Results 11 to 20 of about 11,336 (151)
Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions [PDF]
, 2015 The Adaptive Seeding problem is an algorithmic challenge motivated by influence maximization in social networks: One seeks to select among certain accessible nodes in a network, and then select, adaptively, among neighbors of those nodes as they become ...
Badanidiyuru, Ashwinkumar +4 more
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Parallelizing greedy for submodular set function maximization in matroids and beyond [PDF]
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019 We consider parallel, or low adaptivity, algorithms for submodular function maximization. This line of work was recently initiated by Balkanski and Singer and has already led to several interesting results on the cardinality constraint and explicit packing constraints.
Chandra Chekuri, Kent Quanrud
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Maximizing submodular set function with connectivity constraint: Theory and application to networks [PDF]
2013 Proceedings IEEE INFOCOM, 2013 In this paper, we investigate the wireless network deployment problem, which seeks the best deployment of a given limited number of wireless routers. We found that many goals for network deployment, such as maximizing the number of covered users or areas, or the total throughput of the network, can be modelled with the submodular set function ...
Tung-Wei Kuo +2 more
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Submodular Optimization with Contention Resolution Extensions [PDF]
, 2019 This paper considers optimizing a submodular function subject to a set of downward closed constraints. Previous literature on this problem has often constructed solutions by (1) discovering a fractional solution to the multi-linear extension and (2 ...
Moseley, Benjamin, Sviridenko, Maxim
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Symmetric Submodular Function Minimization Under Hereditary Family Constraints
, 2010 We present an efficient algorithm to find non-empty minimizers of a symmetric submodular function over any family of sets closed under inclusion. This for example includes families defined by a cardinality constraint, a knapsack constraint, a matroid ...
Goemans, Michel X., Soto, José A.
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A simple combinatorial algorithm for submodular function minimization [PDF]
, 2009 This paper presents a new simple algorithm for minimizing submodular functions. For integer valued submodular functions, the algorithm runs in O(n6EO log nM) [O (n superscript 6 E O log nM)] time, where n is the cardinality of the ground set, M is the ...
Iwata, Satoru, Orlin, James B.
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Shaping Level Sets with Submodular Functions
CoRR, 2010 We consider a class of sparsity-inducing regularization terms based on submodular functions. While previous work has focused on non-decreasing functions, we explore symmetric submodular functions and their \lova extensions. We show that the Lovasz extension may be seen as the convex envelope of a function that depends on level sets (i.e., the set of ...
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Submodularity of a Set Label Disagreement Function
CoRR, 2013 A set label disagreement function is defined over the number of variables that deviates from the dominant label. The dominant label is the value assumed by the largest number of variables within a set of binary variables. The submodularity of a certain family of set label disagreement function is discussed in this manuscript. Such disagreement function
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, 2015 We address the problem of maximizing an unknown submodular function that can only be accessed via noisy evaluations. Our work is motivated by the task of summarizing content, e.g., image collections, by leveraging users' feedback in form of clicks or ...
Krause, Andreas +2 more
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Mechanism Design via Correlation Gap [PDF]
, 2010 For revenue and welfare maximization in single-dimensional Bayesian settings, Chawla et al. (STOC10) recently showed that sequential posted-price mechanisms (SPMs), though simple in form, can perform surprisingly well compared to the optimal mechanisms ...
Yan, Qiqi
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