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Submodular Function Minimization
Funções submodulares aparecem naturalmente em diversas áreas, tais como probabilidade, geometria e otimização combinatória. Pode-se dizer que o papel desempenhado por essas funções em otimização discreta é similar ao desempenhado por convexidade em ...
Simão, Juliana Barby
core
Extended Deep Submodular Functions
We introduce a novel category of set functions called Extended Deep Submodular functions (EDSFs), which are neural network-representable. EDSFs serve as an extension of Deep Submodular Functions (DSFs), inheriting crucial properties from DSFs while addressing innate limitations.
Seyed Mohammad Hosseini +4 more
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Fast semidifferential-based submodular function optimization
We present a practical and powerful new framework for both unconstrained and constrained submodular function optimization based on discrete semidifferentials (sub- and super-differentials).
Rishabh Iyer +2 more
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Decomposable submodular function minimization: discrete and continuous
This paper investigates connections between discrete and continuous approaches for decomposable submodular function minimization. We provide improved running time estimates for the state-of-the-art continuous algorithms for the problem using ...
Nguyen, Huy +2 more
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Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach [PDF]
We study the classical problem of maximizing a monotone submodular function subject to a cardinality constraint k, with two additional twists: (i) elements arrive in a streaming fashion and (ii) m items from the algorithm’s memory might be removed after ...
Mitrovic, Slobodan +4 more
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Towards Minimizing k-Submodular Functions
In this paper we investigate k-submodular functions. This natural family of discrete functions includes submodular and bisubmodular functions as the special cases k = 1 and k = 2 respectively.
Anna Huber +3 more
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Hypergraphic submodular function minimization
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Submodular functions and optimization
It has widely been recognized that submodular functions play essential roles in efficiently solvable combinatorial optimization problems. Since the publication of the 1st edition of this book fifteen years ago, submodular functions have been showing ...
Fujishige, Satoru
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Submodular functions and some applications
En este trabajo se hace una investigación sobre las funciones submodulares, tomando como base el estudio realizado por Satoru Fujishije [7]. Se estudian los conceptos de polimatroide y sistema submodular exhibiendo conjuntamente algunos ejemplos.
Gómez Ríos, Arley Ramses
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Risk-Sensitive Submodular Optimization
The conditional value at risk (CVaR) is a popular risk measure which enables risk-averse decision making under uncertainty. We consider maximizing the CVaR of a continuous submodular function, an extension of submodular set functions to a continuous ...
Wilder, Bryan
core +1 more source

