Sparse learning with CART

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Bagging predictors

Leo Breiman · 1996

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Random forests

Leo Breiman · 2001

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Analyzing bagging

Peter Bühlmann and Bin Yu · 2002

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Analysis of a complexity-based pruning scheme for classification trees

Andrew B Nobel · 2002

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Model selection for CART regression trees

Servane Gey and Elodie Nedelec · 2005

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Random forests and adaptive nearest neighbors

Yi Lin and Yongho Jeon · 2006

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Quantile regression forests

Nicolai Meinshausen · 2006

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Confidence sets for split points in decision trees

Moulinath Banerjee and Ian W McKeague · 2007

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

T. Hastie, R. Tibshirani, and J. Friedman · 2009

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Narrowing the gap: Random forests in theory and in practice

Misha Denil, David Matheson, and Nando De Freitas · 2014

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The effect of splitting on random forests

Hemant Ishwaran · 2015

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Consistency of random forests

Erwan Scornet, Gérard Biau, and Jean-Philippe Vert · 2015

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Estimation and inference of heterogeneous treatment effects using random forests

Stefan Wager and Susan Athey · 2018

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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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