Proceedings of Machine Learning Research | Proceedings of the Workshop on Algorithmic Fairness through the Lens of Causality and Privacy Held in New Orleans Ernest N. Morial Convention Center, New Orleans, United States of America, hybrid on 03 December 2022 Published as Volume 214 by the Proceedings of Machine Learning Research on 04 June 2023. Volume Edited by: Awa Dieng Miriam Rateike Golnoosh Farnadi Ferdinando Fioretto Matt Kusner Jessica Schrouff Series Editors: Neil D. Lawrence
[Workshop on Algorithmic Fairness through the Lens of Causality and Privacy Logo] Proceedings of Machine Learning Research

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Volume 214: Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, 03 December 2022, New Orleans Ernest N. Morial Convention Center, New Orleans, United States of America, hybrid

[edit]

Editors: Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt Kusner, Jessica Schrouff

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Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022

Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt Kusner, Jessica Schrouff; Proceedings of the Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, PMLR 214:1-6

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Causal Discovery for Fairness

Rūta Binkytė, Karima Makhlouf, Carlos Pinzón, Sami Zhioua, Catuscia Palamidessi; Proceedings of the Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, PMLR 214:7-22

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Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach

Rina Friedberg, Ryan Rogers; Proceedings of the Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, PMLR 214:23-66

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“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning

Marc Juarez, Aleksandra Korolova; Proceedings of the Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, PMLR 214:67-85

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Stochastic Differentially Private and Fair Learning

Andrew Lowy, Devansh Gupta, Meisam Razaviyayn; Proceedings of the Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, PMLR 214:86-119

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