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dc.contributor.authorBakshi, Ainesh
dc.contributor.authorLiu, Allen
dc.contributor.authorMoitra, Ankur
dc.contributor.authorYau, Morris
dc.date.accessioned2023-07-10T16:25:48Z
dc.date.available2023-07-10T16:25:48Z
dc.date.issued2023-06-02
dc.identifier.isbn978-1-4503-9913-5
dc.identifier.urihttps://hdl.handle.net/1721.1/151057
dc.publisherACM|Proceedings of the 55th Annual ACM Symposium on Theory of Computingen_US
dc.relation.isversionofhttps://doi.org/10.1145/3564246.3585247en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleA New Approach to Learning Linear Dynamical Systemsen_US
dc.typeArticleen_US
dc.identifier.citationBakshi, Ainesh, Liu, Allen, Moitra, Ankur and Yau, Morris. 2023. "A New Approach to Learning Linear Dynamical Systems."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematics
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-07-01T07:53:53Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-07-01T07:53:53Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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