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Minimax Rates for High-Dimensional Random Tessellation Forests

Minimax Rates for High-Dimensional Random Tessellation Forests

22 September 2021
Eliza O'Reilly
N. Tran
ArXivPDFHTML

Papers citing "Minimax Rates for High-Dimensional Random Tessellation Forests"

4 / 4 papers shown
Title
TrIM: Transformed Iterative Mondrian Forests for Gradient-based
  Dimension Reduction and High-Dimensional Regression
TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression
Ricardo Baptista
Eliza O'Reilly
Yangxinyu Xie
42
2
0
13 Jul 2024
Statistical Advantages of Oblique Randomized Decision Trees and Forests
Statistical Advantages of Oblique Randomized Decision Trees and Forests
Eliza O'Reilly
18
1
0
02 Jul 2024
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
158
2,729
0
18 Nov 2015
V-fold cross-validation improved: V-fold penalization
V-fold cross-validation improved: V-fold penalization
Sylvain Arlot
125
70
0
05 Feb 2008
1