{"id":"https://openalex.org/W2266250663","doi":"https://doi.org/10.1007/s00180-019-00891-1","title":"DOLDA: a regularized supervised topic model for high-dimensional multi-class regression","display_name":"DOLDA: a regularized supervised topic model for high-dimensional multi-class regression","publication_year":2019,"publication_date":"2019-06-12","ids":{"openalex":"https://openalex.org/W2266250663","doi":"https://doi.org/10.1007/s00180-019-00891-1","mag":"2266250663"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-019-00891-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-019-00891-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-019-00891-1.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00180-019-00891-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101739005","display_name":"M\u00e5ns Magnusson","orcid":"https://orcid.org/0000-0002-0296-2719"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI","SE"],"is_corresponding":true,"raw_author_name":"M\u00e5ns Magnusson","raw_affiliation_strings":["Department of Computer Science, Aalto University, Konemiehentie 2, 02150, Espoo, Finland","Department of Computer and Information Science, Link\u00f6ping University, 581 83, Link\u00f6ping, Sweden","Department of Computer Science, Aalto University, Espoo, Finland","Department of Computer and Information Science, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-0296-2719","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Konemiehentie 2, 02150, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Department of Computer and Information Science, Link\u00f6ping University, 581 83, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]},{"raw_affiliation_string":"Department of Computer Science, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Department of Computer and Information Science, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569881","display_name":"Leif Jonsson","orcid":"https://orcid.org/0000-0002-8989-0251"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Leif Jonsson","raw_affiliation_strings":["Department of Computer and Information Science, Ericsson AB, 164 80, Stockholm, Sweden","Department of Computer and Information Science, Ericsson AB, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Ericsson AB, 164 80, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Department of Computer and Information Science, Ericsson AB, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050445437","display_name":"Mattias Villani","orcid":"https://orcid.org/0000-0003-2786-2519"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]},{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]},{"id":"https://openalex.org/I161593684","display_name":"Stockholm University","ror":"https://ror.org/05f0yaq80","country_code":"SE","type":"education","lineage":["https://openalex.org/I161593684"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mattias Villani","raw_affiliation_strings":["Department of Computer and Information Science, Link\u00f6ping University, 581 83, Link\u00f6ping, Sweden","Department of Statistics, Stockholm University, 114 19, Stockholm, Sweden","Department of Statistics, Stockholm University, Stockholm, Sweden","Department of Computer and Information Science, Link\u00f6ping University, Link\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Link\u00f6ping University, 581 83, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]},{"raw_affiliation_string":"Department of Statistics, Stockholm University, 114 19, Stockholm, Sweden","institution_ids":["https://openalex.org/I161593684"]},{"raw_affiliation_string":"Department of Statistics, Stockholm University, Stockholm, Sweden","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I161593684"]},{"raw_affiliation_string":"Department of Computer and Information Science, Link\u00f6ping University, Link\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101739005"],"corresponding_institution_ids":["https://openalex.org/I102134673","https://openalex.org/I9927081"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.289,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6433306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"35","issue":"1","first_page":"175","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976000189781189,"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/T10028","display_name":"Topic Modeling","score":0.9976000189781189,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9908999800682068,"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/orthant","display_name":"Orthant","score":0.8807636499404907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6422622203826904},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.6394698619842529},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6350836753845215},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5483267903327942},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5181202292442322},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4938507676124573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47474437952041626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47208330035209656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31494390964508057},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.24673092365264893}],"concepts":[{"id":"https://openalex.org/C2780016784","wikidata":"https://www.wikidata.org/wiki/Q2714507","display_name":"Orthant","level":2,"score":0.8807636499404907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6422622203826904},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6394698619842529},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6350836753845215},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5483267903327942},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5181202292442322},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4938507676124573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47474437952041626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47208330035209656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31494390964508057},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.24673092365264893},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1007/s00180-019-00891-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-019-00891-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-019-00891-1.