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We consider the problem of maximizing a monotone submodular function subject to a knapsack constraint.
Maximising real-valued submodular functions: Primal and dual heuristics for location problems
L. A. Wolsey · 1982
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The budgeted maximum coverage problem
S. Khuller, A. Moss, and J. S. Naor · 1999
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Maximizing the spread of influence through a social network
D. Kempe, J. M. Kleinberg, and É. Tardos · 2003
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A note on maximizing a submodular set function subject to a knapsack constraint
M. Sviridenko · 2004
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Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies
A. Krause, A. P. Singh, and C. Guestrin · 2008
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Budgeted nonparametric learning from data streams
R. Gomes and A. Krause · 2010
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Multi-document summarization via budgeted maximization of submodular functions
H. Lin and J. A. Bilmes · 2010
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Submodularity beyond submodular energies: Coupling edges in graph cuts
S. Jegelka and J. A. Bilmes · 2011
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Revenue submodularity
S. Dughmi, T. Roughgarden, and M. Sundararajan · 2012
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Approximations for monotone and nonmonotone submodular maximization with knapsack constraints
A. Kulik, H. Shachnai, and T. Tamir · 2013
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Fast algorithms for maximizing submodular functions
A. Badanidiyuru and J. Vondrák · 2014
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Maximizing a monotone submodular function with a bounded curvature under a knapsack constraint
Y. Yoshida · 2016
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