Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

14 November 2017

Papers citing "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness"

50 / 443 papers shown

Title
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith Suriyakumar Marzyeh Ghassemi Berk Ustun 44 6 0 04 Jun 2022
Practical Adversarial Multivalid Conformal Prediction Osbert Bastani Varun Gupta Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 24 54 0 02 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 30 5 0 01 Jun 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness Yuri Nakao Lorenzo Strappelli Simone Stumpf A. Naseer D. Regoli Giulia Del Gamba 20 29 0 01 Jun 2022
A Reduction to Binary Approach for Debiasing Multiclass Datasets Ibrahim M. Alabdulmohsin Jessica Schrouff Oluwasanmi Koyejo FaML MQ 41 9 0 31 May 2022
Variable importance without impossible data Masayoshi Mase Art B. Owen Benjamin B. Seiler 21 7 0 31 May 2022
Subverting machines, fluctuating identities: Re-learning human categorization Christina T. Lu Jackie Kay Kevin R. McKee 25 19 0 27 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
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 47 17 0 23 May 2022
Conditional Supervised Contrastive Learning for Fair Text Classification Jianfeng Chi Will Shand Yaodong Yu Kai-Wei Chang Han Zhao Yuan Tian FaML 54 14 0 23 May 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus 38 22 0 20 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 40 13 0 20 May 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds Ludwig Bothmann Kristina Peters Bernd Bischl 27 5 0 19 May 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 33 17 0 18 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 45 89 0 13 May 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 21 27 0 11 May 2022
What is Proxy Discrimination? Michael Carl Tschantz 11 18 0 11 May 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation Angelina Wang V. V. Ramaswamy Olga Russakovsky FaML 34 92 0 10 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 36 29 0 09 May 2022
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection Jiaxin Liu Yuefei Lyu Xi Zhang Sihong Xie 12 1 0 24 Apr 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 22 37 0 02 Mar 2022
KL Divergence Estimation with Multi-group Attribution Parikshit Gopalan Nina Narodytska Omer Reingold Vatsal Sharan Udi Wieder 21 0 0 28 Feb 2022
A Fair Empirical Risk Minimization with Generalized Entropy Young-Hwan Jin Jio Gim Tae-Jin Lee Young-Joo Suh FaML 22 1 0 24 Feb 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 24 5 0 23 Feb 2022
Distributionally Robust Data Join Pranjal Awasthi Christopher Jung Jamie Morgenstern OOD 29 3 0 11 Feb 2022
An Exploration of Multicalibration Uniform Convergence Bounds Harrison Rosenberg Robi Bhattacharjee Kassem Fawaz S. Jha 22 1 0 09 Feb 2022
Regulatory Instruments for Fair Personalized Pricing Renzhe Xu Xingxuan Zhang Pengbi Cui Yangqiu Song Zheyan Shen Jiazheng Xu 13 15 0 09 Feb 2022
PrivFair: a Library for Privacy-Preserving Fairness Auditing Sikha Pentyala David Melanson Martine De Cock G. Farnadi MLAU 19 6 0 08 Feb 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions Bhavya Ghai Mihir A. Mishra Klaus Mueller 32 7 0 08 Feb 2022
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics Tomo Lazovich Luca Belli Aaron Gonzales Amanda Bower U. Tantipongpipat K. Lum Ferenc Huszár Rumman Chowdhury 25 17 0 03 Feb 2022
Fairness of Machine Learning Algorithms in Demography I. Emmanuel E. Mitrofanova FaML 16 0 0 02 Feb 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence Peizhao Li Hongfu Liu TDI 39 47 0 01 Feb 2022
An Empirical Study of Modular Bias Mitigators and Ensembles Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar 38 8 0 01 Feb 2022
Fairness Implications of Encoding Protected Categorical Attributes Carlos Mougan J. Álvarez Salvatore Ruggieri Steffen Staab FaML 29 14 0 27 Jan 2022
An Algorithmic Framework for Bias Bounties Ira Globus-Harris Michael Kearns Aaron Roth FedML 102 24 0 25 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 31 36 0 22 Jan 2022
Treatment Effect Risk: Bounds and Inference Nathan Kallus CML 13 15 0 15 Jan 2022
Simple and near-optimal algorithms for hidden stratification and multi-group learning Abdoreza Asadpour Daniel J. Hsu 105 20 0 22 Dec 2021
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents Andrew Estornell Sanmay Das Yang Liu Yevgeniy Vorobeychik FaML 24 10 0 06 Dec 2021
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 38 19 0 26 Nov 2021
Local Justice and the Algorithmic Allocation of Societal Resources Sanmay Das 11 4 0 10 Nov 2021
Scaffolding Sets M. Burhanpurkar Zhun Deng Cynthia Dwork Linjun Zhang 41 9 0 04 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
Improving Fairness via Federated Learning Yuchen Zeng Hongxu Chen Kangwook Lee FedML 24 60 0 29 Oct 2021
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 34 9 0 27 Oct 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 25 26 0 25 Oct 2021
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method James Kotary Ferdinando Fioretto Pascal Van Hentenryck 43 20 0 12 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