Dr. Sven Klaaßen

Research Interests

• Machine Learning
• Causal Inference
• Deep Learning
• Inference in High-Dimensional Settings

Curriculum Vitae (available here)

Publications

Bach, P., Chernozhukov, V., Klaassen, S., Kurz, M., Spindler, M. (2024):
DoubleML – An Object-Oriented Implementation of Double Machine Learning in R (https://doi.org/10.18637/jss.v108.i03).
Journal of Statistical Software, 108 (3), 1-56.

Schacht, O., Klaassen, S., Schwarz, S., Spindler, M., Grünbaum, D., Imhof, S., (2023):
Causally learning an optimal rework policy (https://proceedings.mlr.press/v218/schacht23a.html).
Proceedings of Machine Learning Research 218, 3-24.

 Klaassen, S., Kueck, J., Spindler, M., Chernozhukov, V. (2023):
Uniform Inference in High-Dimensional Gaussian Graphical Models (https://doi.org/10.1093/biomet/asac030).
Biometrika 110 (1), 51-68.

 Klaassen, S., Kueck, J., Spindler, M. (2022):
Transformation Models in High-Dimensions (https://www.tandfonline.com/doi/full/10.1080/07350015.2021.1906259).
Journal of Business & Economic Statistics 40 (3), 1168-1178.

 Farbmacher, H., Guber, R., Klaassen, S. (2022):
Instrument Validity Tests with Causal Forests (https://www.tandfonline.com/doi/full/10.1080/07350015.2020.1847122).
Journal of Business & Economic Statistics 40 (2), 605-614.

Klaassen, S., 2020. Essays on Valid Inference in High-dimensions, Dissertation

Working Papers

Bach, P., Klaassen, S., Kueck, J., Spindler, M. (2023):
Uniform Inference in High-Dimensional Additive Models (https://doi.org/10.48550/arXiv.2004.01623).

Klaassen, S. (2021):
A Note on High-Dimensional Confidence Regions (https://doi.org/10.48550/arXiv.2105.09028).

Klaassen, S., Teichert-Kluge, J., Bach, P., Chernozhukov, V., Spindler, M., Vijaykumar, S. (2024):
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data (https://doi.org/10.48550/arXiv.2402.01785).

Bach, P., Schacht, O., Chernozhukov, V., Klaassen, S., Spindler, M. (2024):
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study (https://doi.org/10.48550/arXiv.2402.04674).

Work in Progress

Estimation of Price Elasticities with Text and Images

 Estimation of Treatment Effects with Multimodal Data under unobserved confounding

 When to calibrate your propensity score

 Sensitivity Analysis for Difference-in-Differences Estimators

 L1-Boosting: Rate of Convergence

Adaptive Discrete Smoothing for (High-Dimensional and Nonlinear) Panel Data

Causal Rework Policy Estimation

Education