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

ArXiv PDF HTML

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

50 / 572 papers shown

Title
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz Moritz Hardt 33 11 0 12 Jun 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 42 1 0 11 Jun 2023
Toward A Logical Theory Of Fairness and Bias Vaishak Belle FaML 30 1 0 08 Jun 2023
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning A. Timmaraju M. Mashayekhi Mingliang Chen Qinya Zeng Quintin Fettes ... M. Kannadasan Pushkar Tripathi Sean M. Gahagan Miranda Boge Rob Roudani 22 8 0 05 Jun 2023
Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations V. Venugopal Abhishek Gupta R. Takhar Charlene Jin Yee Liew Catherine Jones G. Szarf 19 1 0 02 Jun 2023
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions Mengxue Zhang Neil T. Heffernan Andrew Lan 14 0 0 01 Jun 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 38 2 0 31 May 2023
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation Yifei Wang Zhengyang Zhou Liqin Wang John Laurentiev Peter Hou Li Zhou Pengyu Hong 35 0 0 29 May 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML Luca Giuliani Eleonora Misino M. Lombardi 30 3 0 29 May 2023
Fairness of ChatGPT Yunqi Li Lanjing Zhang Yongfeng Zhang 37 21 0 22 May 2023
Runtime Monitoring of Dynamic Fairness Properties T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik 40 14 0 08 May 2023
On the Impact of Data Quality on Image Classification Fairness Aki Barry Lei Han Gianluca Demartini 50 4 0 02 May 2023
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement Xuan Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Shiwei Wang 18 2 0 09 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models Emilio Ferrara SILM 38 248 0 07 Apr 2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision Sungwon Han Seungeon Lee Fangzhao Wu Sundong Kim Chuhan Wu Xiting Wang Xing Xie M. Cha FaML 28 6 0 15 Mar 2023
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values Adrián Arnaiz-Rodríguez Nuria Oliver FedML TDI 10 2 0 03 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization Sangwon Jung Taeeon Park Sanghyuk Chun Taesup Moon 23 20 0 01 Mar 2023
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? Fanny Jourdan Titon Tshiongo Kaninku Nicholas M. Asher Jean-Michel Loubes Laurent Risser FaML 36 4 0 27 Feb 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification Tianci Liu Haoyu Wang Yaqing Wang Xiaoqian Wang Lu Su Jing Gao 43 7 0 19 Feb 2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits Robert C. Gray Jennifer Villareale T. Fox Diane H Dallal Santiago Ontañón D. Arigo S. Jabbari Jichen Zhu 21 4 0 18 Feb 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 18 13 0 17 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 41 18 0 13 Feb 2023
Improving Recommendation Fairness via Data Augmentation Lei Chen Le Wu Kun Zhang Richang Hong Defu Lian Qing Cui Jun Zhou Meng Wang FedML 27 44 0 13 Feb 2023
On Comparing Fair Classifiers under Data Bias Mohit Sharma Amit Deshpande R. Shah 29 2 0 12 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani Josip Djolonga Basil Mustafa Piotr Padlewski Jonathan Heek ... Mario Luvcić Xiaohua Zhai Daniel Keysers Jeremiah Harmsen N. Houlsby MLLM 90 576 0 10 Feb 2023
Local Law 144: A Critical Analysis of Regression Metrics Giulio Filippi Sara Zannone Airlie Hilliard Adriano Soares Koshiyama MLAU 11 2 0 08 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 26 8 0 06 Feb 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 37 17 0 05 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 41 21 0 02 Feb 2023
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 26 1 0 02 Feb 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve Rishabh Tiwari Pradeep Shenoy 43 20 0 30 Jan 2023
Fair Decision-making Under Uncertainty Wenbin Zhang Jeremy C. Weiss 45 38 0 29 Jan 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 43 9 0 29 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 37 2 0 25 Jan 2023
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 35 10 0 21 Dec 2022
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis Zifan Liu Evan Rosen P. Suganthan 26 1 0 18 Dec 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre Dognin Kush R. Varshney FaML 29 28 0 13 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 38 4 0 13 Dec 2022
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results Nathanael Jo Bill Tang Kathryn Dullerud S. Aghaei Eric Rice P. Vayanos 13 7 0 04 Dec 2022
Robustness Disparities in Face Detection Samuel Dooley George Z. Wei Tom Goldstein John P. Dickerson CVBM 43 8 0 29 Nov 2022
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records Linying Zhang L. Richter Yixin Wang A. Ostropolets Noémie Elhadad David M. Blei G. Hripcsak CML 42 1 0 21 Nov 2022
On Penalization in Stochastic Multi-armed Bandits Guanhua Fang P. Li G. Samorodnitsky FaML 34 1 0 15 Nov 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 29 7 0 15 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 37 3 0 14 Nov 2022
Algorithmic Bias in Machine Learning Based Delirium Prediction Sandhya Tripathi Bradley A. Fritz M. Avidan Yixin Chen C. King 16 2 0 08 Nov 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 25 9 0 03 Nov 2022
Fairness in Federated Learning via Core-Stability Bhaskar Chaudhury Linyi Li Mintong Kang Yue Liu R. Mehta FedML 28 29 0 03 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 48 17 0 30 Oct 2022
Differential Privacy has Bounded Impact on Fairness in Classification Paul Mangold Michaël Perrot A. Bellet Marc Tommasi 41 17 0 28 Oct 2022
Systematic Evaluation of Predictive Fairness Xudong Han Aili Shen Trevor Cohn Timothy Baldwin Lea Frermann 32 7 0 17 Oct 2022