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Empirical Inference Conference Paper 2025

Do-PFN: In-Context Learning for Causal Effect Estimation

arXiv

Empirical Inference
Empirical Inference
Empirical Inference
Author(s): Robertson*, J. and Reuter*, A. and Guo, S. and Hollmann, N. and Hutter, F. and Schölkopf, B.
Links:
Book Title: Advances in Neural Information Processing Systems 38 (NeurIPS 2025)
Volume: 38
Pages: 174811--174848
Year: 2025
Month: December
Editors: D. Belgrave and C. Zhang and H. Lin and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen
Publisher: Curran Associates, Inc.
BibTeX Type: Conference Paper (conference)
Event Name: 39th Annual Conference on Neural Information Processing Systems
Event Place: San Diego Convention Center and Mexico City
State: Published
URL: https://proceedings.neurips.cc/paper_files/paper/2025/file/ff997469ac66cf893c4183efeb22212a-Paper-Conference.pdf
Note: *equal contribution

BibTeX

@conference{Robertsonetal25,
  title = {Do-PFN: In-Context Learning for Causal Effect Estimation},
  booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS 2025)},
  volume = {38},
  pages = {174811--174848},
  editors = {D. Belgrave and C. Zhang and H. Lin and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen},
  publisher = {Curran Associates, Inc.},
  month = dec,
  year = {2025},
  note = {*equal contribution},
  author = {Robertson*, J. and Reuter*, A. and Guo, S. and Hollmann, N. and Hutter, F. and Sch{\"o}lkopf, B.},
  url = {https://proceedings.neurips.cc/paper_files/paper/2025/file/ff997469ac66cf893c4183efeb22212a-Paper-Conference.pdf},
  month_numeric = {12}
}