We consider the budget allocation problem over bipartite influence model proposed by Alon et al. (Alon et al., 2012). This problem can be viewed as the well-known influence maximiza-tion problem with budget constraints. We first show that this problem and its much more general form fall into a general setting; namely the monotone submodular function max-imization over integer lattice subject to a knap-sack constraint. Our framework includes Alon et al.’s model, even with a competitor and with cost. We then give a (1 − 1/e)-approximation algorithm for this more general problem. Furthermore, when influence probabili
Budget feasible mechanisms, recently initiated by Singer (FOCS 2010), extend algorithmic mech-anism ...
A litany of questions from a wide variety of scientific disciplines can be cast as non-monotone subm...
The problem of maximizing a constrained monotone set function has many practical applications and ge...
We consider the budget allocation problem over bipartite influence model proposed by Alon et al. (Al...
We consider at the problem of optimal budget allocation, where we are given a fixed budget to distri...
The budgeted influence maximization problem is a challenging stochastic optimization problem defined...
The greedy algorithm for monotone submodular function maximization subject to cardinality constraint...
In recent years, the issue of maximizing submodular functions has attracted much interest from resea...
We consider the maximization of a gross substitutes utility function under budget constraints. This ...
The typical algorithmic problem in viral marketing aims to identify a set of influential users in a ...
This paper considers the multiset selection problem with size constraints, which arises in many real...
Abstract: "Many set functions F in combinatorial optimization satisfy the diminishing returns proper...
Continuous influence maximization (CIM) generalizes the original influence maximization by incorpora...
In this paper we consider a generalization of the well-known budgeted maximum coverage problem. We a...
We study the worst-case adaptive optimization problem with budget constraint that is useful for mode...
Budget feasible mechanisms, recently initiated by Singer (FOCS 2010), extend algorithmic mech-anism ...
A litany of questions from a wide variety of scientific disciplines can be cast as non-monotone subm...
The problem of maximizing a constrained monotone set function has many practical applications and ge...
We consider the budget allocation problem over bipartite influence model proposed by Alon et al. (Al...
We consider at the problem of optimal budget allocation, where we are given a fixed budget to distri...
The budgeted influence maximization problem is a challenging stochastic optimization problem defined...
The greedy algorithm for monotone submodular function maximization subject to cardinality constraint...
In recent years, the issue of maximizing submodular functions has attracted much interest from resea...
We consider the maximization of a gross substitutes utility function under budget constraints. This ...
The typical algorithmic problem in viral marketing aims to identify a set of influential users in a ...
This paper considers the multiset selection problem with size constraints, which arises in many real...
Abstract: "Many set functions F in combinatorial optimization satisfy the diminishing returns proper...
Continuous influence maximization (CIM) generalizes the original influence maximization by incorpora...
In this paper we consider a generalization of the well-known budgeted maximum coverage problem. We a...
We study the worst-case adaptive optimization problem with budget constraint that is useful for mode...
Budget feasible mechanisms, recently initiated by Singer (FOCS 2010), extend algorithmic mech-anism ...
A litany of questions from a wide variety of scientific disciplines can be cast as non-monotone subm...
The problem of maximizing a constrained monotone set function has many practical applications and ge...