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Editors: Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi
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Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021
; 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
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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