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Alicia Curth

University of Cambridge (per OpenAlex) · ORCID · OpenAlex

7 papers in scope · 6 published · 1 on the econ.EM arXiv · 422 citations · h-index 5 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Qi Wu
  2. Siyi Wang
  3. Yijun Li
  4. Yiyan Huang
  5. Cheuk Hang Leung
  6. Xinkun Nie
  7. Hui Lan
  8. Mihaela van der Schaar
  9. Michael C. Knaus
  10. Stefan Wager
  11. Shumin Ma
  12. Zhiri Yuan
  13. Zhixiang Huang
  14. Dongdong Wang
  15. Anthony Strittmatter
  16. Michael Lechner
  17. Xing Yan
  18. Foster Provost
  19. Benjamin Carterette
  20. Jesse Anderton

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 7)

Causal machine learning for predicting treatment outcomes
published2024 · Nature Medicine · 271 citations
with Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Heß, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar
Nature Medicine
Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities
published2023 · Clinical Pharmacology & Therapeutics · 35 citations
with Richard Peck, Eoin McKinney, James Weatherall, Mihaela van der Schaar
Clinical Pharmacology & Therapeutics
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
working paper2023 · arXiv · 1 citations
with Mihaela van der Schaar
Paper profile arXiv arXiv:2302.02923
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
published2021 · Neural Information Processing Systems · 5 citations
with Zhaozhi Qian, Mihaela van der Schaar
no link
Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation
published2021 · Neural Information Processing Systems · 8 citations
with David Svensson, Jim Weatherall, Mihaela van der Schaar
no link
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
published2021 · International Conference on Artificial Intelligence and Statistics · 31 citations
with Mihaela van der Schaar
International Conference on Artificial Intelligence and Statistics
Machine learning for clinical trials in the era of COVID-19
published2020 · Statistics in Biopharmaceutical Research · 71 citations
with William R. Zame, Ioana Bica, Cong Shen, Hyun-Suk Lee, Stuart Bailey, James Weatherall, David Wright, Frank Bretz, Mihaela van der Schaar
Statistics in Biopharmaceutical Research

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.