| VACA: Designing Variational Graph Autoencoders for Causal Queries P Sánchez-Martın, M Rateike, I Valera Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8159-8168, 2022 | 31* | 2022 |
| Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making M Rateike, A Majumdar, O Mineeva, KP Gummadi, I Valera 2022 ACM Conference on Fairness, Accountability, and Transparency, 1421-1433, 2022 | 11 | 2022 |
| Weakly Supervised Detection of Hallucinations in LLM Activations M Rateike, C Cintas, J Wamburu, T Akumu, S Speakman Accepted at Workshop on Socially Responsible Language Modelling Research at …, 2023 | 4 | 2023 |
| Designing Long-term Group Fair Policies in Dynamical Systems M Rateike, I Valera, P Forré Accepted at Workshop on Algorithmic Fairness Through the Lens of Time at …, 2023 | 1 | 2023 |
| Diskriminierung im Maschinellen Lernen - Ein kurzer Einblick aus der Perspektive der Informatik M Rateike Digital | recht Schriften zum Immaterialgüter-, IT-, Medien-, Daten- und …, 2023 | | 2023 |
| Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022 A Dieng, M Rateike, G Farnadi, F Fioretto, M Kusner, J Schrouff Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, 1-6, 2023 | | 2023 |
| Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021 J Schrouff, A Dieng, M Rateike, K Kwegyir-Aggrey, G Farnadi Algorithmic Fairness through the Lens of Causality and Robustness workshop, 1-5, 2022 | | 2022 |
Isabel ValeraSaarland University and Max Planck Institute for Software Systems在 cs.uni-saarland.de 的电子邮件经过验证
