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Elisabeth Ailer
Elisabeth Ailer
PhD candidate, Helmholtz AI
Verified email at helmholtz-muenchen.de
Title
Cited by
Cited by
Year
Supervised learning and model analysis with compositional data
S Huang, E Ailer, N Kilbertus, N Pfister
PLOS Computational Biology 19 (6), e1011240, 2023
92023
A causal view on compositional data
E Ailer, CL Müller, N Kilbertus
arXiv preprint arXiv:2106.11234 1 (2), 2021
72021
Sequential underspecified instrument selection for cause-effect estimation
E Ailer, J Hartford, N Kilbertus
International Conference on Machine Learning, 408-420, 2023
62023
Instrumental variable estimation for compositional treatments
E Ailer, CL Müller, N Kilbertus
Scientific Reports 15 (1), 5158, 2025
12025
Targeted sequential indirect experiment design
E Ailer, N Dern, JS Hartford, N Kilbertus
Advances in Neural Information Processing Systems 37, 122029-122053, 2024
12024
Value-at-Risk Decomposition and Sensitivies
E Ailer
2016
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Articles 1–6