Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects - researchr publication authors

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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]

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