
Sarah Mameche
/PhD candidate
I am a PhD candidate at CISPA Helmholtz Center for Information Security supervised by Prof. Jilles Vreeken. I am interested in causal machine learning, with focus on addressing various forms of distribution shifts through causality. Example applications that motivate this research are studies over heterogeneous diseases or patient groups, interventional experiments in genomics, or time series data from the environmental sciences.
Publications
- NeurIPS, 2025
Causal Mixture Models: Characterization and Discovery
Sarah MamecheJanis KalofoliasJilles Vreeken - AISTATS, 2025
Information-Theoretic Causal Discovery in Topological Order
Sascha Xu*Sarah Mameche*Jilles Vreeken - AAAI, 2025
SpaceTime: Causal Discovery from Non-Stationary Time Series
Sarah MamecheLénaïg CornanguerUrmi Ninad*Jilles Vreeken* - AISTATS, 2024
Identifying Confounding from Causal Mechanism Shifts
Sarah MamecheJilles VreekenDavid Kaltenpoth - NeurIPS, 2023
Learning Causal Models under Independent Changes
Sarah MamecheDavid KaltenpothJilles Vreeken - KDD, 2022
Discovering Invariant and Changing Mechanisms from Data
Sarah MamecheDavid KaltenpothJilles Vreeken