most citedEnhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization

9 citations · 15 across the 4 of their papers we have counts for

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stat.ML2023★ 3 cited

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…

stat.ML2023★ 9 cited

Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization

Shijie Cui, Agus Sudjianto, Aijun Zhang +1

Gradient-boosted decision trees (GBDT) are widely used and highly effective machine learning approach for tabular data modeling. However, their complex structure may lead to low ro…