Qiming Du, Gérard Biau, François Petit, Raphaël Porcher. Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects. In Arindam Banerjee 0001, Kenji Fukumizu, editors, The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event. Volume 130 of Proceedings of Machine Learning Research, pages 1729-1737, PMLR, 2021. [doi]
@inproceedings{DuBPP21,
title = {Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects},
author = {Qiming Du and Gérard Biau and François Petit and Raphaël Porcher},
year = {2021},
url = {http://proceedings.mlr.press/v130/du21a.html},
researchr = {https://researchr.org/publication/DuBPP21},
cites = {0},
citedby = {0},
pages = {1729-1737},
booktitle = {The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event},
editor = {Arindam Banerjee 0001 and Kenji Fukumizu},
volume = {130},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}