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Alicia Curth
Alicia Curth
Verified email at cam.ac.uk
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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
362020
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
252021
Transferring clinical prediction models across hospitals and electronic health record systems
A Curth, P Thoral, W Wildenberg, P Bijlstra, D Bruin, P Elbers, M Fornasa
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
102019
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
92021
Estimating Structural Target Functions using Machine Learning and Influence Functions
A Curth, AM Alaa, M van der Schaar
arXiv preprint arXiv:2008.06461, 2020
82020
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
72021
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
52022
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
32021
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
Undergraduate thesis, Rotterdam: Erasmus University Rotterdam, 2018
22018
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
12021
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
12021
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
2022
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
2022
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
AJ Chan, A Curth, M van der Schaar
arXiv preprint arXiv:2203.07338, 2022
2022
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