This paper considers correlation clustering on unweighted complete graph...
Recent work has shown that leveraging learned predictions can improve th...
We introduce fast algorithms for correlation clustering with respect to ...
Since the seminal result of Karger, Motwani, and Sudan, algorithms for
a...
In this paper, we study the following batch scheduling model: find a sch...
Mixtures of high dimensional Gaussian distributions have been studied
ex...
In the scheduling with non-uniform communication delay problem, the inpu...
In the usual trace reconstruction problem, the goal is to exactly recons...
We consider the classic problem of scheduling jobs with precedence
const...
We study the problem of learning a node-labeled tree given independent t...
A well-known problem in scheduling and approximation algorithms is the S...