{"id":"https://openalex.org/W3122792075","doi":"https://doi.org/10.1080/10618600.2021.1874962","title":"Sequential Learning of Active Subspaces","display_name":"Sequential Learning of Active Subspaces","publication_year":2021,"publication_date":"2021-01-19","ids":{"openalex":"https://openalex.org/W3122792075","doi":"https://doi.org/10.1080/10618600.2021.1874962","mag":"3122792075"},"language":"en","primary_location":{"id":"doi:10.1080/10618600.2021.1874962","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2021.1874962","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-02367750v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021501780","display_name":"Nathan Wycoff","orcid":"https://orcid.org/0000-0002-0336-7401"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]},{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nathan Wycoff","raw_affiliation_strings":["Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL","Virginia Polytechnic Institute and State University [Blacksburg]"],"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL","institution_ids":["https://openalex.org/I1282105669"]},{"raw_affiliation_string":"Virginia Polytechnic Institute and State University [Blacksburg]","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057138887","display_name":"Micka\u00ebl Binois","orcid":"https://orcid.org/0000-0002-7225-1680"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Micka\u00ebl Binois","raw_affiliation_strings":["Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL","Analysis and Control of Unsteady Models for Engineering Sciences"],"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL","institution_ids":["https://openalex.org/I1282105669"]},{"raw_affiliation_string":"Analysis and Control of Unsteady Models for Engineering Sciences","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083426306","display_name":"Stefan M. Wild","orcid":"https://orcid.org/0000-0002-6099-2772"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefan M. Wild","raw_affiliation_strings":["Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL"],"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021501780"],"corresponding_institution_ids":["https://openalex.org/I1282105669","https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":1.8199,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87448869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":"4","first_page":"1224","last_page":"1237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9995999932289124,"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":0.9995999932289124,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7344594597816467},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6840777397155762},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6790598034858704},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5788546204566956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.55025315284729},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5262188911437988},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4985063076019287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4483359456062317},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.4477086067199707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4189290404319763},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40631136298179626},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3912033438682556},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3776935338973999},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3437501788139343},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10890257358551025}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7344594597816467},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6840777397155762},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6790598034858704},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5788546204566956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55025315284729},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5262188911437988},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4985063076019287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4483359456062317},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.4477086067199707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4189290404319763},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40631136298179626},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3912033438682556},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3776935338973999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3437501788139343},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10890257358551025},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1080/10618600.2021.1874962","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2021.1874962","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-02367750v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02367750","pdf_url":"https://inria.hal.science/hal-02367750v1/document","source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computational and Graphical Statistics, 2021, &#x27E8;10.1080/10618600.2021.1874962&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:figshare.com:article/13611284","is_oa":true,"landing_page_url":null,"pdf_url":"https://figshare.com/articles/dataset/Sequential_Learning_of_Active_Subspaces/13611284","source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Dataset"},{"id":"pmh:oai:osti.gov:2001243","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2001243","pdf_url":"https://www.osti.gov/servlets/purl/1845719","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},{"id":"pmh:oai:osti.gov:1845719","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1845719","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},{"id":"doi:10.6084/m9.figshare.13611284.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.13611284.