| 2025 | ICLR | Differentially private learners for heterogeneous treatment effects. | Maresa Schrder, Valentyn Melnychuk, Stefan Feuerriegel |
| 2024 | ICLR | A Neural Framework for Generalized Causal Sensitivity Analysis. | Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar |
| 2024 | ICLR | Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. | Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel |
| 2024 | ICLR | Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. | Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel |
| 2024 | ICML | Fair Off-Policy Learning from Observational Data. | Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel |
| 2023 | AAAI | Estimating Average Causal Effects from Patient Trajectories. | Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel |
| 2023 | ICML | Normalizing Flows for Interventional Density Estimation. | Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel |
| 2022 | ICML | Causal Transformer for Estimating Counterfactual Outcomes. | Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel |
| 2020 | CIKM | Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. | Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl |
| 2020 | ECIR | Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. | Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl |