Rothenhäusler, Dominik

5 publications

JMLR 2025 Calibrated Inference: Statistical Inference That Accounts for Both Sampling Uncertainty and Distributional Uncertainty Yujin Jeong, Dominik Rothenhäusler

JMLR 2023 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data Ying Jin, Dominik Rothenhäusler

NeurIPS 2023 The S-Value: Evaluating Stability with Respect to Distributional Shifts Suyash Gupta, Dominik Rothenhäusler

JMLR 2022 Causal Aggregation: Estimation and Inference of Causal Effects by Constraint-Based Data Fusion Jaime Roquero Gimenez, Dominik Rothenhäusler

NeurIPS 2015 BACKSHIFT: Learning Causal Cyclic Graphs from Unknown Shift Interventions Dominik Rothenhäusler, Christina Heinze, Jonas Peters, Nicolai Meinshausen