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Leonard Henckel
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Year
Graphical criteria for efficient total effect estimation via adjustment in causal linear models
L Henckel, E Perković, MH Maathuis
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022
1412022
On efficient adjustment in causal graphs
J Witte, L Henckel, MH Maathuis, V Didelez
Journal of Machine Learning Research 21, 246, 2020
942020
Exploiting independent instruments: Identification and distribution generalization
S Saengkyongam, L Henckel, N Pfister, J Peters
International Conference on Machine Learning, 18935-18958, 2022
252022
Adjustment Identification Distance: A gadjid for Causal Structure Learning
L Henckel, T Würtzen, S Weichwald
Uncertainty in Artificial Intelligence, 1569-1598, 2024
212024
pcalg: Methods for graphical models and causal inference
M Kalisch, A Hauser, M Maechler, D Colombo, D Entner, P Hoyer, ...
R Package retrieved from https://CRAN. R-project. org/package= pcalg, 2021
15*2021
Graphical tools for selecting conditional instrumental sets
L Henckel, M Buttenschoen, MH Maathuis
Biometrika 111 (3), 771-788, 2024
132024
Graphical Tools for Efficient Causal Effect Estimation
L Henckel
ETH Zurich, 2021
42021
A robustness test for estimating total effects with covariate adjustment
Z Su, L Henckel
Uncertainty in Artificial Intelligence, 1886-1895, 2022
32022
Profiling Compliers in Instrumental Variables Designs
D Hangartner, M Marbach, L Henckel, MH Maathuis, RR Kelz, L Keele
arXiv preprint arXiv:2103.06328, 2021
32021
A graphical approach to treatment effect estimation with observational network data
ML Spohn, L Henckel, MH Maathuis
arXiv preprint arXiv:2312.02717, 2023
22023
Community-based causal evidence that high habitual caffeine consumption alters distinct polysomnography-derived sleep variables
B Stucky, L Henckel, MH Maathuis, J Haba-Rubio, P Marques-Vidal, ...
Journal of Psychopharmacology, 02698811251368364, 2024
12024
Faithlessness in Gaussian graphical models
M Drton, L Henckel, B Hollering, P Misra
Bernoulli 32 (1), 638-663, 2026
2026
Model-oriented Graph Distances via Partially Ordered Sets
A Taeb, FR Guo, L Henckel
arXiv preprint arXiv:2511.10625, 2025
2025
Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning
M Wienöbst, L Henckel, S Weichwald
arXiv preprint arXiv:2510.04970, 2025
2025
Linear-Time Primitives for Algorithm Development in Graphical Causal Inference
M Wienöbst, S Weichwald, L Henckel
arXiv preprint arXiv:2506.15758, 2025
2025
Causal inference amid missingness-specific independencies and mechanism shifts
J de Aguas, L Henckel, J Pensar, G Biele
arXiv preprint arXiv:2506.15441, 2025
2025
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Articles 1–16