Alex L. Wang
Carnegie Mellon University
Centrum Wiskunde & Informatica
I am a postdoctoral researcher at Centrum Wiskunde & Informatica (CWI), hosted by Monique Laurent. I am affiliated with the Networks & Optimization group and the Optimization for and with Machine Learning project. Prior to CWI, I completed my Ph.D. at Carnegie Mellon University (CMU) where I was fortunate to be advised by Fatma Kılınç-Karzan.
I will be joining Purdue Krannert’s Quantitative Methods area as an assistant professor beginning January 2023.
My research interests lie in the development and application of convex optimization tools towards nonconvex problems, especially those inspired by machine learning tasks. My work has been recognized by the INFORMS Optimization Society 2021 Best Student Paper Award and an ICML Outstanding Paper Award 2022.
newSolving Stackelberg Prediction Game with Least Squares Loss received an ICML Outstanding Paper Award 2022.
newA preprint of Accelerated first-order methods for a class of semidefinite programs is now available online