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Proceedings of Machine Learning Research

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Proceedings of Machine Learning Research
PMLR · 2026-05-29 · via Proceedings of Machine Learning Research

[edit]

Volume 279: Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 14 December 2024, Vancouver Convention Center, Vancouver, Canada

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Editors: Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi

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Filter Authors: Filter Titles:

Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME) 2024

; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:1-7

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From Models to Systems: A Comprehensive Framework for AI System Fairness in Compositional Recommender Systems

Brian Hsu, Cyrus DiCiccio, Natesh S. Pillai, Hongseok Namkoong; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:8-37

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Better Bias Benchmarking of Language Models via Multi-factor Analysis

Hannah Powers, Ioana Baldini, Dennis Wei, Kristin P. Bennett; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:38-67

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The Intersectionality Problem for Algorithmic Fairness

Johannes Himmelreich, Arbie Hsu, Ellen Veomett, Kristian Lum; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:68-95

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Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML

Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:96-118

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Improving Bias Metrics in Vision-Language Models by Addressing Inherent Model Disabilities

Lakshmipathi Balaji Darur, Shanmukha Sai Keerthi Gouravarapu, Shashwat Goel, Ponnurangam Kumaraguru; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:119-132

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Multilingual Hallucination Gaps

Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:133-155

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Fairness-Enhancing Data Augmentation Methods for Worst-Group Accuracy

Monica Welfert, Nathan Stromberg, Lalitha Sankar; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:156-172

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Privacy-Preserving Group Fairness in Cross-Device Federated Learning

Sikha Pentyala, Nicola Neophytou, Anderson Nascimento, Martine De Cock, Golnoosh Farnadi; Proceedings of the Algorithmic Fairness Through the Lens of Metrics and Evaluation, PMLR 279:173-198

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