Konstantin Hess

According to our database, Konstantin Hess authored at least 14 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Debiased neural operators for estimating functionals.

Konstantin Hess, Dennis Frauen, Niki Kilbertus, Stefan Feuerriegel

CoRR, April, 2026

Targeted Synthetic Control Method.

Yuxin Wang, Dennis Frauen, Emil Javurek, Konstantin Hess, Yuchen Ma, Stefan Feuerriegel

CoRR, February, 2026

2025

Overlap-weighted orthogonal meta-learner for treatment effect estimation over time.

Konstantin Hess, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel

CoRR, October, 2025

An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes.

Emil Javurek, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Dennis Frauen, Stefan Feuerriegel

CoRR, September, 2025

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data.

Dennis Frauen, Maresa Schröder, Konstantin Hess, Stefan Feuerriegel

CoRR, May, 2025

Efficient and Sharp Off-Policy Learning under Unobserved Confounding.

Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

CoRR, February, 2025

Learning Representations of Instruments for Partial Identification of Treatment Effects.

Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets.

Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Stabilized Neural Prediction of Potential Outcomes in Continuous Time.

Konstantin Hess, Stefan Feuerriegel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Model-agnostic meta-learners for estimating heterogeneous treatment effects over time.

Dennis Frauen, Konstantin Hess, Stefan Feuerriegel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Causal machine learning for predicting treatment outcomes.

Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar

CoRR, 2024

Conformal Prediction for Causal Effects of Continuous Treatments.

Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel

CoRR, 2024

G-Transformer for Conditional Average Potential Outcome Estimation over Time.

Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

CoRR, 2024

Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.

Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel

Proceedings of the Twelfth International Conference on Learning Representations, 2024