Mixability in Statistical Learning

Simple item page
dc.contributor.authorvan Erven, Tim
dc.contributor.authorGrunwald, Peter
dc.contributor.authorReid, Mark
dc.contributor.authorWilliamson, Robert
dc.contributor.editorBartlett, P.
dc.coverage.spatialLake Tahoe Nevada USA
dc.date.accessioned2015-12-10T23:16:37Z
dc.date.createdDecember 3-6 2012
dc.date.issued2012
dc.date.updated2019-05-19T08:21:29Z
dc.description.abstractStatistical learning and sequential prediction are two different but related formalisms to study the quality of predictions. Mapping out their relations and transferring ideas is an active area of investigation. We provide another piece of the puzzle by s
dc.identifier.isbn9781627480031
dc.identifier.urihttp://hdl.handle.net/1885/65142
dc.publisherNeural Information Processing Systems Foundation
dc.relation.ispartofseriesNeural Information Processing Systems Conference (NIPS 2012)
dc.rightsAuthor/s retain copyright
dc.sourceNEURAL INFORMATION PROCESSING SYSTEMS. Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012
dc.source.urihttp://www.proceedings.com/17576.html
dc.source.urihttp://papers.nips.cc/paper/4835-mixability-in-statistical-learning
dc.subjectKeywords: Active area; Bayesian inference; Convergence theorem; Fast rate; Minimum description length; Quality of predictions; Sequential prediction; Statistical learning; Bayesian networks; Inference engines; Stochastic systems; Forecasting
dc.titleMixability in Statistical Learning
dc.typeConference paper
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage13
local.bibliographicCitation.startpage1
local.contributor.affiliationvan Erven, Tim, Universite Paris-Sud
local.contributor.affiliationGrunwald, Peter, CWI (National Research Institute for math. and CS. In the Netherlands)
local.contributor.affiliationReid, Mark, College of Engineering and Computer Science, ANU
local.contributor.affiliationWilliamson, Robert, College of Engineering and Computer Science, ANU
local.contributor.authoremailu4466898@anu.edu.au
local.contributor.authoruidReid, Mark, u4466898
local.contributor.authoruidWilliamson, Robert, u9000163
local.description.notesImported from ARIES
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1058
local.identifier.scopusID2-s2.0-84877768099
local.identifier.uidSubmittedByu4334215
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_van Erven_Mixability_in_Statistical_2012.pdf
Size:
318.07 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2024 LYRASIS