Abstract is missing.
- Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff. 1-6 [doi]
- Causal Discovery for FairnessRuta Binkyte, Karima Makhlouf, Carlos Pinzón, Sami Zhioua, Catuscia Palamidessi. 7-22 [doi]
- Privacy Aware Experimentation over Sensitive Groups: A General Chi Square ApproachRina Friedberg, Ryan Rogers 0002. 23-66 [doi]
- “You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated LearningMarc Juarez, Aleksandra Korolova. 67-85 [doi]
- Stochastic Differentially Private and Fair LearningAndrew Lowy, Devansh Gupta, Meisam Razaviyayn. 86-119 [doi]