Online algorithms for submodular minimization with combinatorial constraints

Jegelka, S; Bilmes, J

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Online algorithms for submodular minimization with combinatorial constraints

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Jegelka, S
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Jegelka, S., & Bilmes, J. (2010). Online algorithms for submodular minimization with combinatorial constraints. In NIPS 2010 Workshop on Discrete Optimization in Machine Learning: Structures, Algorithms and Applications (DISCML) (pp. 1-6).

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-BD38-F

Abstract

Building on recent results for submodular minimization with combinatorial constraints, and on online submodular minimization, we address online approximation
algorithms for submodular minimization with combinatorial constraints. We discuss two types of algorithms and outline approximation algorithms that integrate into those.