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dc.contributor.authorHazimeh, Hussein
dc.contributor.authorPonomareva, Natalia
dc.contributor.authorMol, Petros
dc.contributor.authorTan, Zhenyu
dc.contributor.authorMazumder, Rahul
dc.date.accessioned2022-08-04T14:57:17Z
dc.date.available2022-08-04T14:57:17Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/144215
dc.language.isoen
dc.relation.isversionofhttps://proceedings.mlr.press/v119/hazimeh20a.htmlen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceProceedings of Machine Learning Researchen_US
dc.titleThe Tree Ensemble Layer: Differentiability meets Conditional Computationen_US
dc.typeArticleen_US
dc.identifier.citationHazimeh, Hussein, Ponomareva, Natalia, Mol, Petros, Tan, Zhenyu and Mazumder, Rahul. 2020. "The Tree Ensemble Layer: Differentiability meets Conditional Computation." INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 119, 119.
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center
dc.contributor.departmentSloan School of Management
dc.relation.journalINTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 119en_US
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.updated2022-08-04T14:51:58Z
dspace.orderedauthorsHazimeh, H; Ponomareva, N; Mol, P; Tan, Z; Mazumder, Ren_US
dspace.date.submission2022-08-04T14:52:00Z
mit.journal.volume119en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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