Uniform Inference in High-Dimensional Gaussian Graphical Models. - Sven Klaassen; Jannis Kück; Martin Spindler (CoRR, 2018)

Causally Learning an Optimal Rework Policy. - Oliver Schacht; Sven Klaassen; Philipp Schwarz; Martin Spindler; Daniel Grünbaum; Sebastian Imhof (CDPD, 2023)

Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study. - Philipp Bach; Oliver Schacht; Victor Chernozhukov; Sven Klaassen; Martin Spindler (CLeaR, 2024)

DoubleMLDeep: Estimation of Causal Effects with Multimodal Data. - Sven Klaassen; Jan Teichert-Kluge; Philipp Bach; Victor Chernozhukov; Martin Spindler; Suhas Vijaykumar (CoRR, 2024)

Management Decisions in Manufacturing using Causal Machine Learning - To Rework, or not to Rework? - Philipp Schwarz; Oliver Schacht; Sven Klaassen; Daniel Grünbaum; Sebastian Imhof; Martin Spindler (CoRR, 2024)

DoubleML: An Object-Oriented Implementation of Double Machine Learning in R. - Philipp Bach; Malte S. Kurz; Victor Chernozhukov; Martin Spindler; Sven Klaassen (J. Stat. Softw., 2024)

Adventures in Demand Analysis Using AI. - Philipp Bach; Victor Chernozhukov; Sven Klaassen; Martin Spindler; Jan Teichert-Kluge; Suhas Vijaykumar (CoRR, 2025)

Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score Based Estimators. - Jan Rabenseifner; Sven Klaassen; Jannis Kueck; Philipp Bach (CoRR, 2025)