Declarative Relational Machine Learning Systems

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dc.contributor.committeeMemberJermaine, Christopheren_US
dc.contributor.committeeMemberKyrillidis, Anastasiosen_US
dc.contributor.committeeMemberUribe, Cesaren_US
dc.creatorJankov, Dimitrijeen_US
dc.date.accessioned2023-05-24T20:49:11Zen_US
dc.date.available2023-05-24T20:49:11Zen_US
dc.date.created2023-05en_US
dc.date.issued2023-02-22en_US
dc.date.submittedMay 2023en_US
dc.date.updated2023-05-24T20:49:11Zen_US
dc.description.abstractSeveral systems, most notably TensorFlow and PyTorch, have revolutionized how we practice machine learning (ML). They allow an ML practitioner to create complex models with great ease. In recent years there has been an explosion in the size of ML models, and it has become apparent that the systems we use today limit the data scientist to a few standard implementations like data parallelism (DP). In an ideal scenario, the ML practitioner would specify their model, and a system would take care of managing the specifics of the computations. My research explores how we can design and implement such systems. Specifically, it tries to find the right set of changes to a declarative relational system so that it can accommodate the needs of ML systems. The results of my research show that one can create scalable distributed machine learning systems that do not constrain the abilities of data scientists and enable greater productivity.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationJankov, Dimitrije. "Declarative Relational Machine Learning Systems." (2023) Diss., Rice University. <a href="https://hdl.handle.net/1911/114887">https://hdl.handle.net/1911/114887</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/114887en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectRelationalen_US
dc.subjectSystemsen_US
dc.subjectMachine Learningen_US
dc.subjectDeclarativeen_US
dc.titleDeclarative Relational Machine Learning Systemsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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