2 papers
cs.LG2023
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations
Koorosh Aslansefat, Mojgan Hashemian, Martin Walker +3
Machine learning is currently undergoing an explosion in capability, popularity, and sophistication. However, one of the major barriers to widespread acceptance of machine learning…
cs.LG2022
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring
Al-Harith Farhad, Ioannis Sorokos, Andreas Schmidt +3
Machine Learning~(ML) has provided promising results in recent years across different applications and domains. However, in many cases, qualities such as reliability or even safety…