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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COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 33 6 0 14 Oct 2022
Equal Improvability: A New Fairness Notion Considering the Long-term Impact Ozgur Guldogan Yuchen Zeng Jy-yong Sohn Ramtin Pedarsani Kangwook Lee FaML 37 13 0 13 Oct 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 23 1 0 12 Oct 2022
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis Laurent Risser Agustin Picard Lucas Hervier Jean-Michel Loubes FaML 41 5 0 10 Oct 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 57 47 0 23 Sep 2022
Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks Haodong Duan Yue Zhao Kai-xiang Chen Yu Xiong Dahua Lin 21 7 0 20 Sep 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 46 25 0 16 Sep 2022
Omnipredictors for Constrained Optimization Lunjia Hu Inbal Livni-Navon Omer Reingold Chutong Yang 28 14 0 15 Sep 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Siyuan Liang Yichao Wu Ding Liang XiangLong Liu Aishan Liu 28 11 0 15 Sep 2022
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection Eric Enouen Katja Mathesius Sean Wang Arielle K. Carr Sihong Xie 20 2 0 15 Sep 2022
iFlipper: Label Flipping for Individual Fairness Hantian Zhang Ki Hyun Tae Jaeyoung Park Xu Chu Steven Euijong Whang 33 7 0 15 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 53 1 0 15 Sep 2022
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making Nina Grgic-Hlaca C. Castelluccia Krishna P. Gummadi HAI 43 12 0 08 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 38 17 0 22 Aug 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Ke Wang FaML OOD CML 50 7 0 19 Aug 2022
Invariant Representations with Stochastically Quantized Neural Networks Mattia Cerrato Marius Köppel Roberto Esposito Stefan Kramer MQ 34 4 0 04 Aug 2022
De-biased Representation Learning for Fairness with Unreliable Labels Yixuan Zhang Feng Zhou Zhidong Li Yang Wang Fang Chen 17 0 0 01 Aug 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie Pin-Yu Chen Qinbin Li Arash Nourian Ce Zhang Bo Li FedML 47 16 0 20 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
Revealing Unfair Models by Mining Interpretable Evidence Mohit Bajaj Lingyang Chu Vittorio Romaniello Gursimran Singh Jian Pei Zirui Zhou Lanjun Wang Yong Zhang FaML 30 0 0 12 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
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 43 0 0 29 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 32 13 0 22 Jun 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 49 11 0 22 Jun 2022
Fair Generalized Linear Models with a Convex Penalty Hyungrok Do Preston J. Putzel Axel Martin Padhraic Smyth Judy Zhong FaML 31 14 0 18 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications Abdulaziz A. Almuzaini C. Bhatt David M. Pennock V. Singh FaML 30 10 0 14 Jun 2022
Bounding and Approximating Intersectional Fairness through Marginal Fairness M. Molina P. Loiseau 34 8 0 12 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
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 32 8 0 07 Jun 2022
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency Joachim Baumann Anikó Hannák Christoph Heitz FaML 27 23 0 05 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 40 6 0 05 Jun 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith Suriyakumar Marzyeh Ghassemi Berk Ustun 44 6 0 04 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 35 5 0 01 Jun 2022
A Reduction to Binary Approach for Debiasing Multiclass Datasets Ibrahim M. Alabdulmohsin Jessica Schrouff Oluwasanmi Koyejo FaML MQ 44 9 0 31 May 2022
Automatic Short Math Answer Grading via In-context Meta-learning Mengxue Zhang Sami Baral Neil T. Heffernan Andrew Lan AI4Ed AIMat 25 25 0 30 May 2022
Metrizing Fairness Yves Rychener Bahar Taşkesen Daniel Kuhn FaML 49 4 0 30 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
Automated Scoring for Reading Comprehension via In-context BERT Tuning Nigel Fernandez Aritra Ghosh Naiming Liu Zichao Wang Benoît Choffin Richard Baraniuk Andrew Lan 17 20 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
Fair Bayes-Optimal Classifiers Under Predictive Parity Xianli Zeng Yan Sun Guang Cheng FaML 17 14 0 15 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Miriam Rateike Ayan Majumdar Olga Mineeva Krishna P. Gummadi Isabel Valera OffRL 39 11 0 10 May 2022
On Disentangled and Locally Fair Representations Yaron Gurovich Sagie Benaim Lior Wolf FaML 6 0 0 05 May 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 34 28 0 05 May 2022
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning K. Mathewson P. Pilarski HAI 24 4 0 20 Apr 2022
Breaking Fair Binary Classification with Optimal Flipping Attacks Changhun Jo Jy-yong Sohn Kangwook Lee FaML 33 7 0 12 Apr 2022
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 37 11 0 11 Apr 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks Michael Lohaus Matthäus Kleindessner K. Kenthapadi Francesco Locatello Chris Russell 27 12 0 09 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 51 43 0 06 Apr 2022