Talks

Frauen, D. (2025). Treatment effect estimation for optimal decision-making. King Abdullah University of Science and Technology (KAUST). Thuwal, Saudi Arabia.

Frauen, D., Schweisthal, J. (2025). Tutorial on Causal Machine Learning. Department of Applied Mathematics and Theoretical Physics, University of Cambridge. Cambridge, UK.

Frauen, D. (2024). Causal Machine Learning Beyond Traditional Assumptions. Cologne Institute for Information Systems. Cologne, Germany. Slides

Frauen, D. (2024). Introduction to Causal Machine Learning. Decision Neuroscience Lab ETH Zurich. Zurich, Switzerland. Slides

Frauen, D. (2024). Causal Machine Learning Beyond Traditional Assumptions. University of Würzburg. Würzburg, Germany. Slides

Frauen, D. & Schweisthal, J (2024). Bounding causal effects using multiple observational datasets. Second Munich Workshop on Causal Machine Learning. Munich, Germany Slides

Frauen, D. (2023). Causal Sensitivity Analysis. Microsoft Research Cambridge. Cambridge, UK. Slides

Maarouf, A, Frauen, D. & Feuerriegel, S. (2023). Causal Machine Learningfor Management Decision‑Making. Ladenburger Diskurs. Ladenburg, Germany. Slides

Frauen, D. (2023). Estimating Average Causal Effects from Patient Trajectories. AAAI. Washington D.C., USA. Slides

Frauen, D. (2022). Fair Off-Policy Learning from Observational Data. Causal Data Science Meeting. Online. Slides