Xinyang Yi

New paper on solving mixed linear equations with many components, exactly and efficiently.
Two papers accepted to NIPS 2016.

I have successfully defended my Ph.D. thesis in Sept 2016.


About

I graduated with a PhD in Electrical and Computer Engineering from The University of Texas at Austin. My advisor was Constantine Caramanis. I obtained my B.E. from Tsinghua University in 2012. I have spent two summers as an intern at Google, where I made contributions to Google's recommendation and ads systems.

I am broadly interested in machine learning. My thesis research focused on developing tractable non-convex algorithms for modern data and learning problems with various constraints.

Email: yixy at utexas dot edu

Papers