Fellowship Final Report: Quantifying Machine Learning Model Trustworthiness

The title of the proposed project was “Quantifying Machine Learning Model Trustworthiness.” Machine learning (ML) algorithms are at the core of modern AI. The focus of ML researchers in the past decade has been mainly on improving the performance of ML by developing novel algorithms to outperform the prior algorithms and complete even more complex […]