Dominik Rothenhäusler

According to our database, Dominik Rothenhäusler authored at least 6 papers between 2015 and 2024.

Collaborative distances:

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

2024

Learning Under Random Distributional Shifts.

Kirk C. Bansak, Elisabeth Paulson, Dominik Rothenhäusler

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Modular Regression: Improving Linear Models by Incorporating Auxiliary Data.

Ying Jin, Dominik Rothenhäusler

J. Mach. Learn. Res., 2023

Random Distribution Shift in Refugee Placement: Strategies for Building Robust Models.

Kirk Bansak, Elisabeth Paulson, Dominik Rothenhäusler

CoRR, 2023

The s-value: evaluating stability with respect to distributional shifts.

Suyash Gupta, Dominik Rothenhäusler

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Causal Aggregation: Estimation and Inference of Causal Effects by Constraint-Based Data Fusion.

Jaime Roquero Gimenez, Dominik Rothenhäusler

J. Mach. Learn. Res., 2022

2015

BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions.

Dominik Rothenhäusler, Christina Heinze, Jonas Peters, Nicolai Meinshausen

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015