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Random Planted Forest: a directly interpretable tree ensemble
v1v2v3 (latest)

Random Planted Forest: a directly interpretable tree ensemble

29 December 2020
M. Hiabu
E. Mammen
Josephine T. Meyer
ArXiv (abs)PDFHTMLGithub (5★)

Papers citing "Random Planted Forest: a directly interpretable tree ensemble"

5 / 5 papers shown
Pure interaction effects unseen by Random Forests
Pure interaction effects unseen by Random ForestsComputational Statistics & Data Analysis (CSDA), 2024
Ricardo Blum
M. Hiabu
E. Mammen
J. T. Meyer
300
0
0
19 Jun 2024
Learning a Decision Tree Algorithm with Transformers
Learning a Decision Tree Algorithm with Transformers
Yufan Zhuang
Liyuan Liu
Chandan Singh
Jingbo Shang
Jianfeng Gao
338
7
0
06 Feb 2024
Consistency of Random Forest Type Algorithms under a Probabilistic
  Impurity Decrease Condition
Consistency of Random Forest Type Algorithms under a Probabilistic Impurity Decrease Condition
Ricardo Blum
M. Hiabu
E. Mammen
J. T. Meyer
262
3
0
04 Sep 2023
Shapley Curves: A Smoothing Perspective
Shapley Curves: A Smoothing PerspectiveSocial Science Research Network (SSRN), 2022
Ratmir Miftachov
Georg Keilbar
Wolfgang Karl Härdle
FAtt
475
3
0
23 Nov 2022
Unifying local and global model explanations by functional decomposition
  of low dimensional structures
Unifying local and global model explanations by functional decomposition of low dimensional structuresInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
M. Hiabu
Josephine T. Meyer
Marvin N. Wright
FAtt
422
27
0
12 Aug 2022
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