2024
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
AISTATS 2024poster
Machine learning methods have significantly improved in their predictive capabilities, but at the same time they are becoming more complex and less transparent. As a result, explainers are often relied on to provide interpretability to these black-box prediction models. As crucial diagnostics tools,…