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1602.00260","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.00260","pdf_url":"https://arxiv.org/pdf/1602.00260","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":null,"raw_type":"text"},{"id":"mag:2266250663","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1602.00260","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":"pmh:oai:DiVA.org:liu-159217","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159217","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in journal"},{"id":"pmh:oai:RePEc:spr:compst:v:35:y:2020:i:1:d:10.1007_s00180-019-00891-1","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-019-00891-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/39416","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/3eb16b6c-aa7b-4183-b09d-cc5016c54f65","pdf_url":null,"source":{"id":"https://openalex.org/S4306401663","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"},{"id":"doi:10.48550/arxiv.1602.00260","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1602.00260","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":"doi:10.1007/s00180-019-00891-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-019-00891-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-019-00891-1.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321394","display_name":"Aalto-Yliopisto","ror":"https://ror.org/020hwjq30"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2266250663.pdf","grobid_xml":"https://content.openalex.org/works/W2266250663.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W579939058","https://openalex.org/W1502957213","https://openalex.org/W1711911837","https://openalex.org/W1758764730","https://openalex.org/W1880262756","https://openalex.org/W1912299840","https://openalex.org/W1969486090","https://openalex.org/W2028579660","https://openalex.org/W2067436653","https://openalex.org/W2074909580","https://openalex.org/W2083511819","https://openalex.org/W2099878672","https://openalex.org/W2102150019","https://openalex.org/W2108306139","https://openalex.org/W2114169935","https://openalex.org/W2117569500","https://openalex.org/W2117614723","https://openalex.org/W2119730818","https://openalex.org/W2122683976","https://openalex.org/W2125133487","https://openalex.org/W2128981260","https://openalex.org/W2133568543","https://openalex.org/W2137268161","https://openalex.org/W2158863190","https://openalex.org/W2228126705","https://openalex.org/W2528368696","https://openalex.org/W2533991995","https://openalex.org/W2950477597","https://openalex.org/W2963152037","https://openalex.org/W3104393726","https://openalex.org/W4399582166"],"related_works":["https://openalex.org/W1502092412","https://openalex.org/W2098047130","https://openalex.org/W2550969563","https://openalex.org/W1543752008","https://openalex.org/W81081615","https://openalex.org/W2247318628","https://openalex.org/W2264297709","https://openalex.org/W2964261857","https://openalex.org/W2165279024","https://openalex.org/W140573599","https://openalex.org/W2997001207","https://openalex.org/W3029998718","https://openalex.org/W3166142806","https://openalex.org/W2516789382","https://openalex.org/W3147082635","https://openalex.org/W2104192125","https://openalex.org/W2979578718","https://openalex.org/W268806803","https://openalex.org/W2769275980","https://openalex.org/W3100556893"],"abstract_inverted_index":{"Generating":[0],"user":[1],"interpretable":[2],"multi-class":[3,31],"predictions":[4],"in":[5,84,134],"data-rich":[6],"environments":[7],"with":[8,73],"many":[9,36,41,45],"classes":[10,37,46,114],"and":[11,69,128,130],"explanatory":[12],"covariates":[13],"is":[14,105],"a":[15,26,90,119],"daunting":[16],"task.":[17],"We":[18,88,122],"introduce":[19],"Diagonal":[20,52],"Orthant":[21,53],"Latent":[22],"Dirichlet":[23],"Allocation":[24],"(DOLDA),":[25],"supervised":[27],"topic":[28],"model":[29,55],"for":[30,78,96,118],"classification":[32],"that":[33,106],"can":[34],"handle":[35,44],"as":[38,40],"well":[39],"covariates.":[42],"To":[43],"we":[47],"use":[48],"the":[49,62,97,116,124,136],"recently":[50],"proposed":[51],"probit":[54],"(Johndrow":[56],"et":[57,82],"al.,":[58],"in:":[59],"Proceedings":[60],"of":[61,103],"sixteenth":[63],"international":[64],"conference":[65],"on":[66],"artificial":[67],"intelligence":[68],"statistics,":[70],"2013)":[71],"together":[72],"an":[74],"efficient":[75,92],"Horseshoe":[76],"prior":[77],"variable":[79],"selection/shrinkage":[80],"(Carvalho":[81],"al.":[83],"Biometrika":[85],"97:465\u2013480,":[86],"2010).":[87],"propose":[89],"computationally":[91],"parallel":[93],"Gibbs":[94],"sampler":[95],"new":[98],"model.":[99],"An":[100],"important":[101],"advantage":[102,133],"DOLDA":[104],"learned":[107],"topics":[108],"are":[109],"directly":[110],"connected":[111],"to":[112],"individual":[113],"without":[115],"need":[117],"reference":[120],"class.":[121],"evaluate":[123],"model\u2019s":[125],"predictive":[126],"accuracy":[127],"scalability,":[129],"demonstrate":[131],"DOLDA\u2019s":[132],"interpreting":[135],"generated":[137],"predictions.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}