{"id":"https://openalex.org/W2346008075","doi":"https://doi.org/10.1109/isit.2016.7541406","title":"Low-complexity stochastic Generalized Belief Propagation","display_name":"Low-complexity stochastic Generalized Belief Propagation","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2346008075","doi":"https://doi.org/10.1109/isit.2016.7541406","mag":"2346008075"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1605.02046","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075332665","display_name":"Farzin Haddadpour","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Farzin Haddadpour","raw_affiliation_strings":["Electrical Engineering Department, Sharif University of Technology, Iran","Electrical Engineering Department, Sharif University of Technology, Iran#TAB#"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Electrical Engineering Department, Sharif University of Technology, Iran#TAB#","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005484703","display_name":"Mahdi Jafari Siavoshani","orcid":"https://orcid.org/0000-0003-3860-5999"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahdi Jafari Siavoshani","raw_affiliation_strings":["Computer Engineering Department, Sharif University of Technology, Iran"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Sharif University of Technology, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110030120","display_name":"Morteza Noshad","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Morteza Noshad","raw_affiliation_strings":["Electrical Engineering and Computer Science Department, University of Michigan, United States"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science Department, University of Michigan, United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075332665"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03542356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"785","last_page":"789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.8043653964996338},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6359519958496094},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5640166401863098},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5213252902030945},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48871278762817383},{"id":"https://openalex.org/keywords/alphabet","display_name":"Alphabet","score":0.4837346374988556},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.46104496717453003},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4470771849155426},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.43211814761161804},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4150583744049072},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3602248430252075},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.35756951570510864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35102903842926025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.25241124629974365},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12804245948791504},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07559800148010254}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.8043653964996338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6359519958496094},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5640166401863098},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5213252902030945},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48871278762817383},{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.4837346374988556},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.46104496717453003},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4470771849155426},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.43211814761161804},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4150583744049072},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3602248430252075},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.35756951570510864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35102903842926025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25241124629974365},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12804245948791504},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07559800148010254},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/isit.2016.7541406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1605.02046","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.02046","pdf_url":"https://arxiv.org/pdf/1605.02046","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2346008075","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1605.02046.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1605.02046","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1605.02046","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1605.02046","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.02046","pdf_url":"https://arxiv.org/pdf/1605.02046","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2346008075.pdf","grobid_xml":"https://content.openalex.org/works/W2346008075.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W368930748","https://openalex.org/W1483307070","https://openalex.org/W1545898854","https://openalex.org/W1728061942","https://openalex.org/W1984136080","https://openalex.org/W2002240881","https://openalex.org/W2047408445","https://openalex.org/W2071918243","https://openalex.org/W2108133817","https://openalex.org/W2118997898","https://openalex.org/W2133442732","https://openalex.org/W2137813581","https://openalex.org/W2148877605","https://openalex.org/W2150859678","https://openalex.org/W2152001538","https://openalex.org/W2158216791","https://openalex.org/W2159080219","https://openalex.org/W2160337655","https://openalex.org/W2165949176","https://openalex.org/W2169415915","https://openalex.org/W2171100571","https://openalex.org/W2962687641","https://openalex.org/W6632679229","https://openalex.org/W6637778417","https://openalex.org/W6676039426","https://openalex.org/W6677971723","https://openalex.org/W6682192342","https://openalex.org/W6683608245","https://openalex.org/W6712758081"],"related_works":["https://openalex.org/W2019422961","https://openalex.org/W2951755121","https://openalex.org/W2026992031","https://openalex.org/W26749223","https://openalex.org/W2101370939","https://openalex.org/W2167149929","https://openalex.org/W2031569119","https://openalex.org/W2922188694","https://openalex.org/W2551264020","https://openalex.org/W3171841350","https://openalex.org/W2557150367","https://openalex.org/W3099044538","https://openalex.org/W2524027923","https://openalex.org/W2971899460","https://openalex.org/W1995323604","https://openalex.org/W2291027669","https://openalex.org/W2976508812","https://openalex.org/W2155852402","https://openalex.org/W3011567503","https://openalex.org/W2086055782"],"abstract_inverted_index":{"The":[0],"generalized":[1,81],"belief":[2,15,82],"propagation":[3,16,83],"(GBP),":[4],"introduced":[5,98],"by":[6,99,115,139,180,189],"Yedidia":[7],"et":[8,101,191],"al.,":[9,192],"is":[10,20,65],"an":[11,90,116],"extension":[12,91],"of":[13,33,46,50,77,113,118,158,173,205],"the":[14,44,93,109,130,140,171,202,208,221,227],"(BP)":[17],"algorithm,":[18],"which":[19],"widely":[21],"used":[22],"in":[23,27,67,120,160],"different":[24],"problems":[25],"involved":[26],"calculating":[28],"exact":[29],"or":[30],"approximate":[31],"marginals":[32],"probability":[34,229],"distributions.":[35],"In":[36,69,123,163],"many":[37],"problems,":[38],"it":[39],"has":[40],"been":[41],"observed":[42],"that":[43,49,85,106,176],"accuracy":[45],"GBP":[47,78,210],"outperforms":[48],"BP":[51,95,114],"considerably.":[52],"However,":[53,148],"due":[54],"to":[55,61,92,125,144,207],"its":[56,63],"generally":[57],"higher":[58],"complexity":[59,110,132,174],"compared":[60],"BP,":[62],"application":[64],"limited":[66],"practice.":[68],"this":[70,149,164],"paper,":[71,165],"we":[72,166,200],"introduce":[73],"a":[74,145],"stochastic":[75,80,94],"version":[76],"called":[79],"(SGBP)":[84],"can":[86,128,151,178],"be":[87,152],"considered":[88],"as":[89,213,215],"(SBP)":[96],"algorithm":[97],"Noorshams":[100,190],"al.":[102],"They":[103],"have":[104],"shown":[105],"SBP":[107],"reduces":[108],"per":[111],"iteration":[112],"order":[117,157],"magnitude":[119,159],"alphabet":[121,161],"size.":[122,162],"contrast":[124],"SBP,":[126],"SGBP":[127,206],"reduce":[129],"computation":[131],"if":[133],"certain":[134],"topological":[135],"conditions":[136,169],"are":[137],"met":[138],"region":[141],"graph":[142],"associated":[143],"graphical":[146,195],"model.":[147],"reduction":[150],"larger":[153],"than":[154],"only":[155],"one":[156,177],"characterize":[167],"these":[168],"and":[170,225],"amount":[172],"gain":[175],"obtain":[179],"using":[181,184],"SGBP.":[182],"Finally,":[183],"similar":[185],"proof":[186],"techniques":[187],"employed":[188],"for":[193],"general":[194],"models":[196],"satisfy":[197],"contraction":[198],"conditions,":[199],"prove":[201],"asymptotic":[203],"convergence":[204],"unique":[209],"fixed":[211],"point,":[212],"well":[214],"providing":[216],"non-asymptotic":[217],"upper":[218],"bounds":[219],"on":[220,226],"mean":[222],"square":[223],"error":[224],"high":[228],"error.":[230]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
