Streaming submodular maximization is a natural model for the task of
sel...
Correlation clustering is a central problem in unsupervised learning, wi...
Deep neural networks (DNNs) have grown exponentially in complexity and s...
We give an online algorithm that with high probability computes a
(e/e-1...
Correlation clustering is a central topic in unsupervised learning, with...
In the scheduling with non-uniform communication delay problem, the inpu...
Submodular maximization has become established as the method of choice f...
Modern machine learning workloads use large models, with complex structu...
The task of maximizing a monotone submodular function under a cardinalit...
We consider the classic problem of scheduling jobs with precedence
const...
We consider the classic problem of scheduling jobs with precedence
const...
Many tasks in machine learning and data mining, such as data diversifica...
We study the classical problem of maximizing a monotone submodular funct...
Many state-of-the-art delineation methods rely on supervised machine lea...