| 2024 | KDD | Causal Machine Learning for Cost-Effective Allocation of Development Aid. | Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel |
| 2023 | AAAI | Estimating Average Causal Effects from Patient Trajectories. | Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel |
| 2023 | AISTATS | Estimating Conditional Average Treatment Effects with Missing Treatment Information. | Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel |
| 2022 | ICML | Interpretable Off-Policy Learning via Hyperbox Search. | Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel |
| 2022 | WWW | A Deep Markov Model for Clickstream Analytics in Online Shopping. | Yilmazcan zyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel |
| 2022 | UAI | Generalizing off-policy learning under sample selection bias. | Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel |
| 2021 | CIKM | Estimating Average Treatment Effects via Orthogonal Regularization. | Tobias Hatt, Stefan Feuerriegel |
| 2021 | KDD | AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. | Yilmazcan zyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel |
| 2020 | WWW | Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model. | Tobias Hatt, Stefan Feuerriegel |