We study the problem of solving semidefinite programs (SDP) in the strea...
Weighted low rank approximation is a fundamental problem in numerical li...
Deep learning has achieved impressive success in a variety of fields bec...
The multicommodity flow problem is a classic problem in network flow and...
Given a matrix A∈ℝ^n× d and a vector b∈ℝ^n, we consider the regression p...
Many real-world problems can be formulated as the alignment between two
...
We provide universally-optimal distributed graph algorithms for
(1+ε)-ap...
We study distributed algorithms built around edge contraction based vert...
In real-world, many problems can be formulated as the alignment between ...
Motivated by the arising realistic issues in big data, the problem of Mi...
Motivated by the arising realistic issues in big data, the problem of Mi...