2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 2 cited
Computing SHAP Efficiently Using Model Structure Information
Linwei Hu, Ke Wang
SHAP (SHapley Additive exPlanations) has become a popular method to attribute the prediction of a machine learning model on an input to its features. One main challenge of SHAP is…
stat.ML2022
Shapley Computations Using Surrogate Model-Based Trees
Zhipu Zhou, Jie Chen, Linwei Hu
Shapley-related techniques have gained attention as both global and local interpretation tools because of their desirable properties. However, their computation using conditional e…
stat.ML2022
Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study
Alice J. Liu, Arpita Mukherjee, Linwei Hu +2
This paper compares the performances of three supervised machine learning algorithms in terms of predictive ability and model interpretation on structured or tabular data. The algo…