Jonas Schweisthal

According to our database, Jonas Schweisthal authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Learning Representations of Instruments for Partial Identification of Treatment Effects.

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

CoRR, 2024

DiffPO: A causal diffusion model for learning distributions of potential outcomes.

Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel

CoRR, 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

Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments.

Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Reliable Off-Policy Learning for Dosage Combinations.

Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision.

Emilio Dorigatti, Jonas Schweisthal, Bernd Bischl, Mina Rezaei

CoRR, 2022