Multiple TSP (mTSP) is a important variant of TSP where
a set of k sales...
We consider the Max-3-Section problem, where we are given an undirected
...
The classic facility location problem seeks to open a set of facilities ...
Determinant maximization provides an elegant generalization of problems ...
In online sales, sellers usually offer each potential buyer a posted pri...
Determinant maximization problem gives a general framework that models
p...
We study approximation algorithms for the socially fair (ℓ_p,
k)-cluster...
Online advertising has motivated interest in online selection problems.
...
Motivated by bursty bandwidth allocation and by the allocation of virtua...
Given vectors v_1,…,v_n∈ℝ^d and a matroid M=([n],I), we
study the proble...
Submodular maximization has been widely studied over the past decades, m...
We give a characterization result for the integrality gap of the natural...
Motivated by the use of high speed circuit switches in large scale data
...
We model "fair" dimensionality reduction as an optimization problem. A
c...
Semidefinite programming is a powerful tool in the design and analysis o...
We investigate whether the standard dimensionality reduction technique o...
Cloud computing has motivated renewed interest in resource allocation
pr...
In this work, we consider robust submodular maximization with matroid
co...
Experimental design is a classical problem in statistics and has also fo...
We study the A-optimal design problem where we are given vectors
v_1,......