40 citations · 63 across the 7 of their papers we have counts for
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3 papers · 1 filter
stat.ME2019★ 2 cited
Tree Boosted Varying Coefficient Models
Yichen Zhou, Giles Hooker
This paper investigates the integration of gradient boosted decision trees and varying coefficient models. We introduce the tree boosted varying coefficient framework which justifi…
stat.ME2018★ 8 cited
Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution
Yichen Zhou, Giles Hooker
This paper examines a novel gradient boosting framework for regression. We regularize gradient boosted trees by introducing subsampling and employ a modified shrinkage algorithm so…
stat.ME2016★ 40 cited
Interpreting Models via Single Tree Approximation
Yichen Zhou, Giles Hooker
We propose a procedure to build a decision tree which approximates the performance of complex machine learning models. This single approximation tree can be used to interpret and s…