Sven Klaassen

According to our database, Sven Klaassen authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Causal explanations of outliers in systems with lagged time-dependencies.

Philipp Schwarz, Johannes Oberpriller, Sven Klaassen

CoRR, February, 2026

2025

Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing.

Philipp Schwarz, Oliver Schacht, Sven Klaassen, Johannes Oberpriller, Martin Spindler

CoRR, August, 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, March, 2025

Adventures in Demand Analysis Using AI.

Philipp Bach, Victor Chernozhukov, Sven Klaassen, Martin Spindler, Jan Teichert-Kluge, Suhas Vijaykumar

CoRR, January, 2025

2024

DoubleML: An Object-Oriented Implementation of Double Machine Learning in <i>R</i>.

Philipp Bach, Malte S. Kurz, Victor Chernozhukov, Martin Spindler, Sven Klaassen

J. Stat. Softw., 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

DoubleMLDeep: Estimation of Causal Effects with Multimodal Data.

Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar

CoRR, 2024

Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study.

Philipp Bach, Oliver Schacht, Victor Chernozhukov, Sven Klaassen, Martin Spindler

Proceedings of the Causal Learning and Reasoning, 2024

2023

Causally Learning an Optimal Rework Policy.

Oliver Schacht, Sven Klaassen, Philipp Schwarz, Martin Spindler, Daniel Grünbaum, Sebastian Imhof

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

2018

Uniform Inference in High-Dimensional Gaussian Graphical Models.

Sven Klaassen, Jannis Kück, Martin Spindler

CoRR, 2018