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Streaming Adaptive Submodular Maximization

  • University of North Texas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Many sequential decision making problems can be formulated as an adaptive submodular maximization problem. However, most of existing studies in this field focus on pool-based setting, where one can pick items in any order, and there have been few studies for the stream-based setting where items arrive in an arbitrary order and one must immediately decide whether to select an item or not upon its arrival. In this paper, we introduce a new class of utility functions, semi-policywise submodular functions. We develop a series of effective algorithms to maximize a semi-policywise submodular function under the stream-based setting.

Original languageEnglish
Title of host publicationAlgorithmic Aspects in Information and Management - 16th International Conference, AAIM 2022, Proceedings
EditorsQiufen Ni, Weili Wu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages109-120
Number of pages12
ISBN (Print)9783031160806
DOIs
StatePublished - 2022
Event16th International Conference on Algorithmic Aspects in Information and Management, AAIM 2022 - Virtual, Online
Duration: Aug 13 2022Aug 14 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13513 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Algorithmic Aspects in Information and Management, AAIM 2022
CityVirtual, Online
Period08/13/2208/14/22

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