4 papers
Statistical Inference for Explainable Boosting Machines
Haimo Fang, Kevin Tan, Jonathan Pipping-Gamon +1
Explainable boosting machines (EBMs) are popular "glass-box" models that learn a set of univariate functions using boosting trees. These achieve explainability through visualizatio…
Statistical Inference for Gradient Boosting Regression
Haimo Fang, Kevin Tan, Giles Hooker
Gradient boosting is widely popular due to its flexibility and predictive accuracy. However, statistical inference and uncertainty quantification for gradient boosting remain chall…
6D Pose Estimation on Spoons and Hands
Kevin Tan, Fan Yang, Yuhao Chen
Accurate dietary monitoring is essential for promoting healthier eating habits. A key area of research is how people interact and consume food using utensils and hands. By tracking…
Interpretable Hierarchical Attention Network for Medical Condition Identification
Dongping Fang, Lian Duan, Xiaojing Yuan +5
Accurate prediction of medical conditions with straight past clinical evidence is a long-sought topic in the medical management and health insurance field. Although great progress…