Open Research

Convex Foundations for generalized MaxEnt Models

dc.contributor.author	Frongillo, Rafael
dc.contributor.author	Reid, Mark
dc.contributor.editor	Robert K. Niven
dc.contributor.editor	Brendon Brewer
dc.contributor.editor	David Paull
dc.contributor.editor	Kamran Shafi
dc.contributor.editor	Barrie Stoke
dc.coverage.spatial	Canberra, Australia
dc.date.accessioned	2015-12-10T23:25:17Z
dc.date.created	15-20 December 2013
dc.identifier.isbn	9780735412750
dc.identifier.uri	http://hdl.handle.net/1885/67567
dc.publisher	AIP Publishing LLC
dc.relation.ispartofseries	33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2013)
dc.source	BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2013)
dc.source.uri	http://scitation.aip.org/content/aip/proceeding/aipcp/1636
dc.title	Convex Foundations for generalized MaxEnt Models
dc.type	Conference paper
local.description.notes	Imported from ARIES
local.description.refereed	Yes
dc.date.issued	2014
local.identifier.absfor	080202 - Applied Discrete Mathematics
local.identifier.ariespublication	u4334215xPUB1478
local.type.status	Published Version
local.contributor.affiliation	Frongillo, Rafael, Microsoft Research
local.contributor.affiliation	Reid, Mark, College of Engineering and Computer Science, ANU
local.description.embargo	2037-12-31
local.bibliographicCitation.startpage	11
local.bibliographicCitation.lastpage	16
local.identifier.doi	10.1063/1.4903703
local.identifier.absseo	970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated	2019-05-19T08:21:30Z
local.identifier.thomsonID	000346068800002
Collections	ANU Research Publications

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