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Conference and Workshop Papers
- 2024
[c1]Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR 2024
Informal and Other Publications
- 2024
- [i7]Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR abs/2405.21012 (2024) - [i6]Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel:
Conformal Prediction for Causal Effects of Continuous Treatments. CoRR abs/2407.03094 (2024) - [i5]Dennis Frauen, Konstantin Hess, Stefan Feuerriegel:
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. CoRR abs/2407.05287 (2024) - [i4]Konstantin Hess, Stefan Feuerriegel:
Stabilized Neural Prediction of Potential Outcomes in Continuous Time. CoRR abs/2410.03514 (2024) - [i3]Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar:
Causal machine learning for predicting treatment outcomes. CoRR abs/2410.08770 (2024) - [i2]Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel:
Learning Representations of Instruments for Partial Identification of Treatment Effects. CoRR abs/2410.08976 (2024) - 2023
- [i1]Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR abs/2310.17463 (2023)
Coauthor Index
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