Saarland Informatics Campus
Building E1 1
Email: rateike [at] cs.uni-saarland.de
Hello! I am Miriam Rateike (she/her). I am a PhD student at the Max-Planck-Institute for Intelligent Systems, Tübingen, and at the Graduate School of Computer Science of the University of Saarland (UdS). I am advised by Prof. Isabel Valera. In my research I focus on creating algorithms for fair decision making under realistic assumptions. I am particularly interested in the intersection of causality and fairness. In my free time I support TReND in Africa and am an active member of Femtec Alumnae e.V..
22/06 | I will be attending the FAccT-22 conference to present our recent paper in Seoul !
22/03 | Presentation Kausalität in der KI-Forschung – von Ursache und Wirkung at FTALive-22 conference | Presenter
21/12 | NeurIPS-21 workshop on Algorithmic Fairness through the Lens of Causality and Robustness | Co-organizer
21/10 | Panel discussion Fairness and discrimination in machine learning – possibilities and limits of artificial intelligence organized by University of Passau in cooperation with Femtec Alumnae e.V.. | Panelist
21/08 | OxML Summer School | Participant
21/07 | TReND Python Workshop for beginners | Co-organzier
21/07 | ELLIS Workshop on CausethicalML | Co-organizer
21/03 | Presentation Wenn der Algorithmus dich nicht für fähig hält – Ein Einblick in diskriminierende Algorithmen und fair AI at FTALive conference | Presenter
20/12 | NeurIPS-20 WiML Workshop | Poster presentation
SS 21 | Machine Learning
WS 19/21 | Elements of Machine Learning
VACA: Designing Variational Graph Autoencoders for Causal Queries Proceedings Article
In: Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pp. 8159–8168, AAAI Press, 2022.
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Proceedings Article
In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022, pp. 1421–1433, ACM, 2022.
Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021 Proceedings Article
In: Schrouff, Jessica; Dieng, Awa; Rateike, Miriam; Kwegyir-Aggrey, Kweku; Farnadi, Golnoosh (Ed.): Algorithmic Fairness through the Lens of Causality and Robustness Workshop, AFCR 2021, virtual, December 13, 2021, pp. 1–5, PMLR, 2021.