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02367750v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02367750","pdf_url":"https://inria.hal.science/hal-02367750v1/document","source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computational and Graphical Statistics, 2021, &#x27E8;10.1080/10618600.2021.1874962&#x27E9;","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1015216249","display_name":null,"funder_award_id":"DE-AC02-06CH1135","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G1116540683","display_name":null,"funder_award_id":"DE-AC02-06CH11","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G1751644051","display_name":null,"funder_award_id":"DE-AC02-06CH11357","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G1844751952","display_name":null,"funder_award_id":"DE-AC02_06CH11357","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G2777053550","display_name":null,"funder_award_id":"AC02-06CH11357","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G3000213308","display_name":null,"funder_award_id":"DE-AC02-06CH113","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G3801222974","display_name":null,"funder_award_id":"DE-AC02-06CH1135","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G4145457401","display_name":null,"funder_award_id":"DE-AC02-06CH113","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G454250190","display_name":null,"funder_award_id":"SciDAC","funder_id":"https://openalex.org/F4320337506","funder_display_name":"Advanced Scientific Computing Research"},{"id":"https://openalex.org/G498139845","display_name":null,"funder_award_id":"DE-AC02","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G6085113958","display_name":null,"funder_award_id":"E-AC02-06CH11357","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G650626725","display_name":null,"funder_award_id":"E-AC02-06CH11357","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G6558272803","display_name":null,"funder_award_id":"DE-AC02","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6848031779","display_name":null,"funder_award_id":"06CH11357","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6918803902","display_name":null,"funder_award_id":"06CH11357","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G7954425250","display_name":null,"funder_award_id":"DE-AC02-06CH11357","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8143874970","display_name":null,"funder_award_id":"AC02-06CH11357","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G8314672274","display_name":null,"funder_award_id":"DE-AC02-06CH11","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8344606036","display_name":null,"funder_award_id":"SciDAC","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G8414908677","display_name":null,"funder_award_id":"DE-AC0","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G969889393","display_name":null,"funder_award_id":"DE-AC02-","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320337506","display_name":"Advanced Scientific Computing Research","ror":"https://ror.org/0012c7r22"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3122792075.pdf","grobid_xml":"https://content.openalex.org/works/W3122792075.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W66306528","https://openalex.org/W211041173","https://openalex.org/W1480330138","https://openalex.org/W1502922572","https://openalex.org/W1587084277","https://openalex.org/W1593041279","https://openalex.org/W1807984730","https://openalex.org/W1911106672","https://openalex.org/W1969549583","https://openalex.org/W1977405322","https://openalex.org/W1982230649","https://openalex.org/W2006820723","https://openalex.org/W2013974460","https://openalex.org/W2024419927","https://openalex.org/W2036163871","https://openalex.org/W2053469438","https://openalex.org/W2091886411","https://openalex.org/W2101589741","https://openalex.org/W2144336328","https://openalex.org/W2144405862","https://openalex.org/W2156375221","https://openalex.org/W2163057507","https://openalex.org/W2163490846","https://openalex.org/W2217701558","https://openalex.org/W2282795067","https://openalex.org/W2396444794","https://openalex.org/W2398436715","https://openalex.org/W2409416259","https://openalex.org/W2412182992","https://openalex.org/W2416032991","https://openalex.org/W2478899349","https://openalex.org/W2604191178","https://openalex.org/W2604272474","https://openalex.org/W2742269066","https://openalex.org/W2763315906","https://openalex.org/W2774202024","https://openalex.org/W2782503474","https://openalex.org/W2784852024","https://openalex.org/W2796445306","https://openalex.org/W2906811498","https://openalex.org/W2941034199","https://openalex.org/W2962864460","https://openalex.org/W2963702507","https://openalex.org/W2963866191","https://openalex.org/W2963941369","https://openalex.org/W2964306950","https://openalex.org/W2995202122","https://openalex.org/W3102143361","https://openalex.org/W3103568458","https://openalex.org/W3103869760","https://openalex.org/W4252750892","https://openalex.org/W6635031720","https://openalex.org/W6679226052","https://openalex.org/W6683037491","https://openalex.org/W6734797129"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"In":[0,31,48],"recent":[1],"years,":[2],"active":[3,154],"subspace":[4,14],"methods":[5],"(ASMs)":[6],"have":[7],"become":[8],"a":[9,52,68,121,127],"popular":[10],"means":[11],"of":[12,27,34,107,123,130],"performing":[13],"sensitivity":[15,103,146],"analysis":[16,104],"on":[17,57,98,105,136,144,152,161],"black-box":[18],"functions.":[19],"Naively":[20],"applied,":[21],"however,":[22],"ASMs":[23],"require":[24],"gradient":[25],"evaluations":[26],"the":[28,32,64,75,84,113,145,153],"target":[29],"function.":[30],"event":[33],"noisy,":[35],"expensive,":[36],"or":[37],"stochastic":[38],"simulators,":[39],"evaluating":[40],"gradients":[41],"via":[42],"finite":[43,59],"differencing":[44,60],"may":[45,117,139],"be":[46,118,140],"infeasible.":[47],"such":[49],"cases,":[50],"often":[51],"surrogate":[53,65],"model":[54,66],"is":[55,61,67,78],"employed,":[56],"which":[58],"performed.":[62],"When":[63],"Gaussian":[69],"process":[70],"(GP),":[71],"we":[72],"show":[73,111],"that":[74,112],"ASM":[76,115],"estimator":[77,116,125],"available":[79,170],"in":[80],"closed":[81],"form,":[82],"rendering":[83],"finite-difference":[85],"approximation":[86],"unnecessary.":[87],"We":[88,109,132],"use":[89],"our":[90],"closed-form":[91],"solution":[92],"to":[93,102,142],"develop":[94],"acquisition":[95],"functions":[96],"focused":[97],"sequential":[99],"learning":[100],"tailored":[101],"top":[106],"ASMs.":[108],"also":[110],"traditional":[114],"viewed":[119],"as":[120],"method":[122],"moments":[124],"for":[126,166],"certain":[128],"class":[129],"GPs.":[131],"demonstrate":[133],"how":[134],"uncertainty":[135,143],"GP":[137],"hyperparameters":[138],"propagated":[141],"analysis,":[147],"allowing":[148],"model-based":[149],"confidence":[150],"intervals":[151],"subspace.":[155],"Our":[156],"methodological":[157],"developments":[158],"are":[159,169],"illustrated":[160],"several":[162],"examples.":[163],"Supplementary":[164],"files":[165],"this":[167],"article":[168],"online.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
