Gerhardus, Andreas

6 publications

CLeaR 2025 Non-Parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation Oana-Iuliana Popescu, Andreas Gerhardus, Martin Rabel, Jakob Runge

UAI 2024 A Global Markov Property for Solutions of Stochastic Difference Equations and the Corresponding Full Time Graphs Tom Hochsprung, Jakob Runge, Andreas Gerhardus

CLeaR 2024 Bootstrap Aggregation and Confidence Measures to Improve Time Series Causal Discovery Kevin Debeire, Andreas Gerhardus, Jakob Runge, Veronika Eyring

NeurIPS 2024 Causal Discovery with Endogenous Context Variables Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel, Urmi Ninad, Andreas Gerhardus, Jakob Runge

UAI 2023 Increasing Effect Sizes of Pairwise Conditional Independence Tests Between Random Vectors Tom Hochsprung, Jonas Wahl, Andreas Gerhardus, Urmi Ninad, Jakob Runge

NeurIPS 2020 High-Recall Causal Discovery for Autocorrelated Time Series with Latent Confounders Andreas Gerhardus, Jakob Runge