Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/171693
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dc.titleSynthetic Tabular Data Generation with Oblivious Variational Autoencoders : Alleviating the Paucity of Personal Tabular Data for Open Research
dc.contributor.authorSTANLEY KOK
dc.contributor.authorLAKKAMANENI VIVEK HARSHA VARDHAN
dc.date.accessioned2020-07-24T07:19:09Z
dc.date.available2020-07-24T07:19:09Z
dc.date.issued2020-07-17
dc.identifier.citationSTANLEY KOK, LAKKAMANENI VIVEK HARSHA VARDHAN (2020-07-17). Synthetic Tabular Data Generation with Oblivious Variational Autoencoders : Alleviating the Paucity of Personal Tabular Data for Open Research. ICML Workshop on Healthcare Systems, Population Health, and the Role of Health-Tech. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/171693
dc.sourceElements
dc.typeConference Paper
dc.date.updated2020-07-23T09:28:37Z
dc.contributor.departmentDEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS
dc.description.sourcetitleICML Workshop on Healthcare Systems, Population Health, and the Role of Health-Tech
dc.published.statePublished
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