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Sullivan Hué

Institut Universitaire de France (from arXiv:2511.21257, 2025) · OpenAlex

6 papers in scope · 4 published · 2 on the econ.EM arXiv · 468 citations · h-index 3 (over the papers listed here)

Related authors

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

  1. Alexandre Belloni
  2. C. Hansen
  3. Christian Hansen
  4. Victor Chernozhukov
  5. Daniel Chen
  6. Martin Spindler
  7. Denis Chetverikov
  8. Whitney K. Newey
  9. Iván Fernández-Val
  10. Kengo Kato
  11. Vasilis Syrgkanis
  12. Achim Ahrens
  13. Mark E. Schaffer
  14. Matias D. Cattaneo
  15. James M. Robins
  16. Thomas Wiemann
  17. Max H. Farrell
  18. Harold D. Chiang
  19. Philipp Bach
  20. Susan Athey

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

(3 of 6)

published2026 · Management Science · 3 citations · first circulated 2022
with Christophe Hurlin, Christophe Pérignon, Sébastien Saurin, Hué Sullivan, Pérignon Christophe, Saurin Sébastien
working paper2025 · arXiv
Interpretable Machine Learning Using Partial Linear Models*
published2023 · Oxford Bulletin of Economics and Statistics · 6 citations
working paper2022 · arXiv · 3 citations
Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects
published2021 · European Journal of Operational Research · 401 citations
with Elena Dumitrescu, Christophe Hurlin, Sessi Tokpavi
Measuring network systemic risk contributions: A leave-one-out approach
published2018 · Journal of Economic Dynamics and Control · 55 citations
with Yannick Lucotte, Sessi Tokpavi

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.