Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success

1 November 2019

Papers citing "Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success"

11 / 11 papers shown

Title
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests Brian Liu Rahul Mazumder 30 1 0 20 Feb 2024
SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On Ruida Wang Raymond Chi-Wing Wong Weile Tan 27 1 0 20 Sep 2023
Generalized equivalences between subsampling and ridge regularization Pratik V. Patil Jin-Hong Du 39 5 0 29 May 2023
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation M. D. Cattaneo Jason M. Klusowski Peter M. Tian 28 4 0 19 Nov 2022
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles Luqin Gan Lili Zheng Genevera I. Allen 32 6 0 05 Jun 2022
Sequential Permutation Testing of Random Forest Variable Importance Measures Alexander Hapfelmeier R. Hornung Bernhard Haller 30 15 0 02 Jun 2022
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods Abhineet Agarwal Yan Shuo Tan Omer Ronen Chandan Singh Bin-Xia Yu 65 27 0 02 Feb 2022
An Embedded Model Estimator for Non-Stationary Random Functions using Multiple Secondary Variables C. Daly 14 5 0 09 Nov 2020
Macroeconomic Data Transformations Matter Philippe Goulet Coulombe Maxime Leroux D. Stevanovic Stéphane Surprenant 16 18 0 04 Aug 2020
Asymptotic Distributions and Rates of Convergence for Random Forests via Generalized U-statistics Weiguang Peng T. Coleman L. Mentch 21 39 0 25 May 2019
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 158 2,733 0 18 Nov 2015