Congratulations to UW Statistics Ph.D. student, Ronak Mehta for being selected to give a spotlight presentation at ICLR for his paper entitled, “Distributing Robust Optimization with Bias and Variance Reduction.”  The paper proposed a stochastic method for statistical learning under potential distributional shift. 

Ronak’s work was supported by the NSF-funded Institute on Foundations of Data Science (IFDS)Institute on Foundations of Machine Learning (IFML), and the SCALE project.