{"id":"https://openalex.org/W2054333436","doi":"https://doi.org/10.1145/2339530.2339550","title":"Practical collapsed variational bayes inference for hierarchical dirichlet process","display_name":"Practical collapsed variational bayes inference for hierarchical dirichlet process","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2054333436","doi":"https://doi.org/10.1145/2339530.2339550","mag":"2054333436"},"language":"en","primary_location":{"id":"doi:10.1145/2339530.2339550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060421432","display_name":"Issei Sato","orcid":"https://orcid.org/0000-0002-5066-1435"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Issei Sato","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111730565","display_name":"Kenichi Kurihara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenichi Kurihara","raw_affiliation_strings":["Google, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Google, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020912760","display_name":"Hiroshi Nakagawa","orcid":"https://orcid.org/0000-0002-3024-9136"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Nakagawa","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060421432"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":5.9938,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96148727,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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/T10136","display_name":"Statistical Methods and Inference","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9656999707221985,"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/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.8422759175300598},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.830767035484314},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7954452037811279},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.7126692533493042},{"id":"https://openalex.org/keywords/dirichlet-process","display_name":"Dirichlet process","score":0.6530551910400391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6125547885894775},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.47500288486480713},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4643711447715759},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.4636259078979492},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45402154326438904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43670180439949036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.435075581073761},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3672561049461365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30070948600769043},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.25909560918807983},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.1869092583656311}],"concepts":[{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.8422759175300598},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.830767035484314},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7954452037811279},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.7126692533493042},{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.6530551910400391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6125547885894775},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.47500288486480713},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4643711447715759},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.4636259078979492},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45402154326438904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43670180439949036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.435075581073761},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3672561049461365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30070948600769043},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.25909560918807983},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.1869092583656311},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2339530.2339550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W75368837","https://openalex.org/W190008395","https://openalex.org/W1575299154","https://openalex.org/W1880262756","https://openalex.org/W1915315806","https://openalex.org/W1986188181","https://openalex.org/W1993383916","https://openalex.org/W2025653016","https://openalex.org/W2042980227","https://openalex.org/W2055421030","https://openalex.org/W2072169887","https://openalex.org/W2072644219","https://openalex.org/W2073792299","https://openalex.org/W2091797506","https://openalex.org/W2098401485","https://openalex.org/W2099808310","https://openalex.org/W2100802943","https://openalex.org/W2103587173","https://openalex.org/W2108614537","https://openalex.org/W2109154616","https://openalex.org/W2110558001","https://openalex.org/W2111708605","https://openalex.org/W2113601767","https://openalex.org/W2129891468","https://openalex.org/W2130428211","https://openalex.org/W2135790056","https://openalex.org/W2140124448","https://openalex.org/W2145767445","https://openalex.org/W2150731624","https://openalex.org/W2156693754","https://openalex.org/W2157339239","https://openalex.org/W2157906684","https://openalex.org/W2158266063","https://openalex.org/W2161353674","https://openalex.org/W2162152253","https://openalex.org/W2163021329","https://openalex.org/W2165599843","https://openalex.org/W2165636119","https://openalex.org/W2187741934","https://openalex.org/W2596585349","https://openalex.org/W2597289420","https://openalex.org/W2963683999","https://openalex.org/W2990138404","https://openalex.org/W3120740533","https://openalex.org/W4299828299","https://openalex.org/W6607826182","https://openalex.org/W6637242313","https://openalex.org/W6668441267","https://openalex.org/W6675301171","https://openalex.org/W6676623326","https://openalex.org/W6681701252","https://openalex.org/W6683215398","https://openalex.org/W6683847445","https://openalex.org/W6684489972"],"related_works":["https://openalex.org/W3121467232","https://openalex.org/W2393894849","https://openalex.org/W2107192713","https://openalex.org/W2027714503","https://openalex.org/W2544994990","https://openalex.org/W2293157519","https://openalex.org/W3190171609","https://openalex.org/W2118036030","https://openalex.org/W1531847006","https://openalex.org/W2170902875"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"novel":[3],"collapsed":[4],"variational":[5],"Bayes":[6],"(CVB)":[7],"inference":[8,19],"for":[9,20,38],"the":[10,16,21,40],"hierarchical":[11],"Dirichlet":[12,26],"process":[13],"(HDP).":[14],"While":[15],"existing":[17],"CVB":[18],"HDP":[22],"variant":[23],"of":[24],"latent":[25],"allocation":[27],"(LDA)":[28],"is":[29,43],"more":[30],"complicated":[31],"and":[32,61],"harder":[33],"to":[34,45,52,58],"implement":[35],"than":[36],"that":[37],"LDA,":[39],"proposed":[41],"algorithm":[42],"simple":[44],"implement,":[46],"does":[47,55],"not":[48,56],"require":[49],"variance":[50],"counts":[51],"be":[53],"maintained,":[54],"need":[57],"set":[59],"hyper-parameters,":[60],"has":[62],"good":[63],"predictive":[64],"performance.":[65]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}