Fair Classification and Social Welfare

1 May 2019

Papers citing "Fair Classification and Social Welfare"

44 / 44 papers shown

Title
Machine Learning Should Maximize Welfare, Not (Only) Accuracy Nir Rosenfeld Haifeng Xu HAI FaML 78 2 0 17 Feb 2025
Fair Clustering: Critique, Caveats, and Future Directions John Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 52 1 0 22 Jun 2024
Assessing Group Fairness with Social Welfare Optimization V. Chen J. N. Hooker Derek Leben 30 0 0 19 May 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias Sierra Wyllie Ilia Shumailov Nicolas Papernot 48 25 0 12 Mar 2024
Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities Luyang Hou Jun Yan Yuankai Wu Chun Wang Tie Qiu 24 0 0 28 Feb 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency Parian Haghighat Denisa Gándara Lulu Kang Hadis Anahideh 27 0 0 23 Feb 2024
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier Hua Tang Lu Cheng Ninghao Liu Mengnan Du FaML 27 1 0 19 Oct 2023
Interventions Against Machine-Assisted Statistical Discrimination John Y. Zhu 34 0 0 06 Oct 2023
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness Neil Menghani E. McFowland Daniel B. Neill 27 0 0 19 Jun 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 42 6 0 13 Jan 2023
Counterfactuals for the Future Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 33 10 0 07 Dec 2022
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
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 48 21 0 05 Oct 2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics Joachim Baumann Corinna Hertweck M. Loi Christoph Heitz 35 10 0 06 Jun 2022
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs Corinna Hertweck Joachim Baumann M. Loi Eleonora Viganò Christoph Heitz FaML 24 4 0 06 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
Addressing Strategic Manipulation Disparities in Fair Classification Vijay Keswani L. E. Celis 30 3 0 22 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 45 78 0 06 May 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 15 29 0 02 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
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables S. Centorrino J. Florens Jean-Michel Loubes FaML 20 1 0 16 Feb 2022
Regulatory Instruments for Fair Personalized Pricing Renzhe Xu Xingxuan Zhang Pengbi Cui Yangqiu Song Zheyan Shen Jiazheng Xu 11 15 0 09 Feb 2022
Two-sided fairness in rankings via Lorenz dominance Virginie Do S. Corbett-Davies Jamal Atif Nicolas Usunier FaML 16 50 0 28 Oct 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 32 94 0 27 Sep 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 34 22 0 27 Aug 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 42 13 0 01 Jul 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning Cyrus Cousins FaML 21 27 0 29 Apr 2021
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing Mohammad Mahdi Kamani R. Forsati Jianmin Wang M. Mahdavi FaML 13 11 0 04 Apr 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
Information Discrepancy in Strategic Learning Yahav Bechavod Chara Podimata Zhiwei Steven Wu Juba Ziani 46 45 0 01 Mar 2021
Everything is Relative: Understanding Fairness with Optimal Transport Kweku Kwegyir-Aggrey Rebecca Santorella Sarah M. Brown OT 16 3 0 20 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 16 24 0 05 Feb 2021
Fairness through Social Welfare Optimization V. Chen J. N. Hooker 24 1 0 30 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
Towards Fair Deep Anomaly Detection Hongjing Zhang Ian Davidson FaML 55 39 0 29 Dec 2020
Fairness, Welfare, and Equity in Personalized Pricing Nathan Kallus Angela Zhou 24 39 0 21 Dec 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 26 56 0 12 Oct 2020
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees Ana Valdivia Javier Sánchez-Monedero J. Casillas FaML 35 46 0 22 Jun 2020
Individual Fairness in Advertising Auctions through Inverse Proportionality Shuchi Chawla Meena Jagadeesan 6 12 0 31 Mar 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf Max Simchowitz Sarah Dean Lydia T. Liu Daniel Björkegren Moritz Hardt J. Blumenstock 8 22 0 15 Mar 2020
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds Nathan Kallus Angela Zhou 27 11 0 04 Jun 2019
Protecting the Protected Group: Circumventing Harmful Fairness Omer Ben-Porat Fedor Sandomirskiy Moshe Tennenholtz FaML 14 17 0 25 May 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016