Sarah Mameche

PhD Student
Exploratory Data Analysis
CISPA Helmholtz Center for Information Security
CISPA D2, Room 0.03
Im Oberem Werk 1
66386 St. Ingbert, Germany
sarah.mameche@cispa.de
personal webpage

Sarah Mameche is a PhD student who is interested in exploratory causal analysis, such as discovering of invariant causal mechanisms from data.

Sarah did both her Bachelor's and Master's degree in Computer Science at Saarland University. She joined the EDA group in 2020 to write her Master's thesis with us on the topic of discovering invariant causal mechanisms between different environments, such as between the populations analyzed by different hospitals.

Publications

2025
Mameche, S, Cornanguer, L, Ninad, U & Vreeken, J SpaceTime: Causal Discovery from Non-Stationary Time Series. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), AAAI, 2025. (23,4% acceptance rate)project website
Xu, S, Mameche, S & Vreeken, J Information-Theoretic Causal Discovery in Topological Order. In: Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, 2025. (31.3% acceptance rate)

2024
Mameche, S, Vreeken, J & Kaltenpoth, D Identifying Confounding from Causal Mechanism Shifts. In: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, 2024. (27.6% acceptance rate)project website
Mian, O, Mameche, S & Vreeken, J Learning Causal Networks from Episodic Data. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), ACM, 2024. (20% acceptance rate)project website
Mian, O & Mameche, S An Information Theoretic Framework for Continual Learning of Causal Networks. In: Proceedings of the AAAI 2024 Continual Causality Bridge Program, PMLR, 2024.project website

2023
Mameche, S, Kaltenpoth, D & Vreeken, J Learning Causal Models under Independent Changes. In: Proceedings of Neural Information Processing Systems (NeurIPS), PMRL, 2023. (26.1% acceptance rate)project website

2022
Mameche, S, Kaltenpoth, D & Vreeken, J Discovering Invariant and Changing Mechanisms from Data. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp 1242-1252, ACM, 2022. (15.0% acceptance rate)

2021

Mameche, S Causal Inference from Different Contexts using Algorithmic Causal Models. M.Sc. Thesis, Saarland University, 2021.