| Nonparametric estimation of heterogeneous treatment effects: From theory to learning algorithms A Curth, M Van der Schaar International Conference on Artificial Intelligence and Statistics, 1810-1818, 2021 | 107 | 2021 |
| Machine learning for clinical trials in the era of COVID-19 WR Zame, I Bica, C Shen, A Curth, HS Lee, S Bailey, J Weatherall, ... Statistics in biopharmaceutical research 12 (4), 506-517, 2020 | 60 | 2020 |
| On Inductive Biases for Heterogeneous Treatment Effect Estimation A Curth, M van der Schaar Proceedings of the 35th Conference on Neural Information Processing Systems …, 2021 | 53 | 2021 |
| Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation A Curth, D Svensson, J Weatherall, M van der Schaar Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021 | 45 | 2021 |
| Hyperimpute: Generalized iterative imputation with automatic model selection D Jarrett, BC Cebere, T Liu, A Curth, M van der Schaar International Conference on Machine Learning, 9916-9937, 2022 | 33 | 2022 |
| SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data A Curth*, C Lee*, M van der Schaar Proceedings of the 35th Conference on Neural Information Processing Systems …, 2021 | 25 | 2021 |
| Transferring clinical prediction models across hospitals and electronic health record systems A Curth, P Thoral, W van den Wildenberg, P Bijlstra, D de Bruin, P Elbers, ... Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 22 | 2020 |
| Combining observational and randomized data for estimating heterogeneous treatment effects T Hatt, J Berrevoets, A Curth, S Feuerriegel, M van der Schaar arXiv preprint arXiv:2202.12891, 2022 | 20 | 2022 |
| Estimating Structural Target Functions using Machine Learning and Influence Functions A Curth, AM Alaa, M van der Schaar arXiv preprint arXiv:2008.06461, 2020 | 15 | 2020 |
| Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability J Crabbé*, A Curth*, I Bica*, M van der Schaar Proceedings of the Neural Information Processing Systems Track on Datasets …, 2022 | 13 | 2022 |
| In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation A Curth, M van der Schaar International Conference on Machine Learning (ICML) 2023, 2023 | 12 | 2023 |
| Disentangled counterfactual recurrent networks for treatment effect inference over time J Berrevoets, A Curth, I Bica, E McKinney, M van der Schaar arXiv preprint arXiv:2112.03811, 2021 | 12 | 2021 |
| Estimating multi-cause treatment effects via single-cause perturbation Z Qian, A Curth, M van der Schaar Advances in Neural Information Processing Systems 34, 23754-23767, 2021 | 11 | 2021 |
| Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time T Vanderschueren*, A Curth*, W Verbeke, M van der Schaar International Conference on Machine Learning (ICML) 2023, 2023 | 7 | 2023 |
| Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators A Curth, M van der Schaar Workshop on the Neglected Assumptions in Causal Inference, ICML 2021, 2021 | 7 | 2021 |
| Inverse online learning: Understanding non-stationary and reactionary policies AJ Chan, A Curth, M van der Schaar International Conference on Learning Representations (ICLR) 2022, 2022 | 6 | 2022 |
| A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning A Curth*, A Jeffares*, M van der Schaar Proceedings of the 37th Conference on Neural Information Processing Systems …, 2023 | 5 | 2023 |
| Understanding the impact of competing events on heterogeneous treatment effect estimation from time-to-event data A Curth, M van der Schaar International Conference on Artificial Intelligence and Statistics, 7961-7980, 2023 | 5 | 2023 |
| Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions A Curth, A Hüyük, M van der Schaar International Conference on Machine Learning (ICML) 2023, 2022 | 5* | 2022 |
| Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities A Curth, RW Peck, E McKinney, J Weatherall, M van Der Schaar Clinical Pharmacology & Therapeutics, 2024 | 2 | 2024 |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstituteVerified email at ee.ucla.edu
