Le-Men Chao

A unified framework for global and local interpretability using adaptive derivative-ordered random explanation

The interpretability of complex machine learning models is of paramount importance, especially in real-world high-stakes domains such as healthcare and finance. However, existing post-hoc interpretability methods suffer from inherent limitations: fragmented analytical processes, inadequate capacity to model nonlinear f...