| Causal Transformer for Estimating Counterfactual Outcomes V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML), 162, 15293-15329, 2022 | 58 | 2022 |
| Estimating average causal effects from patient trajectories D Frauen, T Hatt, V Melnychuk, S Feuerriegel AAAI Conference on Artificial Intelligence 37 (6), 7586-7594, 2023 | 13 | 2023 |
| Normalizing Flows for Interventional Density Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML), 2023 | 13 | 2023 |
| Estimating individual treatment effects under unobserved confounding using binary instruments D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2023 | 13 | 2023 |
| Sharp Bounds for Generalized Causal Sensitivity Analysis D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 5 | 2023 |
| Bayesian neural controlled differential equations for treatment effect estimation K Hess, V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024 | 2 | 2024 |
| Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model V Melnychuk, D Frauen, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 2 | 2023 |
| Reliable Off-Policy Learning for Dosage Combinations J Schweisthal, D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 2 | 2023 |
| Fair off-policy learning from observational data D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2303.08516, 2023 | 2 | 2023 |
| A Neural Framework for Generalized Causal Sensitivity Analysis D Frauen, F Imrie, A Curth, V Melnychuk, S Feuerriegel, M van der Schaar International Conference on Learning Representations (ICLR), 2024 | 1 | 2024 |
| Counterfactual Fairness for Predictions using Generative Adversarial Networks Y Ma, D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2310.17687, 2023 | 1 | 2023 |
| Causal Machine Learning for Cost-Effective Allocation of Development Aid M Kuzmanovic, D Frauen, T Hatt, S Feuerriegel arXiv preprint arXiv:2401.16986, 2024 | | 2024 |
| Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework M Schröder, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024 | | 2024 |
| Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024 | | 2024 |
Stefan FeuerriegelProfessor, LMU MunichVerified email at lmu.de
