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Konstantin Hess
Konstantin Hess
Institute of AI in Management, LMU Munich School of Management
Verified email at lmu.de - Homepage
Title
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Cited by
Year
Causal machine learning for predicting treatment outcomes
S Feuerriegel, D Frauen, V Melnychuk, J Schweisthal, K Hess, A Curth, ...
Nature Medicine 30 (4), 958-968, 2024
1102024
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
K Hess, V Melnychuk, D Frauen, S Feuerriegel
International Conference on Learning Representations (ICLR), 2024
162024
Conformal Prediction for Causal Effects of Continuous Treatments
M Schröder, D Frauen, J Schweisthal, K Heß, V Melnychuk, S Feuerriegel
arXiv preprint arXiv:2407.03094, 2024
42024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
D Frauen, K Hess, S Feuerriegel
International Conference on Learning Representations (ICLR), 2025
32025
G-Transformer for Conditional Average Potential Outcome Estimation over Time
K Hess, D Frauen, V Melnychuk, S Feuerriegel
arXiv preprint arXiv:2405.21012, 2024
22024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
K Hess, S Feuerriegel
International Conference on Learning Representations (ICLR), 2025
12025
Efficient and Sharp Off-Policy Learning under Unobserved Confounding
K Hess, D Frauen, V Melnychuk, S Feuerriegel
arXiv preprint arXiv:2502.13022, 2025
2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
Y Wang, M Schröder, D Frauen, J Schweisthal, K Hess, S Feuerriegel
International Conference on Learning Representations (ICLR), 2025
2025
Learning Representations of Instruments for Partial Identification of Treatment Effects
J Schweisthal, D Frauen, M Schröder, K Hess, N Kilbertus, S Feuerriegel
arXiv preprint arXiv:2410.08976, 2024
2024
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