{"id":"https://openalex.org/W2144533338","doi":"https://doi.org/10.1109/tpami.2015.2424873","title":"Efficient Optimization for Sparse Gaussian Process Regression","display_name":"Efficient Optimization for Sparse Gaussian Process Regression","publication_year":2015,"publication_date":"2015-04-20","ids":{"openalex":"https://openalex.org/W2144533338","doi":"https://doi.org/10.1109/tpami.2015.2424873","mag":"2144533338","pmid":"https://pubmed.ncbi.nlm.nih.gov/26539847"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2015.2424873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2424873","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5112457697","display_name":"Yanshuai Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yanshuai Cao","raw_affiliation_strings":["Department of Computer Science, University of Toronto, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069522766","display_name":"Marcus A. Brubaker","orcid":"https://orcid.org/0000-0002-7892-9026"},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcus A. Brubaker","raw_affiliation_strings":["TTI-Chicago institute, Chicago, Illinois"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TTI-Chicago institute, Chicago, Illinois","institution_ids":["https://openalex.org/I160992636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035123135","display_name":"David J. Fleet","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David J. Fleet","raw_affiliation_strings":["University of Toronto, Toronto, ON, CA","Department of Computer Science, University of Toronto, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, CA","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061237128","display_name":"Aaron Hertzmann","orcid":"https://orcid.org/0000-0001-9667-0292"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Aaron Hertzmann","raw_affiliation_strings":["Adobe Research, San Francisco, California and the Department of Computer Science, University of Toronto, Ontario, Canada","Adobe Research, San Francisco, California and the Department of Computer Science, University of Toronto, Ontario, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Francisco, California and the Department of Computer Science, University of Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I1306409833","https://openalex.org/I185261750"]},{"raw_affiliation_string":"Adobe Research, San Francisco, California and the Department of Computer Science, University of Toronto, Ontario, Canada#TAB#","institution_ids":["https://openalex.org/I1306409833","https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0066,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.94342057,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"37","issue":"12","first_page":"2415","last_page":"2427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9998999834060669,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9998999834060669,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9894000291824341,"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/hyperparameter","display_name":"Hyperparameter","score":0.8515357375144958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7098420858383179},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6223443150520325},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5425941944122314},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5300284028053284},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49659591913223267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4723159968852997},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4584704041481018},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42208144068717957},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41583284735679626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37988871335983276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36892977356910706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23346275091171265}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8515357375144958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098420858383179},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6223443150520325},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5425941944122314},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5300284028053284},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49659591913223267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4723159968852997},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4584704041481018},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42208144068717957},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41583284735679626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37988871335983276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36892977356910706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23346275091171265},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2015.2424873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2424873","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26539847","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26539847","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W137285897","https://openalex.org/W164706946","https://openalex.org/W1512149552","https://openalex.org/W1551209770","https://openalex.org/W1571870753","https://openalex.org/W1590890880","https://openalex.org/W1746819321","https://openalex.org/W1787720684","https://openalex.org/W1816257748","https://openalex.org/W1835509607","https://openalex.org/W2099768828","https://openalex.org/W2105608756","https://openalex.org/W2123687908","https://openalex.org/W2129564505","https://openalex.org/W2137956165","https://openalex.org/W2138481796","https://openalex.org/W2142498761","https://openalex.org/W2147286743","https://openalex.org/W2150582689","https://openalex.org/W2159156271","https://openalex.org/W2161969291","https://openalex.org/W2169738563","https://openalex.org/W2169749653","https://openalex.org/W2171151752","https://openalex.org/W2527497076","https://openalex.org/W2911738047","https://openalex.org/W2950952569","https://openalex.org/W2952795334","https://openalex.org/W4211049957","https://openalex.org/W6605566567","https://openalex.org/W6630718072","https://openalex.org/W6632758585","https://openalex.org/W6638159235","https://openalex.org/W6674989108","https://openalex.org/W6678165021","https://openalex.org/W6681029592","https://openalex.org/W6682278119","https://openalex.org/W6684852750","https://openalex.org/W6685089420","https://openalex.org/W6727823310","https://openalex.org/W6758327135","https://openalex.org/W6991122698","https://openalex.org/W7065437122"],"related_works":["https://openalex.org/W2141609920","https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4286748465","https://openalex.org/W3118984993","https://openalex.org/W2144336328","https://openalex.org/W3196933554","https://openalex.org/W4294619368","https://openalex.org/W4380558509","https://openalex.org/W4300066510"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,84],"efficient":[3],"optimization":[4],"algorithm":[5,78,121],"to":[6,50,60,65,74,98,125],"select":[7],"a":[8,91,105,148],"subset":[9],"of":[10],"training":[11,116,152],"data":[12],"as":[13,145,147],"the":[14,38,55,75,88,101,120],"inducing":[15,30,39,85],"set":[16,31,40,86,117],"for":[17,29],"sparse":[18],"Gaussian":[19],"process":[20],"regression.":[21],"Previous":[22],"methods":[23],"either":[24,100],"use":[25],"different":[26],"objective":[27],"functions":[28,67],"and":[32,52,87,110,119,153],"hyperparameter":[33],"selection,":[34],"or":[35,64,104,131],"else":[36],"optimize":[37,99],"by":[41],"gradient-based":[42],"continuous":[43,132,157],"optimization.":[44],"The":[45,77],"former":[46],"approaches":[47],"are":[48,69,113],"harder":[49],"interpret":[51],"suboptimal,":[53],"whereas":[54],"latter":[56],"cannot":[57],"be":[58,96,123],"applied":[59,124],"discrete":[61,130,140],"input":[62],"domains":[63],"kernel":[66],"that":[68],"not":[70],"differentiable":[71],"with":[72],"respect":[73],"input.":[76],"proposed":[79],"in":[80,115,139,156],"this":[81],"work":[82],"estimates":[83],"hyperparameters":[89],"using":[90],"single":[92],"objective.":[93],"It":[94],"can":[95,122],"used":[97],"marginal":[102],"likelihood":[103],"variational":[106],"free":[107],"energy.":[108],"Space":[109],"time":[111,155],"complexity":[112],"linear":[114],"size,":[118],"large":[126],"regression":[127],"problems":[128],"on":[129],"domains.":[133],"Empirical":[134],"evaluation":[135],"shows":[136],"state-of-art":[137],"performance":[138],"cases,":[141],"competitive":[142],"prediction":[143],"results":[144],"well":[146],"favorable":[149],"trade-off":[150],"between":[151],"test":[154],"cases.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
