In this paper, we study two generalizations of Vertex Cover and Edge Cov...
We revisit a natural variant of geometric set cover, called
minimum-memb...
Clustering with capacity constraints is a fundamental problem that attra...
Designing coresets–small-space sketches of the data preserving cost of t...
The study of fair algorithms has become mainstream in machine learning a...
k-center is one of the most popular clustering models. While it admits a...
k-means and k-median clustering are powerful unsupervised machine
learni...
We design the first subexponential-time (parameterized) algorithms for
s...
Given two sets S and T of points in the plane, of total size n, a
many-t...
In this paper, we consider the Minimum-Load k-Clustering/Facility Locati...
In this work, we study the k-median clustering problem with an additiona...
We develop new algorithmic methods with provable guarantees for feature
...
In this paper, we study the lower- and upper-bounded covering (LUC) prob...
Fair clustering is a constrained variant of clustering where the goal is...
In the Metric Capacitated Covering (MCC) problem, given a set of balls
ℬ...
The Non-Uniform k-center (NUkC) problem has recently been formulated by
...
We study four classical graph problems – Hamiltonian path, Traveling
sal...
In this paper, we consider the colorful k-center problem, which is a
gen...
Let S and D each be a set of orthogonal line segments in the plane. A
li...
We consider the Minimum Dominating Set (MDS) problem on the intersection...
We consider the Dominating Set (DS) problem on the intersection graphs o...
The clustering problem, in its many variants, has numerous applications ...