Ramdas Receives Google Research Scholar Award
By Kayla Papakie
Aaditya Ramdas, an assistant professor in the School of Computer Science's Machine Learning Department and the Department of Statistics & Data Science in Dietrich College, has received a $60,000 award from Google's Research Scholar Program to study structured uncertainty quantification.
Before researchers make real-world decisions based on machine learning predictions, they first need a sense of how sure the algorithm is about its predictions, but the complex nature of algorithms gives researchers little understanding of what goes on inside them once they input data. This funding will help Ramdas and his team develop new methods for measuring the prediction uncertainty for these algorithms without making distributional assumptions about the data.