{"id":"https://openalex.org/W2113046219","doi":"https://doi.org/10.1109/icassp.2011.5946760","title":"Fast adaptive variational sparse Bayesian learning with automatic relevance determination","display_name":"Fast adaptive variational sparse Bayesian learning with automatic relevance determination","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2113046219","doi":"https://doi.org/10.1109/icassp.2011.5946760","mag":"2113046219"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5047628893","display_name":"Dmitriy Shutin","orcid":"https://orcid.org/0000-0002-6065-6453"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dmitriy Shutin","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, USA","Dept. of Electrical Engineering, Princeton University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082130977","display_name":"Thomas Buchgraber","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Buchgraber","raw_affiliation_strings":["Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria","Signal Processing and Speech Comm. Lab., Graz University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Signal Processing and Speech Comm. Lab., Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053530986","display_name":"Sanjeev R. Kulkarni","orcid":"https://orcid.org/0000-0002-5308-5250"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjeev R. Kulkarni","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, USA","Dept. of Electrical Engineering, Princeton University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, USA","Dept. of Electrical Engineering, Princeton University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047628893"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":2.7562,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9016239,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":null,"first_page":"2180","last_page":"2183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.5484602451324463},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5274550914764404},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5191071033477783},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4730131924152374},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.4586612582206726},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4583103358745575},{"id":"https://openalex.org/keywords/marginal-likelihood","display_name":"Marginal likelihood","score":0.4470847249031067},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.44619327783584595},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43707275390625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4321020245552063},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.42198652029037476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36020877957344055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5484602451324463},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5274550914764404},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5191071033477783},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4730131924152374},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.4586612582206726},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4583103358745575},{"id":"https://openalex.org/C95923904","wikidata":"https://www.wikidata.org/wiki/Q6760420","display_name":"Marginal likelihood","level":3,"score":0.4470847249031067},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.44619327783584595},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43707275390625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4321020245552063},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.42198652029037476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36020877957344055},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5946760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1633751774","https://openalex.org/W1663973292","https://openalex.org/W1986931325","https://openalex.org/W2000721204","https://openalex.org/W2009086942","https://openalex.org/W2078204800","https://openalex.org/W2107710506","https://openalex.org/W2113046219","https://openalex.org/W2119667497","https://openalex.org/W2137628444","https://openalex.org/W2139182243","https://openalex.org/W2146247053","https://openalex.org/W2148154358","https://openalex.org/W4285719527","https://openalex.org/W6636690510","https://openalex.org/W6676234565"],"related_works":["https://openalex.org/W2900864464","https://openalex.org/W2475480881","https://openalex.org/W2121723556","https://openalex.org/W54727051","https://openalex.org/W2783639087","https://openalex.org/W2155956102","https://openalex.org/W2390244926","https://openalex.org/W2112820851","https://openalex.org/W2077098522","https://openalex.org/W4239446003"],"abstract_inverted_index":{"In":[0,57],"this":[1,138],"work":[2],"a":[3,17,36,43,47,121,129,141],"new":[4],"adaptive":[5],"fast":[6,22],"variational":[7,18,54,91],"sparse":[8,37],"Bayesian":[9],"learning":[10,178],"(V-SBL)":[11],"algorithm":[12],"is":[13,16],"proposed":[14,177],"that":[15,99,137],"counterpart":[19],"of":[20,46,60,72,85,93,115,128,145,154,162,175],"the":[21,53,58,70,73,82,86,90,94,146,159,163,173,176],"marginal":[23],"likelihood":[24],"maximization":[25],"approach":[26],"to":[27,33,65,102],"SBL.":[28],"It":[29,133],"al":[30],"lows":[31],"one":[32],"adaptively":[34],"construct":[35],"regression":[38],"or":[39,113],"classification":[40],"function":[41],"as":[42,66],"linear":[44],"combination":[45],"few":[48],"basis":[49,116],"functions":[50],"by":[51,80],"minimizing":[52],"free":[55,74],"energy.":[56],"case":[59],"non-informative":[61],"hyperpriors,":[62],"also":[63,119],"referred":[64],"automatic":[67],"relevance":[68],"determination,":[69],"minimization":[71],"energy":[75],"can":[76],"be":[77],"efficiently":[78],"realized":[79],"computing":[81],"fixed":[83,104],"points":[84],"update":[87],"expressions":[88],"for":[89],"distribution":[92],"sparsity":[95,153],"parameters.":[96],"The":[97,165],"criteria":[98],"establish":[100],"convergence":[101,160],"these":[103],"points,":[105],"termed":[106],"pruning":[107,147],"conditions,":[108,148],"allow":[109],"an":[110],"efficient":[111],"addition":[112],"removal":[114],"functions;":[117],"they":[118],"have":[120],"simple":[122,142],"and":[123,156],"intuitive":[124],"interpretation":[125,139],"in":[126,150],"terms":[127],"component's":[130],"signal-to-noise":[131],"ratio.":[132],"has":[134],"been":[135],"demonstrated":[136],"allows":[140],"empirical":[143],"adjustment":[144],"which":[149],"turn":[151],"improves":[152],"SBL":[155],"drastically":[157],"accelerates":[158],"rate":[161],"algorithm.":[164],"experimental":[166],"evidence":[167],"collected":[168],"with":[169],"synthetic":[170],"data":[171],"demonstrates":[172],"effectiveness":[174],"scheme.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}