24 citations · 80 across the 32 of their papers we have counts for
4 papers · 1 filter
Monotone Tree-Based GAMI Models by Adapting XGBoost
Linwei Hu, Soroush Aramideh, Jie Chen +1
Recent papers have used machine learning architecture to fit low-order functional ANOVA models with main effects and second-order interactions. These GAMI (GAM + Interaction) model…
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons
Linwei Hu, Vijayan N. Nair, Agus Sudjianto +2
In the early days of machine learning (ML), the emphasis was on developing complex algorithms to achieve best predictive performance. To understand and explain the model results, o…
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…
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition
Vijayan N. Nair, Tianshu Feng, Linwei Hu +3
When a financial institution declines an application for credit, an adverse action (AA) is said to occur. The applicant is then entitled to an explanation for the negative decision…