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20112023
most citedSubmodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications

48 citations · 282 across the 41 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.DS2020★ 8 cited

How Do You Want Your Greedy: Simultaneous or Repeated?

Moran Feldman, Christopher Harshaw, Amin Karbasi

We present SimultaneousGreedys, a deterministic algorithm for constrained submodular maximization. At a high level, the algorithm maintains solutions and greedily updates th…

cs.DS2020★ 2 cited

Continuous Submodular Maximization: Beyond DR-Submodularity

Moran Feldman, Amin Karbasi

In this paper, we propose the first continuous optimization algorithms that achieve a constant factor approximation guarantee for the problem of monotone continuous submodular maxi…

cs.DS2020★ 2 cited

Submodular Maximization in Clean Linear Time

Wenxin Li, Moran Feldman, Ehsan Kazemi +1

In this paper, we provide the first deterministic algorithm that achieves the tight approximation guarantee for submodular maximization under a cardinality (size) constrain…

cs.DS2020★ 1 cited

The One-way Communication Complexity of Submodular Maximization with Applications to Streaming and Robustness

Moran Feldman, Ashkan Norouzi-Fard, Ola Svensson +1

We consider the classical problem of maximizing a monotone submodular function subject to a cardinality constraint, which, due to its numerous applications, has recently been studi…

cs.LG2020★ 16 cited

Regularized Submodular Maximization at Scale

Ehsan Kazemi, Shervin Minaee, Moran Feldman +1

In this paper, we propose scalable methods for maximizing a regularized submodular function expressed as the difference between a monotone submodular function an…

cs.DS2020★ 6 cited

Streaming Submodular Maximization under a -Set System Constraint

Ran Haba, Ehsan Kazemi, Moran Feldman +1

In this paper, we propose a novel framework that converts streaming algorithms for monotone submodular maximization into streaming algorithms for non-monotone submodular maximizati…