Sven Klaassen

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal explanations of outliers in systems with lagged time-dependencies.
CoRR
Philipp Schwarz, Johannes Oberpriller, Sven Klaassen
2025 J jnl
Adventures in Demand Analysis Using AI.
CoRR
Philipp Bach, Victor Chernozhukov, Sven Klaassen, Martin Spindler, Jan Teichert-Kluge, Suhas Vijaykumar
2025 J jnl
Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score Based Estimators.
CoRR
Jan Rabenseifner, Sven Klaassen, Jannis Kueck, Philipp Bach
2025 J jnl
Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing.
CoRR
Philipp Schwarz, Oliver Schacht, Sven Klaassen, Johannes Oberpriller, Martin Spindler
2024 J jnl
DoubleML: An Object-Oriented Implementation of Double Machine Learning in
J. Stat. Softw.
Philipp Bach, Malte S. Kurz, Victor Chernozhukov, Martin Spindler, Sven Klaassen
2024 J jnl
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data.
CoRR
Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar
2024 — conf
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study.
CLeaR
Philipp Bach, Oliver Schacht, Victor Chernozhukov, Sven Klaassen, Martin Spindler
2024 J jnl
Management Decisions in Manufacturing using Causal Machine Learning - To Rework, or not to Rework?
CoRR
Philipp Schwarz, Oliver Schacht, Sven Klaassen, Daniel Grünbaum, Sebastian Imhof, Martin Spindler
2023 — conf
Causally Learning an Optimal Rework Policy.
CDPD
Oliver Schacht, Sven Klaassen, Philipp Schwarz, Martin Spindler, Daniel Grünbaum, Sebastian Imhof
2023 J jnl
Causally Learning an Optimal Rework Policy.
CoRR
Oliver Schacht, Sven Klaassen, Philipp Schwarz, Martin Spindler, Daniel Grünbaum, Sebastian Imhof
2018 J jnl
Uniform Inference in High-Dimensional Gaussian Graphical Models.
CoRR
Sven Klaassen, Jannis Kück, Martin Spindler