{"id":"https://openalex.org/W2097408416","doi":"https://doi.org/10.5555/2567709.2567724","title":"Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation","display_name":"Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2097408416","doi":"https://doi.org/10.5555/2567709.2567724","mag":"2097408416"},"language":"en","primary_location":{"id":"pmh:oai:dnet:biblosearchi::94e4308cce39a93024743c5f0ffc2d38","is_oa":true,"landing_page_url":"http://hdl.handle.net/10486/664106","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"type":"article","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10486/664106","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003318791","display_name":"Daniel Hern\u00e1ndez-Lobato","orcid":"https://orcid.org/0000-0001-5845-437X"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel Hern\u00e1ndez-Lobato","raw_affiliation_strings":["Computer Science Department Universidad Aut\u00f3noma de Madrid Madrid Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department Universidad Aut\u00f3noma de Madrid Madrid Spain","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102890597","display_name":"Jos\u00e9 Miguel Hern\u00e1ndez-Lobato","orcid":"https://orcid.org/0000-0001-7610-949X"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Miguel Hern\u00e1ndez-Lobato","raw_affiliation_strings":["Department of Engineering, University of Cambridge, Cambridge. United Kingdom#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, Cambridge. United Kingdom#TAB#","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030188873","display_name":"Pierre Dupont","orcid":"https://orcid.org/0000-0003-4835-6519"},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Pierre Dupont","raw_affiliation_strings":["Machine Learning Group-ICTEAM, Universit\u00e9 catholique de Louvain, Louvain-la-Neuve, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-4835-6519","affiliations":[{"raw_affiliation_string":"Machine Learning Group-ICTEAM, Universit\u00e9 catholique de Louvain, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.698,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.99065199,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"14","issue":"1","first_page":"1891","last_page":"1945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9987999796867371,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987999796867371,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9965999722480774,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9932000041007996,"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/prior-probability","display_name":"Prior probability","score":0.772314727306366},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6459591388702393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5860058069229126},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5763319134712219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.573149561882019},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5284512042999268},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.507553219795227},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5037137866020203},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.5021212100982666},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.4878664016723633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4760465621948242},{"id":"https://openalex.org/keywords/expectation-propagation","display_name":"Expectation propagation","score":0.43383505940437317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4334415793418884},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.06509587168693542}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.772314727306366},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6459591388702393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860058069229126},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5763319134712219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.573149561882019},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5284512042999268},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.507553219795227},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5037137866020203},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.5021212100982666},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.4878664016723633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4760465621948242},{"id":"https://openalex.org/C2779363554","wikidata":"https://www.wikidata.org/wiki/Q5420835","display_name":"Expectation propagation","level":4,"score":0.43383505940437317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4334415793418884},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.06509587168693542},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:dnet:biblosearchi::94e4308cce39a93024743c5f0ffc2d38","is_oa":true,"landing_page_url":"http://hdl.handle.net/10486/664106","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.310.8606","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.8606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.info.ucl.ac.be/~pdupont/pdupont/pdf/GSS_JMLR_13.pdf","raw_type":"text"},{"id":"pmh:oai:dial.uclouvain.be:boreal:133746","is_oa":true,"landing_page_url":"http://hdl.handle.net/2078.1/133746","pdf_url":null,"source":{"id":"https://openalex.org/S4306400166","display_name":"Digital Access to Libraries","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800384882","host_organization_name":"Harris County Public Library","host_organization_lineage":["https://openalex.org/I2800384882"],"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":"Journal of Machine Learning Research, Vol. 14, p. 1891-1945 (2013)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:generic.eprints.org:598607","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/598607/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"mag:2097408416","is_oa":false,"landing_page_url":"http://jmlr.csail.mit.edu/papers/volume14/hernandez-lobato13a/hernandez-lobato13a.