Schweisthal, Jonas

9 publications

NeurIPS 2025 Conformal Prediction for Causal Effects of Continuous Treatments Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel

ICLR 2025 Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel

NeurIPS 2025 LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding Yuchen Ma, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel

ICML 2025 Learning Representations of Instruments for Partial Identification of Treatment Effects Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel

ICLRW 2025 Learning Representations of Instruments for Partial Identification of Treatment Effects Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel

NeurIPS 2025 Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Mihaela van der Schaar, Stefan Feuerriegel

NeurIPS 2024 DiffPO: A Causal Diffusion Model for Learning Distributions of Potential Outcomes Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel

ICML 2024 Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments Jonas Schweisthal, Dennis Frauen, Mihaela Van Der Schaar, Stefan Feuerriegel

NeurIPS 2023 Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel