| Causal Transformer for Estimating Counterfactual Outcomes V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML), 162, 15293-15329, 2022 | 110 | 2022 |
| Causal machine learning for predicting treatment outcomes S Feuerriegel, D Frauen, V Melnychuk, J Schweisthal, K Hess, A Curth, ... Nature Medicine 30 (4), 958-968, 2024 | 103 | 2024 |
| Estimating individual treatment effects under unobserved confounding using binary instruments D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2023 | 29 | 2023 |
| 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 | 26 | 2023 |
| Sharp Bounds for Generalized Causal Sensitivity Analysis D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 20 | 2023 |
| Normalizing Flows for Interventional Density Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML), 2023 | 19 | 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 | 16 | 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 | 13 | 2023 |
| Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024 | 11 | 2024 |
| 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 | 10 | 2024 |
| Reliable Off-Policy Learning for Dosage Combinations J Schweisthal, D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023 | 9 | 2023 |
| Fair Off-Policy Learning from Observational Data D Frauen, V Melnychuk, S Feuerriegel International Conference on Machine Learning (ICML), 2024 | 6 | 2024 |
| Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework M Schröder, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024 | 6 | 2024 |
| Causal Machine Learning for Cost-Effective Allocation of Development Aid M Kuzmanovic, D Frauen, T Hatt, S Feuerriegel KDD, 2024 | 5 | 2024 |
| Conformal prediction for causal effects of continuous treatments M Schröder, D Frauen, J Schweisthal, K Heß, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2407.03094, 2024 | 4 | 2024 |
| Model-agnostic meta-learners for estimating heterogeneous treatment effects over time D Frauen, K Hess, S Feuerriegel International Conference on Learning Representations (ICLR), 2025 | 3 | 2025 |
| Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments J Schweisthal*, D Frauen*, M van der Schaar, S Feuerriegel International Conference on Machine Learning (ICML), 2024 | 3 | 2024 |
| G-transformer for conditional average potential outcome estimation over time K Hess, D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2405.21012, 2024 | 2 | 2024 |
| Counterfactual fairness prediction: Consistent estimation with generative models and theoretical guarantees Y Ma, D Frauen, V Melnychuk, S Feuerriegel | 2* | |
| Orthogonal representation learning for estimating causal quantities V Melnychuk, D Frauen, J Schweisthal, S Feuerriegel arXiv preprint arXiv:2502.04274, 2025 | 1 | 2025 |
Stefan FeuerriegelProfessor, LMU MunichПотвърден имейл адрес: lmu.de