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":{"id":"pmh:oai:dnet:biblosearchi::94e4308cce39a93024743c5f0ffc2d38","is_oa":true,"landing_page_url":"http://hdl.handle.net/10486/664106","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W119376266","https://openalex.org/W171292237","https://openalex.org/W195465510","https://openalex.org/W1506806321","https://openalex.org/W1508292471","https://openalex.org/W1515272691","https://openalex.org/W1561186246","https://openalex.org/W1565746575","https://openalex.org/W1592305655","https://openalex.org/W1633751774","https://openalex.org/W1648445109","https://openalex.org/W1663973292","https://openalex.org/W1885596477","https://openalex.org/W1907158944","https://openalex.org/W1979180832","https://openalex.org/W1984915212","https://openalex.org/W1999894343","https://openalex.org/W1999974018","https://openalex.org/W2014018052","https://openalex.org/W2035814233","https://openalex.org/W2052495084","https://openalex.org/W2054673514","https://openalex.org/W2071284784","https://openalex.org/W2077964948","https://openalex.org/W2103519107","https://openalex.org/W2104924585","https://openalex.org/W2106108430","https://openalex.org/W2106398669","https://openalex.org/W2108198948","https://openalex.org/W2108423015","https://openalex.org/W2109125555","https://openalex.org/W2112796928","https://openalex.org/W2115305054","https://openalex.org/W2115606304","https://openalex.org/W2116523778","https://openalex.org/W2117135012","https://openalex.org/W2119667497","https://openalex.org/W2124558419","https://openalex.org/W2128981260","https://openalex.org/W2135046866","https://openalex.org/W2137123230","https://openalex.org/W2137956165","https://openalex.org/W2138019504","https://openalex.org/W2144578442","https://openalex.org/W2145856765","https://openalex.org/W2146195822","https://openalex.org/W2153491803","https://openalex.org/W2157801062","https://openalex.org/W2157826563","https://openalex.org/W2157879939","https://openalex.org/W2158825237","https://openalex.org/W2159375150","https://openalex.org/W2163302275","https://openalex.org/W2165363188","https://openalex.org/W2166471851","https://openalex.org/W2166706824","https://openalex.org/W2168832308","https://openalex.org/W2172085063","https://openalex.org/W2226650688","https://openalex.org/W2296616510","https://openalex.org/W2582743722","https://openalex.org/W2964252433","https://openalex.org/W3028969400","https://openalex.org/W3101032515","https://openalex.org/W3140968660","https://openalex.org/W3148943941"],"related_works":["https://openalex.org/W2135046866","https://openalex.org/W1999974018","https://openalex.org/W1663973292","https://openalex.org/W1934021597","https://openalex.org/W2138019504","https://openalex.org/W2007069447","https://openalex.org/W1964699659","https://openalex.org/W2112908648","https://openalex.org/W2122825543","https://openalex.org/W1982652137","https://openalex.org/W1515272691","https://openalex.org/W2157801062","https://openalex.org/W2166471851","https://openalex.org/W2155676512","https://openalex.org/W1981157266","https://openalex.org/W1970554427","https://openalex.org/W1648445109","https://openalex.org/W2097360283","https://openalex.org/W2071284784","https://openalex.org/W1483883706"],"abstract_inverted_index":{"We":[0],"describe":[1],"a":[2,18,101,144,205],"Bayesian":[3,36,123],"method":[4,14,117],"for":[5,31,44,74,133],"group":[6,82,121,124,134],"feature":[7,33,135],"selection":[8],"in":[9,160,193],"linear":[10],"regression":[11,46,75],"problems.":[12,47],"The":[13,137],"is":[15,28,42,71,167],"based":[16,146],"on":[17,147],"generalized":[19,65,149],"version":[20],"of":[21,63,97,114,120,139,200,208],"the":[22,39,64,81,112,115,148,153,161,183,194,198],"standard":[23],"spike-and-slab":[24,66,150],"prior":[25,40,67,86,92,151],"distribution":[26],"which":[27],"often":[29],"used":[30,89,132],"individual":[32],"selection.":[34,136],"Exact":[35],"inference":[37,50],"under":[38],"considered":[41],"infeasible":[43],"typical":[45],"However,":[48],"approximate":[49],"can":[51,87],"be":[52,88,105],"carried":[53],"out":[54,173],"efficiently":[55],"using":[56],"Expectation":[57],"Propagation":[58],"(EP).":[59],"A":[60],"detailed":[61],"analysis":[62],"shows":[68],"that":[69,77,99,143,186],"it":[70],"well":[72],"suited":[73],"problems":[76,162],"are":[78,100,187,190],"sparse":[79],"at":[80],"level.":[83],"Furthermore,":[84,164],"this":[85,165],"to":[90,104,171,203],"introduce":[91],"knowledge":[93],"about":[94],"specific":[95],"groups":[96],"features":[98],"priori":[102],"believed":[103],"more":[106],"relevant.":[107],"An":[108],"experimental":[109,175],"evaluation":[110],"compares":[111],"performance":[113,159],"proposed":[116],"with":[118],"those":[119],"LASSO,":[122,125],"automatic":[126],"relevance":[127],"determination":[128],"and":[129,152],"additional":[130],"variants":[131],"results":[138],"these":[140],"experiments":[141],"show":[142],"model":[145,166],"EP":[154],"algorithm":[155],"has":[156],"state-of-the-art":[157],"prediction":[158,209],"analyzed.":[163],"also":[168],"very":[169],"useful":[170],"carry":[172],"sequential":[174],"design":[176],"(also":[177],"known":[178],"as":[179],"active":[180],"learning),":[181],"where":[182],"data":[184],"instances":[185,201],"most":[188],"informative":[189],"iteratively":[191],"included":[192],"training":[195],"set,":[196],"reducing":[197],"number":[199],"needed":[202],"obtain":[204],"particular":[206],"level":[207],"accuracy":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
