Feature selection for discovering distributional treatment effect modifiers

Yoichi Chikahara, Makoto Yamada, Hisashi Kashima. Feature selection for discovering distributional treatment effect modifiers. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 400-410, PMLR, 2022. [doi]

@inproceedings{ChikaharaYK22,
  title = {Feature selection for discovering distributional treatment effect modifiers},
  author = {Yoichi Chikahara and Makoto Yamada and Hisashi Kashima},
  year = {2022},
  url = {https://proceedings.mlr.press/v180/chikahara22a.html},
  researchr = {https://researchr.org/publication/ChikaharaYK22},
  cites = {0},
  citedby = {0},
  pages = {400-410},
  booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands},
  editor = {James Cussens and Kun Zhang 0001},
  volume = {180},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}