Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 42 28 0 10 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 44 21 0 29 Dec 2021
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification Haibin Zheng Zhiqing Chen Tianyu Du Xuhong Zhang Yao Cheng S. Ji Jingyi Wang Yue Yu Jinyin Chen 27 51 0 25 Dec 2021
Demanding and Designing Aligned Cognitive Architectures K. Holtman 11 1 0 19 Dec 2021
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 16 53 0 17 Dec 2021
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
Thinking Beyond Distributions in Testing Machine Learned Models Negar Rostamzadeh B. Hutchinson Christina Greer Vinodkumar Prabhakaran TTA 45 6 0 06 Dec 2021
Counterfactual Fairness in Mortgage Lending via Matching and Randomization Sama Ghoba Nathan Colaner 23 1 0 03 Dec 2021
DeDUCE: Generating Counterfactual Explanations Efficiently Benedikt Höltgen Lisa Schut J. Brauner Y. Gal CML 37 6 0 29 Nov 2021
Learning Fair Classifiers with Partially Annotated Group Labels Sangwon Jung Sanghyuk Chun Taesup Moon 65 46 0 29 Nov 2021
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 33 1 0 29 Nov 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric Xing OOD 47 112 0 27 Nov 2021
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions Chunxi Liu M. Picheny Leda Sari Pooja Chitkara Alex Xiao Xiaohui Zhang Mark Chou Andres Alvarado C. Hazirbas Yatharth Saraf 35 41 0 18 Nov 2021
Local Justice and the Algorithmic Allocation of Societal Resources Sanmay Das 11 4 0 10 Nov 2021
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation Jakob Mokander M. Axente F. Casolari Luciano Floridi 72 86 0 09 Nov 2021
Identifying Best Fair Intervention Ruijiang Gao Han Feng FaML 6 0 0 08 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 37 36 0 04 Nov 2021
Data Synthesis for Testing Black-Box Machine Learning Models Diptikalyan Saha Aniya Aggarwal Sandeep Hans 25 4 0 03 Nov 2021
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services Eren Kurshan Jiahao Chen Victor Storchan Hongda Shen FaML AIFin 39 9 0 02 Nov 2021
Unintended Selection: Persistent Qualification Rate Disparities and Interventions Reilly P. Raab Yang Liu 17 24 0 01 Nov 2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Pablo Sánchez-Martín Miriam Rateike Isabel Valera CML BDL 39 14 0 27 Oct 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 61 0 27 Oct 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks A. Saha Trent Kyono J. Linmans M. Schaar CML 37 106 0 25 Oct 2021
Debiasing Credit Scoring using Evolutionary Algorithms Nigel Kingsman 20 2 0 25 Oct 2021
fairadapt: Causal Reasoning for Fair Data Pre-processing Drago Plečko Nicolas Bennett N. Meinshausen FaML 19 10 0 19 Oct 2021
Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair Ashutosh Kumar Singh Jashandeep Singh Ariba Khan Amar Gupta FaML 21 3 0 17 Oct 2021
Poisoning Attacks on Fair Machine Learning Minh-Hao Van Wei Du Xintao Wu Aidong Lu AAML 11 23 0 17 Oct 2021
Logic Constraints to Feature Importances Nicola Picchiotti Marco Gori 18 0 0 13 Oct 2021
Causal Explanations of Structural Causal Models Matej Zevcević Devendra Singh Dhami Constantin Rothkopf Kristian Kersting LRM 27 2 0 05 Oct 2021
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification G. Rothblum G. Yona FaML 35 1 0 02 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 241 0 01 Oct 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 32 94 0 27 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 26 27 0 25 Sep 2021
Achieving Counterfactual Fairness for Causal Bandit Wen Huang Lu Zhang Xintao Wu CML 125 22 0 21 Sep 2021
Algorithmic Fairness Verification with Graphical Models Bishwamittra Ghosh D. Basu Kuldeep S. Meel FaML 26 18 0 20 Sep 2021
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood Madison Coots Henry Zhu Emma Brunskill Sharad Goel FaML 26 23 0 18 Sep 2021
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education Hadis Anahideh Parian Haghighat Nazanin Nezami Denisa Gándara 19 0 0 13 Sep 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu Xinze Wang FaML 157 95 0 12 Sep 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 24 27 0 10 Sep 2021
Fair Conformal Predictors for Applications in Medical Imaging Charles Lu A. Lemay Ken Chang K. Hoebel Jayashree Kalpathy-Cramer MedIm 22 67 0 09 Sep 2021
A Systematic Approach to Group Fairness in Automated Decision Making Corinna Hertweck Christoph Heitz FaML 18 2 0 09 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 36 42 0 07 Sep 2021
Estimating Categorical Counterfactuals via Deep Twin Networks Athanasios Vlontzos Bernhard Kainz Ciarán M. Gilligan-Lee OOD CML BDL 28 16 0 04 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 43 235 0 02 Sep 2021
Problem Learning: Towards the Free Will of Machines Yongfeng Zhang FaML 34 2 0 01 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 69 519 0 31 Aug 2021
Transport-based Counterfactual Models Lucas de Lara Alberto González Sanz Nicholas M. Asher Laurent Risser Jean-Michel Loubes 33 27 0 30 Aug 2021
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms Myra Cheng Maria De-Arteaga Lester W. Mackey Adam Tauman Kalai FaML 35 7 0 25 Aug 2021
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets Gonzalo Nápoles Lisa Koutsoviti Koumeri 31 17 0 20 Aug 2021
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification Yongming Rao Guangyi Chen Jiwen Lu Jie Zhou CML OOD 19 235 0 19 Aug 2021