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stat.ML2022
The Infinitesimal Jackknife and Combinations of Models
Indrayudh Ghosal, Yunzhe Zhou, Giles Hooker
The Infinitesimal Jackknife is a general method for estimating variances of parametric models, and more recently also for some ensemble methods. In this paper we extend the Infinit…
stat.ML2018★ 50 cited
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and its Variance Estimate
Indrayudh Ghosal, Giles Hooker
In this paper we propose using the principle of boosting to reduce the bias of a random forest prediction in the regression setting. From the original random forest fit we extract…