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Random forests have become an important tool for improving accuracy in regression and classification problems since their inception by Leo Breiman in 2001.
An Introduction to Probability Theory and Its Applications: Volume I
William Feller · 1968
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Classification and regression trees
Leo Breiman, Jerome Friedman, RA Olshen, and Charles J Stone · 1984
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Random decision forests
Tin Kam Ho · 1995
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Shape quantization and recognition with randomized trees
Yali Amit and Donald Geman · 1997
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Information-theoretic determination of minimax rates of convergence
Yuhong Yang and Andrew Barron · 1999
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An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
Thomas G. Dietterich · 2000
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Random forests
Leo Breiman · 2001
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Consistency for a simple model of random forests
Leo Breiman · 2004
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Extremely randomized trees
Pierre Geurts, Damien Ernst, and Louis Wehenkel · 2006
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Random forests and adaptive nearest neighbors
Yi Lin and Yongho Jeon · 2006
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Consistency of random forests and other averaging classifiers
Gérard Biau, Luc Devroye, and Gábor Lugosi · 2008
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Risk bounds for purely uniformly random forests
Robin Genuer · 2010
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Analysis of a random forests model
Gérard Biau · 2012
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Robin Genuer · 2012
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Analysis of purely random forests bias
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Misha Denil, David Matheson, and Nando De Freitas · 2014
A random forest guided tour
Gérard Biau and Erwan Scornet · 2016
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Quantifying uncertainty in random forests via confidence intervals and hypothesis tests
Lucas Mentch and Giles Hooker · 2016
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On the asymptotics of random forests
Erwan Scornet · 2016
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Random forests and kernel methods
Erwan Scornet · 2016
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Iterative random forests to discover predictive and stable high-order interactions
Sumanta Basu, Karl Kumbier, James B Brown, and Bin Yu · 2018
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Impact of subsampling and tree depth on random forests
Roxane Duroux and Erwan Scornet · 2018
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Asymptotic theory for random forests
Stefan Wager · 2014
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Consistency of random forests
Erwan Scornet, Gérard Biau, and Jean-Philippe Vert · 2015
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Adaptive concentration of regression trees, with application to random forests
Stefan Wager and Guenther Walther · 2015
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A debiased MDI feature importance measure for random forests
Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, and Bin Yu · 2019
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Minimax optimal rates for Mondrian trees and forests
Jaouad Mourtada, Stéphane Gaïffas, and Erwan Scornet · 2019
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Jason M Klusowski · 2020
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