Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments

Biao Yin, Anthony F. Botelho, Thanaporn Patikorn, Neil T. Heffernan, Jian Zou. Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments. In Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette, editors, Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. International Educational Data Mining Society (IEDMS), 2017. [doi]

@inproceedings{YinBPHZ17,
  title = {Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments},
  author = {Biao Yin and Anthony F. Botelho and Thanaporn Patikorn and Neil T. Heffernan and Jian Zou},
  year = {2017},
  url = {http://educationaldatamining.org/EDM2017/proc_files/papers/paper_136.pdf},
  researchr = {https://researchr.org/publication/YinBPHZ17},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017},
  editor = {Xiangen Hu and Tiffany Barnes and Arnon Hershkovitz and Luc Paquette},
  publisher = {International Educational Data Mining Society (IEDMS)},
}