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AFCR 2021: virtual
- Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi:
Algorithmic Fairness through the Lens of Causality and Robustness Workshop, AFCR 2021, virtual, December 13, 2021. Proceedings of Machine Learning Research 171, PMLR 2021 - Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi:
Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. 1-5 - Subhabrata Majumdar, Cheryl J. Flynn, Ritwik Mitra:
Detecting Bias in the Presence of Spatial Autocorrelation. 6-18 - Anshuman Chhabra, Adish Singla, Prasant Mohapatra:
Fair Clustering Using Antidote Data. 19-39 - Aparna R. Joshi, Xavier Suau Cuadros, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff:
Fair SA: Sensitivity Analysis for Fairness in Face Recognition. 40-58 - Nikola Konstantinov, Christoph H. Lampert:
On the Impossibility of Fairness-Aware Learning from Corrupted Data. 59-83
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