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Aijun Zhang

Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification

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Oct 24, 2024
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Inherently Interpretable Tree Ensemble Learning

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Oct 24, 2024
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Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons

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May 25, 2023
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Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization

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May 11, 2023
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PiML Toolbox for Interpretable Machine Learning Model Development and Validation

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May 07, 2023
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Model-free Subsampling Method Based on Uniform Designs

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Sep 08, 2022
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Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification

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Nov 17, 2021
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Designing Inherently Interpretable Machine Learning Models

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Nov 02, 2021
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Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions

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Dec 15, 2020
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Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification

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Nov 08, 2020
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