Dominik Rothenhäusler

According to our database1, Dominik Rothenhäusler authored at least 11 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Robustness of Refugee-Matching Gains to Off-Policy Evaluation Choices.
CoRR, May, 2026

2025
CTRL Your Shift: Clustered Transfer Residual Learning for Many Small Datasets.
CoRR, August, 2025

Optimal Empirical Risk Minimization under Temporal Distribution Shifts.
CoRR, July, 2025

Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty.
J. Mach. Learn. Res., 2025

2024
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization.
CoRR, 2024

Learning Under Random Distributional Shifts.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data.
J. Mach. Learn. Res., 2023

Random Distribution Shift in Refugee Placement: Strategies for Building Robust Models.
CoRR, 2023

The s-value: evaluating stability with respect to distributional shifts.
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.
J. Mach. Learn. Res., 2022

2015
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015


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