Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021

Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi; Proceedings of The Algorithmic Fairness through the Lens of Causality and Robustness, PMLR 171:1-5

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Detecting Bias in the Presence of Spatial Autocorrelation

Subhabrata Majumdar, Cheryl Flynn, Ritwik Mitra; Proceedings of The Algorithmic Fairness through the Lens of Causality and Robustness, PMLR 171:6-18

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Fair Clustering Using Antidote Data

Anshuman Chhabra, Adish Singla, Prasant Mohapatra; Proceedings of The Algorithmic Fairness through the Lens of Causality and Robustness, PMLR 171:19-39

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Fair SA: Sensitivity Analysis for Fairness in Face Recognition

Aparna R. Joshi, Xavier Suau Cuadros, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff; Proceedings of The Algorithmic Fairness through the Lens of Causality and Robustness, PMLR 171:40-58

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On the Impossibility of Fairness-Aware Learning from Corrupted Data

Nikola Konstantinov, Christoph H. Lampert; Proceedings of The Algorithmic Fairness through the Lens of Causality and Robustness, PMLR 171:59-83

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