Pengtao Xie
Research Interests: latent variable models (LVMs). Specifically, I am interested in (1) designing LVMs to address various complex modeling issues presented in big data; (2) developing geometry regularization approaches of LVMs to capture longtail knowledge and reduce model complexity; (3) designing distributed systems to facilitate large scale inference and learning of LVMs; (4) developing privacy preservation techniques to protect users' privacy in cloud machine learning. Currently I am focusing on the second and third aspect.
Bio: I am working with Prof. Eric Xing in SAILING lab.
My research interests lie in latent variable models, in particular developing geometric regularization approaches to reduce model complexity without compromising expressiveness and building distributed systems to facilitate large scale latent variable modeling..
Before coming to CMU,
I obtained a M.E. from Tsinghua University in 2013
and a B.E. from Sichuan University in 2010. I am the recipient of Siebel Scholarship, Goldman Sachs Global Leader Scholarship and National Scholarship of China.
