Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. - Milan Kuzmanovic; Tobias Hatt; Stefan Feuerriegel (ML4H@NeurIPS, 2021)

Advances in Causal Machine Learning for Health Management. - Milan Kuzmanovic (2022)

Estimating Conditional Average Treatment Effects with Missing Treatment Information. - Milan Kuzmanovic; Tobias Hatt; Stefan Feuerriegel (AISTATS, 2023)

Addressing distributional shifts in operations management: The case of order fulfillment in customized production. - Julian Senoner; Bernhard Kratzwald; Milan Kuzmanovic; Torbjørn H. Netland; Stefan Feuerriegel (CoRR, 2023)

Causal Machine Learning for Cost-Effective Allocation of Development Aid. - Milan Kuzmanovic; Dennis Frauen; Tobias Hatt; Stefan Feuerriegel (KDD, 2024)