Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

26 October 2016

Muhammad Bilal Zafar

Isabel Valera

Manuel Gomez Rodriguez

Krishna P. Gummadi

FaML

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Papers citing "Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment"

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Demystifying the Effects of Non-Independence in Federated Learning Stefan Arnold Dilara Yesilbas FedML 34 4 0 20 Mar 2021
Algorithmic Challenges in Ensuring Fairness at the Time of Decision Jad Salem Swati Gupta Vijay Kamble FaML 26 4 0 16 Mar 2021
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations Marzieh Karimi-Haghighi Carlos Castillo Davinia Hernández Leo Verónica Moreno Oliver FaML 27 6 0 16 Mar 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning Hantian Zhang Xu Chu Abolfazl Asudeh S. Navathe FaML VLM 29 45 0 13 Mar 2021
Wasserstein Robust Classification with Fairness Constraints Yijie Wang Viet Anh Nguyen G. A. Hanasusanto OOD 25 10 0 11 Mar 2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems Chloé Bakalar Renata Barreto Stevie Bergman Miranda Bogen Bobbie Chern ... J. Simons Jonathan Tannen Edmund Tong Kate Vredenburgh Jiejing Zhao FaML 19 27 0 10 Mar 2021
Fairness seen as Global Sensitivity Analysis Clément Bénesse Fabrice Gamboa Jean-Michel Loubes Thibaut Boissin 21 13 0 08 Mar 2021
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications Nikita Kozodoi Johannes Jacob Stefan Lessmann FaML 35 113 0 02 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 43 94 0 02 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 27 158 0 25 Feb 2021
Classification with abstention but without disparities Nicolas Schreuder Evgenii Chzhen FaML 30 23 0 24 Feb 2021
Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi Yuan Tian Geoffrey J. Gordon Han Zhao 32 25 0 24 Feb 2021
Coping with Mistreatment in Fair Algorithms Ankit Kulshrestha Ilya Safro FaML 11 3 0 22 Feb 2021
A Consistent Extension of Discrete Optimal Transport Maps for Machine Learning Applications Lucas de Lara Alberto González Sanz Jean-Michel Loubes OT 43 9 0 17 Feb 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 54 56 0 16 Feb 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 25 22 0 12 Feb 2021
Disentangled Representations from Non-Disentangled Models Valentin Khrulkov L. Mirvakhabova Ivan Oseledets Artem Babenko OCL DRL CoGe 36 15 0 11 Feb 2021
A Ranking Approach to Fair Classification Jakob Schoeffer Niklas Kuehl Isabel Valera FaML 32 7 0 08 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 16 24 0 05 Feb 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems H. Cheng Logan Stapleton Ruiqi Wang Paige E Bullock Alexandra Chouldechova Zhiwei Steven Wu Haiyi Zhu FaML 23 66 0 01 Feb 2021
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users Tim Draws Zoltán Szlávik Benjamin Timmermans N. Tintarev Kush R. Varshney Michael Hind FaML 21 5 0 29 Jan 2021
Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All? Martin Aumüller Sariel Har-Peled S. Mahabadi Rasmus Pagh Francesco Silvestri 13 14 0 26 Jan 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 25 0 18 Jan 2021
Optimal Pre-Processing to Achieve Fairness and Its Relationship with Total Variation Barycenter F. Farokhi 14 4 0 18 Jan 2021
Learning to Ignore: Fair and Task Independent Representations Linda Helen Boedi H. Grabner FaML OOD 21 1 0 11 Jan 2021
A Tale of Fairness Revisited: Beyond Adversarial Learning for Deep Neural Network Fairness Becky Mashaido Winston Moh Tangongho FaML 13 0 0 08 Jan 2021
Fair Training of Decision Tree Classifiers Francesco Ranzato Caterina Urban Marco Zanella FaML 22 12 0 04 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms Qing Ye Weijun Xie FaML 32 13 0 22 Dec 2020
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective Naman Goel Alfonso Amayuelas Amit Deshpande Ajay Sharma FaML 41 29 0 21 Dec 2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 33 18 0 17 Dec 2020
Stochastic Compositional Gradient Descent under Compositional Constraints Srujan Teja Thomdapu Harsh Vardhan K. Rajawat 29 12 0 17 Dec 2020
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 36 67 0 16 Dec 2020
Investigating Bias in Image Classification using Model Explanations S. Tong Lalana Kagal FaML FAtt XAI 18 15 0 10 Dec 2020
A Statistical Test for Probabilistic Fairness Bahar Taşkesen Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen FaML 16 38 0 09 Dec 2020
FairOD: Fairness-aware Outlier Detection Shubhranshu Shekhar Neil Shah Leman Akoglu 34 37 0 05 Dec 2020
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy Kit T. Rodolfa Hemank Lamba Rayid Ghani 46 85 0 05 Dec 2020
FairBatch: Batch Selection for Model Fairness Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh VLM 30 129 0 03 Dec 2020
Fair Attribute Classification through Latent Space De-biasing V. V. Ramaswamy Sunnie S. Y. Kim Olga Russakovsky 25 162 0 02 Dec 2020
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint Yao Wu Jian Cao Guandong Xu 9 4 0 02 Dec 2020
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation Sunhee Hwang Sungho Park D. Kim Mirae Do H. Byun CVBM 46 32 0 01 Dec 2020
Towards Auditability for Fairness in Deep Learning Ivoline C. Ngong Krystal Maughan Joseph P. Near FedML 21 3 0 30 Nov 2020
An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression Evgenii Chzhen Nicolas Schreuder FaML 20 4 0 13 Nov 2020
Metric-Free Individual Fairness with Cooperative Contextual Bandits Qian Hu Huzefa Rangwala FaML 29 10 0 13 Nov 2020
Debiasing classifiers: is reality at variance with expectation? Ashrya Agrawal Florian Pfisterer B. Bischl Francois Buet-Golfouse Srijan Sood Jiahao Chen Sameena Shah Sebastian J. Vollmer CML FaML 19 18 0 04 Nov 2020
Fairness in Biometrics: a figure of merit to assess biometric verification systems Tiago de Freitas Pereira S´ebastien Marcel 24 62 0 04 Nov 2020
(Un)fairness in Post-operative Complication Prediction Models Sandhya Tripathi Bradley A. Fritz M. Abdelhack M. Avidan Yixin Chen C. King 19 4 0 03 Nov 2020
Making ML models fairer through explanations: the case of LimeOut Guilherme Alves Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 22 7 0 01 Nov 2020
Fair Classification with Group-Dependent Label Noise Jialu Wang Yang Liu Caleb C. Levy NoLa 16 102 0 31 Oct 2020
Inherent Trade-offs in the Fair Allocation of Treatments Yuzi He Keith Burghardt Siyi Guo Kristina Lerman FaML 16 5 0 30 Oct 2020