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06/10/2021
Bias, Consistency, and Alternative Perspectives of the Infinitesimal Jackknife
Though introduced nearly 50 years ago, the infinitesimal jackknife (IJ) ...
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03/30/2021
Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest
Due to their long-standing reputation as excellent off-the-shelf predict...
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03/05/2021
Forward Stability and Model Path Selection
Most scientific publications follow the familiar recipe of (i) obtain da...
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02/23/2021
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning
In 2001, Leo Breiman wrote of a divide between "data modeling" and "algo...
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03/07/2020
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance
As the size, complexity, and availability of data continues to grow, sci...
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12/06/2019
On Racial Disparities in Recent Fatal Police Shootings
Fatal police shootings in the United States continue to be a polarizing ...
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12/02/2019
Asymptotic Normality and Variance Estimation For Supervised Ensembles
Ensemble methods based on bootstrapping have improved the predictive acc...
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11/01/2019
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
Random forests remain among the most popular off-the-shelf supervised ma...
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08/30/2019
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
Despite the recent developments on neural summarization systems, the und...
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08/27/2019
Locally Optimized Random Forests
Standard supervised learning procedures are validated against a test set...
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05/25/2019
Asymptotic Distributions and Rates of Convergence for Random Forests and other Resampled Ensemble Learners
Random forests remain among the most popular off-the-shelf supervised le...
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05/01/2019
Please Stop Permuting Features: An Explanation and Alternatives
This paper advocates against permute-and-predict (PaP) methods for inter...
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04/16/2019
Scalable and Efficient Hypothesis Testing with Random Forests
Throughout the last decade, random forests have established themselves a...
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10/26/2017
Statistical Inference on Tree Swallow Migrations, Using Random Forests
Species migratory patterns have typically been studied through individua...
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06/29/2016
Multiphase Segmentation For Simultaneously Homogeneous and Textural Images
Segmentation remains an important problem in image processing. For homog...
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06/01/2015
Bootstrap Bias Corrections for Ensemble Methods
This paper examines the use of a residual bootstrap for bias correction ...
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04/25/2014