In the Continuous Steiner Tree problem (CST), we are given as input a se...
We study the fundamental problem of finding the best string to represent...
Over the last few years Explainable Clustering has gathered a lot of
att...
Over the last three decades, researchers have intensively explored vario...
There has been a long-standing interest in computing diverse solutions t...
The k-Clique problem is a canonical hard problem in parameterized comple...
We consider the classic 1-center problem: Given a set P of n points in a...
K-median and k-means are the two most popular objectives for clustering
...
In this paper, we show how one may (efficiently) construct two types of
...
The k-means objective is arguably the most widely-used cost function for...
In the (k,h)-SetCover problem, we are given a collection 𝒮 of
sets over ...
A classic problem in unsupervised learning and data analysis is to find
...
In this article, we provide a unified and simplified approach to derando...
Parameterization and approximation are two popular ways of coping with
N...
Brouwer's fixed point theorem states that any continuous function from a...
The k-Even Set problem is a parameterized variant of the Minimum Distanc...
In this paper, we prove a general hardness amplification scheme for
opti...
The Direct Product encoding of a string a∈{0,1}^n on an underlying
domai...
Given a set of n points in R^d, the (monochromatic) Closest Pair
proble...
The k-Even Set problem is a parameterized variant of the Minimum Distanc...
We study the parameterized complexity of approximating the k-Dominating ...