Home | Research | Google Scholar | Teaching |
![]() |
|
|
||||||
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 non-convex optimization
and tensor decompositions. See the Research
page for more details.
My thesis: Provable Algorithms for Machine Learning Problems |
||||||
|
||||||
Students
& Post-docs |
||||||
Current
PhD students: Muthu Chidambaram Ruomin Huang Graduated students Abraham Frandsen Xiang Wang Keerti Anand (co-advised with Debmalya Panigrahi) Chenwei Wu Mo Zhou Post-docs: Holden Lee (with Jianfeng Lu, now faculty at Johns Hopkins University) Yu Cheng (with many others in algorithms group, now faculty at Brown University) |
||||||
|
||||||
Selected Recent Publications | ||||||
|
||||||
|
||||||
Contact | ||||||
|
||||||