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Authors

  • Yanis Vandecasteele. Maintainer, author.

  • Michael Lingzhi Li. Contributor.

  • Kosuke Imai. Contributor.

  • Zeyang Jia. Contributor.

  • Longlin Wang. Contributor.

Citation

Source: inst/CITATION

Vandecasteele Y, Li M, Imai K, Jia Z, Wang L (2025). cramR: The Cram Method for Efficient Simultaneous Learning and Evaluation. Package developed and maintained by Yanis Vandecasteele., https://github.com/yanisvdc/cramR.

@Manual{,
  title = {cramR: The Cram Method for Efficient Simultaneous Learning and Evaluation},
  author = {Yanis Vandecasteele and Michael Lingzhi Li and Kosuke Imai and Zeyang Jia and Longlin Wang},
  year = {2025},
  note = {Package developed and maintained by Yanis Vandecasteele.},
  url = {https://github.com/yanisvdc/cramR},
}

Jia Z, Imai K, Li M (2024). “The Cram Method for Efficient Simultaneous Learning and Evaluation.” Harvard Business School. Accessed April 2025, https://www.hbs.edu/ris/Publication%20Files/2403.07031v1_a83462e0-145b-4675-99d5-9754aa65d786.pdf.

@TechReport{,
  title = {The Cram Method for Efficient Simultaneous Learning and Evaluation},
  author = {Zeyang Jia and Kosuke Imai and Michael Lingzhi Li},
  institution = {Harvard Business School},
  year = {2024},
  url = {https://www.hbs.edu/ris/Publication%20Files/2403.07031v1_a83462e0-145b-4675-99d5-9754aa65d786.pdf},
  note = {Accessed April 2025},
}

Jia Z, Imai K, Li M (2025). “Cramming Contextual Bandits for On-policy Statistical Evaluation.” 2403.07031, https://arxiv.org/abs/2403.07031.

@Misc{,
  title = {Cramming Contextual Bandits for On-policy Statistical Evaluation},
  author = {Zeyang Jia and Kosuke Imai and Michael Lingzhi Li},
  year = {2025},
  eprint = {2403.07031},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  url = {https://arxiv.org/abs/2403.07031},
}