Given a set of points in d-dimensional space, an explainable clustering ...
Given a graph with edges colored red or blue and an integer k, the exact...
Despite a surge of interest in submodular maximization in the data strea...
The Matching Augmentation Problem (MAP) has recently received significan...
We relate discrepancy theory with the classic scheduling problems of
min...
In the Non-Uniform k-Center problem we need to cover a finite metric spa...
Recent progress in (semi-)streaming algorithms for monotone submodular
f...
We consider the following geometric optimization problem: Given n
axis-a...
We study the problem of explainable clustering in the setting first
form...
While the basic greedy algorithm gives a semi-streaming algorithm with a...
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...
The extension of classical online algorithms when provided with predicti...
As power management has become a primary concern in modern data centers,...
An instance of colorful k-center consists of points in a metric space th...
In this paper, we study streaming and online algorithms in the context o...
We consider the classical problem of maximizing a monotone submodular
fu...
We consider the maximum bipartite matching problem in stochastic setting...
A sparsifier of a graph G (Benczúr and Karger; Spielman and Teng) is a
s...
The online matching problem was introduced by Karp, Vazirani and Vaziran...
We design a generic method for reducing the task of finding weighted
mat...
Many tasks in machine learning and data mining, such as data diversifica...
We study k-means clustering in a semi-supervised setting. Given an oracl...
In the min-knapsack problem one aims at choosing a set of objects with
m...