yan Liu FaML 29 0 0 04 Sep 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng Li FaML AI4TS 44 2 0 23 Aug 2023
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder Zheng Liu Xiaohan Li Philip Yu CML 38 1 0 22 Aug 2023
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces A. Ehyaei Kiarash Mohammadi Amir-Hossein Karimi Samira Samadi G. Farnadi AAML 18 2 0 17 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 24 3 0 16 Aug 2023
Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare Eran Tal CML OOD 24 9 0 03 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity S. Kim Stefan Lessmann G. Andreeva Michael Rovatsos FaML 32 4 0 01 Aug 2023
Counterfactual Graph Transformer for Traffic Flow Prediction Yingbin Yang Kai Du Xingyuan Dai Jianwu Fang AI4TS 45 1 0 01 Aug 2023
Monitoring Algorithmic Fairness under Partial Observations T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 35 2 0 01 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 47 1 0 28 Jul 2023
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions Ludwig Bothmann Susanne Dandl M. Schomaker FaML 29 3 0 24 Jul 2023
Navigating Fairness Measures and Trade-Offs Stefan Buijsman 23 8 0 17 Jul 2023
FairLay-ML: Intuitive Remedies for Unfairness in Data-Driven Social-Critical Algorithms Normen Yu Gang Tan Saeid Tizpaz-Niari FaML 19 4 0 11 Jul 2023
Towards Assumption-free Bias Mitigation Chia-Yuan Chang Yu-Neng Chuang Kwei-Herng Lai Xiaotian Han Xia Hu Na Zou 32 4 0 09 Jul 2023
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables Ruta Binkyt.e D. Gorla C. Palamidessi FaML 30 1 0 06 Jul 2023
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks Zhaofeng Wu Linlu Qiu Alexis Ross Ekin Akyürek Boyuan Chen Bailin Wang Najoung Kim Jacob Andreas Yoon Kim LRM ReLM 63 197 0 05 Jul 2023
Algorithms, Incentives, and Democracy E. M. Penn John W. Patty FaML 30 1 0 05 Jul 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 52 13 0 04 Jul 2023
Learning Fair Classifiers via Min-Max F-divergence Regularization Meiyu Zhong Ravi Tandon FaML 21 4 0 28 Jun 2023
Simulating counterfactuals Juha Karvanen Santtu Tikka M. Vihola 40 1 0 27 Jun 2023
FAIRER: Fairness as Decision Rationale Alignment Tianlin Li Qing Guo Aishan Liu Mengnan Du Zhiming Li Yang Liu 30 13 0 27 Jun 2023
Fairness Aware Counterfactuals for Subgroups Loukas Kavouras Konstantinos Tsopelas G. Giannopoulos Dimitris Sacharidis Eleni Psaroudaki Nikolaos Theologitis D. Rontogiannis Dimitris Fotakis Ioannis Emiris 60 8 0 26 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 34 43 0 25 Jun 2023
Auditing Predictive Models for Intersectional Biases Karen Boxer E. McFowland Daniel B. Neill 17 2 0 22 Jun 2023