Published papers:
J. de Aguas, L. Henckel, J. Pensar, G. Biele.
Causal inference amid missingness-specific independencies and mechanism shifts.
Conference on Uncertainty in Artificial Intelligence (UAI), accepted.
M. Drton, L. Henckel, B. Hollering, P. Misra. Faithlessness in Gaussian graphical models. Bernoulli, accepted. arxiv
L. Henckel, T. Wurtzen, S. Weichwald Adjustment identification distance: A gadjid for causal structure learning. Conference on Uncertainty in Artificial Intelligence (UAI), 244:1569-1598, 2024. link code
L. Henckel, M. Buttenschon, M. H. Maathuis Graphical tools for selecting conditional instrumental sets. Biometrika, 771-788, 2024. link code
Z. Su, L. Henckel. A robustness test for estimating total effects with covariate adjustments. Conference on Uncertainty in Artificial Intelligence (UAI), 180:1886-1895, 2022. link code
S. Saengkyongam, L. Henckel, N. Pfister, J. Peters. Exploiting independent instruments: Identification and distribution generalization. International Conference on Machine Learning (ICML), PMLR 162:18935-18958, 2022. link code
L. Henckel, E. Perkovi'c, M. H. Maathuis. Graphical criteria for efficient total effect estimation via adjustment in causal linear models. Journal of the Royal Statistical Society: Series B, 84:579-599, 2022. link code
J. Witte, L. Henckel, M. H. Maathuis, V. Didelez. On efficient adjustment in causal graphs. Journal of Machine Learning Research, 21(246):1-45, 2020. link
Working papers:
M. L. Spohn, L. Henckel, M. H. Maathuis.
A Graphical approach to treatment effect estimation with observational network data.
arxiv
B. Stucky , L. Henckel, M.H. Maathuis, C. Hirotsu, J. Haba-Rubio, P. Marques-Vidal, F. Siclari, R. Heinzer, and H.-P. Landolt. Community-based causal evidence that high habitual caffeine consumption alters distinct polysomnography-derived sleep. medrxiv code
D. Hangartner, M. Marbach, L. Henckel, M. H. Maathuis, L. Keele. Profiling compliers in instrumental variable designs. arxiv code
Software:
Author of the toolbox CIfly
Author for the Python-package gadjid
Contributing author to the R-package pcalg
Thesis:
Graphical Tools for Efficient Causal Effect Estimation ETH research collection