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My Research  
I
am
broadly interested in theoretical computer science and machine
learning. Modern machine learning algorithms such as deep learning try
to automatically learn useful hidden representations of the data. How
can we formalize hidden structures in the data, and how do we design
efficient algorithms to find them? My research aims to answer these
questions by studying problems that arise in analyzing text, images and
other forms of data, using techniques such as nonconvex optimization
and tensor decompositions. See the Research
page for more details.
My thesis: Provable Algorithms for Machine Learning Problems 



Students
& Postdocs 

Current
PhD students: Abraham Frandsen Xiang Wang Keerti Anand (coadvised with Debmalya Panigrahi) Chenwei Wu Mo Zhou Muthu Chidambaram (upcoming) Postdocs: Holden Lee (with Jianfeng Lu) Yu Cheng (with many others in algorithms group, now faculty at UIC) 



Selected Publications  




Workshops STOC2017, STOC2018  


Contact  

