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A Reduction for Optimizing Lattice Submodular Functions with Diminishing Returns

27 June 2016
Alina Ene
Huy Le Nguyen
ArXiv (abs)PDFHTML
Abstract

A function f:Z+E→R+f: \mathbb{Z}_+^E \rightarrow \mathbb{R}_+f:Z+E​→R+​ is DR-submodular if it satisfies f(x+χi)−f(x)≥f(y+χi)−f(y)f({\bf x} + \chi_i) -f ({\bf x}) \ge f({\bf y} + \chi_i) - f({\bf y})f(x+χi​)−f(x)≥f(y+χi​)−f(y) for all x≤y,i∈E{\bf x}\le {\bf y}, i\in Ex≤y,i∈E. Recently, the problem of maximizing a DR-submodular function f:Z+E→R+f: \mathbb{Z}_+^E \rightarrow \mathbb{R}_+f:Z+E​→R+​ subject to a budget constraint ∥x∥1≤B\|{\bf x}\|_1 \leq B∥x∥1​≤B as well as additional constraints has received significant attention \cite{SKIK14,SY15,MYK15,SY16}. In this note, we give a generic reduction from the DR-submodular setting to the submodular setting. The running time of the reduction and the size of the resulting submodular instance depends only \emph{logarithmically} on BBB. Using this reduction, one can translate the results for unconstrained and constrained submodular maximization to the DR-submodular setting for many types of constraints in a unified manner.

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