The Frontiers of Fairness in Machine Learning

20 October 2018

Papers citing "The Frontiers of Fairness in Machine Learning"

50 / 82 papers shown

Title
Fairness Perceptions in Regression-based Predictive Models Mukund Telukunta Venkata Sriram Siddhardh Nadendla Morgan Stuart Casey Canfield 43 0 0 08 May 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 98 4 0 13 Mar 2025
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 82 0 0 10 Nov 2024
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 33 0 0 26 Sep 2024
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang Peng Wang Tong Zhou Yushun Dong Zhen Tan Jundong Li CoGe 63 7 0 02 Jul 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 71 3 0 10 Jun 2024
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models Jiahui Wu Vanessa Frias-Martinez 26 0 0 06 Jun 2024
On Fairness of Low-Rank Adaptation of Large Models Zhoujie Ding Ken Ziyu Liu Pura Peetathawatchai Berivan Isik Sanmi Koyejo 50 4 0 27 May 2024
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement Mukund Telukunta Sukruth Rao Gabriella Stickney Venkata Sriram Siddhardh Nadendla Casey Canfield 36 1 0 04 Apr 2024
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness Luca Deck Jan-Laurin Müller Conradin Braun Domenique Zipperling Niklas Kühl FaML 46 5 0 29 Mar 2024
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations Xiang Zhang 37 0 0 24 Mar 2024
Evaluating LLMs for Gender Disparities in Notable Persons L. Rhue Sofie Goethals Arun Sundararajan 52 5 0 14 Mar 2024
On the (In)Compatibility between Group Fairness and Individual Fairness Shizhou Xu Thomas Strohmer FaML 26 2 0 13 Jan 2024
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning Xiang Zhang Qiao Wang 33 3 0 23 Nov 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 51 21 0 03 Sep 2023
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 38 30 0 09 Jul 2023
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness Candice Schumann Gbolahan O. Olanubi Auriel Wright Ellis P. Monk Courtney Heldreth Susanna Ricco 35 21 0 16 May 2023
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems Nicolò Pagan Joachim Baumann Ezzat Elokda Giulia De Pasquale S. Bolognani Anikó Hannák 50 23 0 10 May 2023
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services Tzu-Sheng Kuo Hong Shen Jisoo Geum N. Jones Jason I. Hong Haiyi Zhu Kenneth Holstein 36 59 0 17 Mar 2023
Travel Demand Forecasting: A Fair AI Approach Xiaojian Zhang Qian Ke Xilei Zhao AI4TS 35 3 0 03 Mar 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 26 7 0 06 Feb 2023
Scalable Spectral Clustering with Group Fairness Constraints Ji Wang Ding Lu Ian Davidson Z. Bai 61 16 0 28 Oct 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness Ian Davidson S. S. Ravi FaML 38 1 0 20 Sep 2022
Bugs in Machine Learning-based Systems: A Faultload Benchmark Mohammad Mehdi Morovati Amin Nikanjam Foutse Khomh Zhen Ming Z. Jiang 32 20 0 24 Jun 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier Camille Olivia Little Michael Weylandt Genevera I. Allen 32 13 0 31 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
SoFaiR: Single Shot Fair Representation Learning Xavier Gitiaux Huzefa Rangwala 34 4 0 26 Apr 2022
Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification Xiaolei Huang FaML 21 8 0 12 Apr 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 39 15 0 23 Mar 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers Mukund Telukunta Venkata Sriram Siddhardh Nadendla MLAU FaML 20 0 0 16 Feb 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 33 37 0 06 Feb 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 42 28 0 10 Jan 2022
Survey of Generative Methods for Social Media Analysis Stan Matwin Aristides Milios P. Prałat Amilcar Soares Franccois Théberge 27 3 0 13 Dec 2021
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 49 113 0 07 Dec 2021
Fairness in Missing Data Imputation Yiliang Zhang Q. Long 36 12 0 22 Oct 2021
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees Jean Feng Alexej Gossmann B. Sahiner R. Pirracchio OOD 24 5 0 13 Oct 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials Newsha Emaminejad Reza Akhavian 28 48 0 27 Sep 2021
Deep Exploration for Recommendation Systems Zheqing Zhu Benjamin Van Roy 37 11 0 26 Sep 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 76 48 0 06 Aug 2021
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach Fengjiao Li Jia Liu Bo Ji FedML 30 4 0 25 Jul 2021
Constrained Classification and Policy Learning T. Kitagawa Shosei Sakaguchi A. Tetenov OffRL 37 12 0 24 Jun 2021
Cooperative Multi-Agent Fairness and Equivariant Policies Niko A. Grupen B. Selman Daniel D. Lee FaML 21 11 0 10 Jun 2021
Fair Representations by Compression Xavier Gitiaux Huzefa Rangwala FaML 30 14 0 28 May 2021
Cohort Shapley value for algorithmic fairness Masayoshi Mase Art B. Owen Benjamin B. Seiler 20 14 0 15 May 2021
Improving Fairness in Speaker Recognition Gianni Fenu Giacomo Medda Mirko Marras Giacomo Meloni 21 19 0 29 Apr 2021
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations Marzieh Karimi-Haghighi Carlos Castillo Davinia Hernández Leo Verónica Moreno Oliver FaML 21 6 0 16 Mar 2021
Towards Fair Deep Anomaly Detection Hongjing Zhang Ian Davidson FaML 55 39 0 29 Dec 2020
Learning how to approve updates to machine learning algorithms in non-stationary settings Jean Feng 16 1 0 14 Dec 2020
FairBatch: Batch Selection for Model Fairness Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh VLM 16 128 0 03 Dec 2020