Minimizers of sparsity regularized robust loss functions

buir.advisorPınar, Mustafa Ç.
dc.contributor.authorAkkaya, Deniz
dc.date.accessioned2021-08-09T07:46:13Z
dc.date.available2021-08-09T07:46:13Z
dc.date.copyright2021-06
dc.date.issued2021-06
dc.date.submitted2021-07-07
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (Master's): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2021.en_US
dc.descriptionIncludes bibliographical references (leaves 52-54).en_US
dc.description.abstractWe study the structure of the local and global minimizers of the Huber loss and the sum of absolute deviations functions regularized with a sparsity penalty L0 norm term. We char-acterize local minimizers for both loss functions, and establish conditions that are necessary and sufficient for local minimizers to be strict. A necessary condition is established for global minimizers, as well as non-emptiness of the set of global minimizers. The sparsity of minimizers is also studied by giving bounds on a regularization parameter controlling sparsity. Results are illustrated in numerical examples.en_US
dc.description.provenanceSubmitted by Betül Özen (ozen@bilkent.edu.tr) on 2021-08-09T07:46:13Z No. of bitstreams: 1 10403292.pdf: 835576 bytes, checksum: 22344fc3542bd085228c7a18d9fa91b6 (MD5)en
dc.description.provenanceMade available in DSpace on 2021-08-09T07:46:13Z (GMT). No. of bitstreams: 1 10403292.pdf: 835576 bytes, checksum: 22344fc3542bd085228c7a18d9fa91b6 (MD5) Previous issue date: 2021-06en
dc.description.statementofresponsibilityby Deniz Akkayaen_US
dc.format.extentviii, 57 leaves : charts ; 30 cm.en_US
dc.identifier.itemidB159354
dc.identifier.urihttp://hdl.handle.net/11693/76413
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSparse solution of linear systemsen_US
dc.subjectRegularizationen_US
dc.subjectLocal minimizeren_US
dc.subjectGlobal mini-mizeren_US
dc.subjectHuber loss functionen_US
dc.subjectL1-normen_US
dc.subjectL0-normen_US
dc.titleMinimizers of sparsity regularized robust loss functionsen_US
dc.title.alternativeSeyrekliği düzenlileştirilmis sağlam kayıp fonksiyonlarına ait küçültücüleren_US
dc.typeThesisen_US
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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