Follow
Alicia Curth
Alicia Curth
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
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
422021
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
422020
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
202021
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
182021
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
152020
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
92022
Estimating Structural Target Functions using Machine Learning and Influence Functions
A Curth, AM Alaa, M van der Schaar
arXiv preprint arXiv:2008.06461, 2020
92020
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
72021
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
52021
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
42022
Inverse online learning: Understanding non-stationary and reactionary policies
AJ Chan, A Curth, M van der Schaar
arXiv preprint arXiv:2203.07338, 2022
32022
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
32021
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
J Crabbé*, A Curth*, I Bica*, M van der Schaar
arXiv preprint arXiv:2206.08363, 2022
22022
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
22021
Uncertainty and the US economy: an investigation of the economic effects of economic policy uncertainty shocks originating in the US and Europe
A Curth
Erasmus University Rotterdam, 2018
22018
Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials
A Curth, A Hüyük, M van der Schaar
arXiv preprint arXiv:2208.05844, 2022
1*2022
Identifying Good Arms Fast and With Confidence: Strategies and Empirical Insights
A Curth, A Hüyük, M van der Schaar
The system can't perform the operation now. Try again later.
Articles 1–17