Maximizing monotone submodular functions under a matroid constraint is a...
Maximizing a submodular function is a fundamental task in machine learni...
Maximizing a monotone submodular function is a fundamental task in machi...
The sliding window model of computation captures scenarios in which data...
The task of maximizing a monotone submodular function under a cardinalit...
Online bipartite matching and its variants are among the most fundamenta...
Streaming algorithms are generally judged by the quality of their soluti...
As a generalization of many classic problems in combinatorial optimizati...
As a generalization of many classic problems in combinatorial optimizati...
The sheer scale of modern datasets has resulted in a dire need for
summa...
In the Submodular Welfare Maximization (SWM) problem, the input consists...
Can we efficiently extract useful information from a large user-generate...
A variety of large-scale machine learning problems can be cast as instan...