Maximizing monotone submodular functions under a matroid constraint is a...
Streaming submodular maximization is a natural model for the task of
sel...
Maximizing a submodular function is a fundamental task in machine learni...
Despite a surge of interest in submodular maximization in the data strea...
Correlation clustering is a central problem in unsupervised learning, wi...
Maximizing a monotone submodular function is a fundamental task in machi...
Recent progress in (semi-)streaming algorithms for monotone submodular
f...
Correlation clustering is a central topic in unsupervised learning, with...
The community detection problem requires to cluster the nodes of a netwo...
k-means++ <cit.> is a widely used clustering algorithm that is
easy to i...
Given a stream of points in a metric space, is it possible to maintain a...
Submodular maximization has become established as the method of choice f...
The task of maximizing a monotone submodular function under a cardinalit...
We consider the classical problem of maximizing a monotone submodular
fu...
Given a source of iid samples of edges of an input graph G with n
vertic...
Many tasks in machine learning and data mining, such as data diversifica...
We study the classical problem of maximizing a monotone submodular funct...