104 citations · 209 across the 10 of their papers we have counts for
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stat.ML2019
Gradient Boosting Machine: A Survey
Zhiyuan He, Danchen Lin, Thomas Lau +1
In this survey, we discuss several different types of gradient boosting algorithms and illustrate their mathematical frameworks in detail: 1. introduction of gradient boosting lead…
stat.ML2017★ 104 cited
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu, Michael C. Hughes, Sonali Parbhoo +3
The lack of interpretability remains a key barrier to the adoption of deep models in many applications. In this work, we explicitly regularize deep models so human users might step…