Publications related to Dynamic Facility Location via Exponential Clocks

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Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach

Volkan Cevher, Ilija Bogunovic, Slobodan Mitrovic, Ashkan Norouzi Fard, Jakub Tarnawski

We study the classical problem of maximizing a monotone submodular function subject to a cardinality constraint k, with two additional twists: (i) elements arrive in a streaming fashion and (ii) m items from the algorithm’s memory might be removed after th ...

2017

Maximizing Symmetric Submodular Functions

Moran Feldman

Symmetric submodular functions are an important family of submodular functions capturing many interesting cases, including cut functions of graphs and hypergraphs. Maximization of such functions subject to various constraints receives little attention by c ...

Association for Computing Machinery2017

A Bi-Criteria Approximation Algorithm for k-Means

Justin Dean Ward

We consider the classical k-means clustering problem in the setting of bi-criteria approximation, in which an algorithm is allowed to output beta*k > k clusters, and must produce a clustering with cost at most alpha times the to the cost of the optimal set ...

Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik2016

Approximation algorithms for geometric dispersion

Alfonso Bolívar Cevallos Manzano

The most basic form of the max-sum dispersion problem (MSD) is as follows: given n points in R^q and an integer k, select a set of k points such that the sum of the pairwise distances within the set is maximal. This is a prominent diversity problem, with w ...

EPFL2016

Quasi-Polynomial Local Search for Restricted Max-Min Fair Allocation

Ola Nils Anders Svensson, Lukas Polacek

The restricted max-min fair allocation problem (also known as the restricted Santa Claus problem) is one of few problems that enjoys the intriguing status of having a better estimation algorithm than approximation algorithm. Indeed, Asadpour et al. [2012] ...

Assoc Computing Machinery2016

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

Nikolaos Geroliminis, Mohammadreza Saeedmanesh

Aggregated network level modeling and control of traffic in urban networks have recently gained a lot of interest due to unpredictability of travel behaviors and high complexity of physical modeling in microscopic level. Recent research has shown the exist ...

Elsevier2016

Submodular Stochastic Probing on Matroids

Justin Dean Ward, Marek Adamczyk

In a stochastic probing problem we are given a universe E, and a probability that each element e in E is active. We determine if an element is active by probing it, and whenever a probed element is active, we must permanently include it in our solution. Mo ...

INFORMS2016

Subspace Acceleration For Large-Scale Parameter-Dependent Hermitian Eigenproblems

Daniel Kressner, Petar Sirkovic

This work is concerned with approximating the smallest eigenvalue of a parameter-dependent Hermitian matrix A(mu) for many parameter values mu in a domain D subset of R-P. The design of reliable and efficient algorithms for addressing this task is of impor ...

Siam Publications2016

Dynamic Facility Location via Exponential Clocks

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Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach

Maximizing Symmetric Submodular Functions

Efficient Linear Programming for Dense CRFs

A Bi-Criteria Approximation Algorithm for k-Means

Approximation algorithms for geometric dispersion

Quasi-Polynomial Local Search for Restricted Max-Min Fair Allocation

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

On aggregative and mean field games with applications to electricity markets

Submodular Stochastic Probing on Matroids

Subspace Acceleration For Large-Scale Parameter-Dependent Hermitian Eigenproblems

A Bi-Criteria Approximation Algorithm for k-Means

Quasi-Polynomial Local Search for Restricted Max-Min Fair Allocation

Approximation algorithms for geometric dispersion

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

On aggregative and mean field games with applications to electricity markets

Subspace Acceleration For Large-Scale Parameter-Dependent Hermitian Eigenproblems

Submodular Stochastic Probing on Matroids

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach

Maximizing Symmetric Submodular Functions

Efficient Linear Programming for Dense CRFs