A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data

Yehu Chen, Annamaria Prati, Jacob M. Montgomery, Roman Garnett. A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data. In Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent, editors, International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. Volume 206 of Proceedings of Machine Learning Research, pages 4068-4088, PMLR, 2023. [doi]

@inproceedings{ChenPMG23,
  title = {A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data},
  author = {Yehu Chen and Annamaria Prati and Jacob M. Montgomery and Roman Garnett},
  year = {2023},
  url = {https://proceedings.mlr.press/v206/chen23d.html},
  researchr = {https://researchr.org/publication/ChenPMG23},
  cites = {0},
  citedby = {0},
  pages = {4068-4088},
  booktitle = {International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain},
  editor = {Francisco J. R. Ruiz and Jennifer G. Dy and Jan-Willem van de Meent},
  volume = {206},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}