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09/05/2023
Monotone Tree-Based GAMI Models by Adapting XGBoost
Recent papers have used machine learning architecture to fit low-order f...
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09/05/2023
Computing SHAP Efficiently Using Model Structure Information
SHAP (SHapley Additive exPlanations) has become a popular method to attr...
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05/25/2023
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons
In the early days of machine learning (ML), the emphasis was on developi...
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07/14/2022
Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models
Low-order functional ANOVA (fANOVA) models have been rediscovered in the...
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07/11/2022
Shapley Computations Using Surrogate Model-Based Trees
Shapley-related techniques have gained attention as both global and loca...
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04/27/2022
Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study
This paper compares the performances of three supervised machine learnin...
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04/26/2022
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition
When a financial institution declines an application for credit, an adve...
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07/28/2020
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms
Supervised Machine Learning (SML) algorithms, such as Gradient Boosting,...
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06/02/2018