Scholar
Dominik Rothenhäusler
Google Scholar ID: 8vdua9wAAAAJ
Stanford University
Causal inference
distributional robustness
replicability
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Citations & Impact
All-time
Citations
635
H-index
12
i10-index
14
Publications
20
Co-authors
7
list available
Contact
GitHub
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Publications
2 items
CTRL Your Shift: Clustered Transfer Residual Learning for Many Small Datasets
2025
Cited
0
Optimal Empirical Risk Minimization under Temporal Distribution Shifts
2025
Cited
0
Resume (English only)
Academic Achievements
Paper accepted at JMLR: modular framework for statistical inference in linear models
Paper accepted at NeurIPS 2023: stability of statistical models under distribution shift
Paper accepted at Biometrika: targeted inference for a fixed set of units improves precision by over 50%
Paper accepted at Biometrika: justification of randomization inference after Mahalanobis matching
Paper accepted at JMLR: integration of causal evidence from multiple sources
Developed diagnostic tools (R-package, Shiny app) to assess the role of observed distribution shifts in replication studies
Proposed methods for out-of-distribution generalization under random, dense distribution shifts
Co-authors
7 total
Peter Bühlmann
Professor of Statistics and Mathematics, ETH Zurich
Nicolai Meinshausen
Professor of Statistics, ETH Zurich
Jonas Peters
Professor of Statistics, ETH Zurich
Co-author 4
Christina Heinze-Deml
Apple AI/ML Research
Bin YU
Professor of Statistics and EECS, UC Berkeley
Co-author 7
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