We present an O(log k)-approximation for both the edge-weighted and
node...
The act of telling stories is a fundamental part of what it means to be
...
k-center is one of the most popular clustering models. While it admits a...
In this paper, we present improved approximation algorithms for the
(uns...
We consider the rooted prize-collecting walks (PCW) problem, wherein we ...
We give the first constant-factor approximation algorithm for quasi-bipa...
We look at how machine learning techniques that derive properties of ite...
We give the first constant-factor approximation for the Directed Latency...
We study approximation algorithms for graph pricing with vertex capaciti...
We investigate the complexity of solving stable or perturbation-resilien...
The most well known and ubiquitous clustering problem encountered in nea...