Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision. - Emilio Dorigatti; Jonas Schweisthal; Bernd Bischl; Mina Rezaei (CoRR, 2022)

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

Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. - Jonas Schweisthal; Dennis Frauen; Mihaela van der Schaar; Stefan Feuerriegel (ICML, 2024)

DiffPO: A causal diffusion model for learning distributions of potential outcomes. - Yuchen Ma 005; Valentyn Melnychuk; Jonas Schweisthal; Stefan Feuerriegel (NeurIPS, 2024)

Conformal Prediction for Causal Effects of Continuous Treatments. - Maresa Schröder; Dennis Frauen; Jonas Schweisthal; Konstantin Hess; Valentyn Melnychuk; 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)

Learning Representations of Instruments for Partial Identification of Treatment Effects. - Jonas Schweisthal; Dennis Frauen; Maresa Schröder; Konstantin Hess; Niki Kilbertus; Stefan Feuerriegel (CoRR, 2024)

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

Orthogonal Representation Learning for Estimating Causal Quantities. - Valentyn Melnychuk; Dennis Frauen; Jonas Schweisthal; Stefan Feuerriegel (CoRR, 2025)

Treatment Effect Estimation for Optimal Decision-Making. - Dennis Frauen; Valentyn Melnychuk; Jonas Schweisthal; Mihaela van der Schaar; Stefan Feuerriegel (CoRR, 2025)

Algorithms for reliable decision-making need causal reasoning. - Christoph Kern 001; Unai Fischer Abaigar; Jonas Schweisthal; Dennis Frauen; Rayid Ghani; Stefan Feuerriegel; Mihaela van der Schaar; Frauke Kreuter (Nat. Comput. Sci., 2025)

A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments. - Yuchen Ma 005; Jonas Schweisthal; Hengrui Zhang; Stefan Feuerriegel (CoRR, 2025)

LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding. - Yuchen Ma 005; Dennis Frauen; Jonas Schweisthal; Stefan Feuerriegel (CoRR, 2025)