Dominik Rothenhaüsler
- Anchor regression: heterogeneous data meets causality
2018/01/18 by Dominik Rothenhaüsler, Rothenhäusler, Dominik, Nicolai Meinshausen +5 · 6 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference
- The s-value: evaluating stability with respect to distributional shifts
2021/05/07 by Suyash Gupta, Dominik Rothenhaüsler, Gupta, Suyash +1 · 2 citations
Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Probability and Statistical Research #Statistical Methods and Inference #Statistics Theory (math.ST)
- Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization
2024/12/12 by Ying Jin, Naoki Egami, Jin, Ying +3 · 2 citations
Biochemistry, Genetics and Molecular Biology · #Genetic and phenotypic traits in livestock
- Out-of-Distribution Generalization under Random, Dense Distributional Shifts
2024/04/29 by Yu-Jin Jeong, Jeong, Yujin, Dominik Rothenhaüsler +1 · 2 citations
Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Bayesian Methods and Mixture Models #Probability and Risk Models #Stochastic processes and financial applications
- Calibrated inference: statistical inference that accounts for both sampling uncertainty and distributional uncertainty
2022/02/24 by Yu-Jin Jeong, Dominik Rothenhaüsler, Jeong, Yujin +1 · 1 citation
Arts and Humanities · Computer Science · #Philosophy and History of Science #Explainable Artificial Intelligence (XAI)