10 citations · 16 across the 3 of their papers we have counts for
3 papers
stat.ML2022
ControlBurn: Nonlinear Feature Selection with Sparse Tree Ensembles
Brian Liu, Miaolan Xie, Haoyue Yang +1
ControlBurn is a Python package to construct feature-sparse tree ensembles that support nonlinear feature selection and interpretable machine learning. The algorithms in this packa…
cs.LG2021★ 6 cited
ControlBurn: Feature Selection by Sparse Forests
Brian Liu, Miaolan Xie, Madeleine Udell
Tree ensembles distribute feature importance evenly amongst groups of correlated features. The average feature ranking of the correlated group is suppressed, which reduces interpre…
cs.LG2020★ 10 cited
Impact of Accuracy on Model Interpretations
Brian Liu, Madeleine Udell
Model interpretations are often used in practice to extract real world insights from machine learning models. These interpretations have a wide range of applications; they can be p…