{"id":"https://openalex.org/W4323048693","doi":"https://doi.org/10.1137/21m1466499","title":"A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design","display_name":"A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design","publication_year":2023,"publication_date":"2023-03-03","ids":{"openalex":"https://openalex.org/W4323048693","doi":"https://doi.org/10.1137/21m1466499"},"language":"en","primary_location":{"id":"doi:10.1137/21m1466499","is_oa":false,"landing_page_url":"https://doi.org/10.1137/21m1466499","pdf_url":null,"source":{"id":"https://openalex.org/S2911293512","display_name":"SIAM/ASA Journal on Uncertainty Quantification","issn_l":"2166-2525","issn":["2166-2525"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-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/A5013956573","display_name":"Keyi Wu","orcid":"https://orcid.org/0000-0003-3428-9079"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Keyi Wu","raw_affiliation_strings":["Department of Mathematics, The University of Texas at Austin, Austin, TX 78705 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, The University of Texas at Austin, Austin, TX 78705 USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338488","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0003-4215-9901"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30308 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30308 USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103016627","display_name":"Omar Ghattas","orcid":"https://orcid.org/0000-0002-4384-7266"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Omar Ghattas","raw_affiliation_strings":["Departments of Geological Sciences and Mechanical Engineering and Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78705 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departments of Geological Sciences and Mechanical Engineering and Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78705 USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013956573"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0839,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96260623,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":"1","first_page":"235","last_page":"261"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9993000030517578,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6412565112113953},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6262065172195435},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6156970262527466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5879271626472473},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5447264313697815},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.41908156871795654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35319483280181885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34182387590408325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11009228229522705}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6412565112113953},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6262065172195435},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6156970262527466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5879271626472473},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5447264313697815},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.41908156871795654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35319483280181885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34182387590408325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11009228229522705},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/21m1466499","is_oa":false,"landing_page_url":"https://doi.org/10.1137/21m1466499","pdf_url":null,"source":{"id":"https://openalex.org/S2911293512","display_name":"SIAM/ASA Journal on Uncertainty Quantification","issn_l":"2166-2525","issn":["2166-2525"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2263840398","display_name":null,"funder_award_id":"DE-SC0019303","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2509896857","display_name":null,"funder_award_id":"FA9550-21-1-0084","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"},{"id":"https://openalex.org/G2950560991","display_name":null,"funder_award_id":"DMS-2012453","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5921555733","display_name":null,"funder_award_id":"DE-SC0021239","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W436010332","https://openalex.org/W1575501007","https://openalex.org/W1680189815","https://openalex.org/W1972283993","https://openalex.org/W1983671004","https://openalex.org/W2001860888","https://openalex.org/W2019119172","https://openalex.org/W2019143734","https://openalex.org/W2019573832","https://openalex.org/W2035814907","https://openalex.org/W2074836377","https://openalex.org/W2082261407","https://openalex.org/W2097131037","https://openalex.org/W2102074292","https://openalex.org/W2117756735","https://openalex.org/W2131027309","https://openalex.org/W2146961539","https://openalex.org/W2149498546","https://openalex.org/W2315057816","https://openalex.org/W2332163904","https://openalex.org/W2500139799","https://openalex.org/W2517666902","https://openalex.org/W2560550287","https://openalex.org/W2606342551","https://openalex.org/W2671679770","https://openalex.org/W2748760860","https://openalex.org/W2764128407","https://openalex.org/W2788406418","https://openalex.org/W2797722791","https://openalex.org/W2886726562","https://openalex.org/W2952019053","https://openalex.org/W2959387888","https://openalex.org/W2962707560","https://openalex.org/W2962841346","https://openalex.org/W2963199582","https://openalex.org/W2963215177","https://openalex.org/W2963221048","https://openalex.org/W2963427446","https://openalex.org/W2963538079","https://openalex.org/W2963753184","https://openalex.org/W2964065315","https://openalex.org/W2964225090","https://openalex.org/W2964324126","https://openalex.org/W2964350355","https://openalex.org/W3006753052","https://openalex.org/W3042947414","https://openalex.org/W3044727787","https://openalex.org/W3093797476","https://openalex.org/W3094990094","https://openalex.org/W3098688065","https://openalex.org/W3100141817","https://openalex.org/W3102357792","https://openalex.org/W3103970247","https://openalex.org/W3104009841","https://openalex.org/W3141261456","https://openalex.org/W3165184084","https://openalex.org/W3192184895","https://openalex.org/W3204662258","https://openalex.org/W3205912750","https://openalex.org/W4245445339","https://openalex.org/W4300031234","https://openalex.org/W4388257666"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W106004901"],"abstract_inverted_index":{".We":[0],"develop":[1],"a":[2,83,153,186],"fast":[3],"and":[4,47,81,125,140,168,194,203,225],"scalable":[5],"computational":[6],"framework":[7],"to":[8,23,39,74],"solve":[9],"Bayesian":[10],"optimal":[11,24],"experimental":[12,236],"design":[13],"problems":[14,34],"governed":[15],"by":[16,27,200],"partial":[17],"differential":[18],"equations":[19],"(PDEs)":[20],"with":[21,101,174],"application":[22],"sensor":[25,138],"placement":[26,139],"maximizing":[28],"expected":[29],"information":[30,240],"gain":[31],"(EIG).":[32],"Such":[33],"are":[35,181],"particularly":[36],"challenging":[37],"due":[38],"the":[40,48,64,68,71,76,88,92,102,116,123,148,171,192,197,212,222,230],"curse":[41],"of":[42,51,67,70,85,87,94,163,196,214,221],"dimensionality":[43],"for":[44,115,233],"high-dimensional":[45],"parameters":[46],"expensive":[49],"solution":[50],"large-scale":[52],"PDEs.":[53],"To":[54],"address":[55],"these":[56,107],"challenges,":[57],"we":[58,109,151,184,209],"exploit":[59],"two":[60],"fundamental":[61],"properties:":[62],"(1)":[63],"low-rank":[65],"structure":[66],"Jacobian":[69],"parameter-to-observable":[72],"map,":[73],"extract":[75],"intrinsically":[77],"low-dimensional":[78],"data-informed":[79],"subspace,":[80],"(2)":[82],"series":[84],"approximations":[86],"EIG":[89],"that":[90,130,157,211],"reduce":[91],"number":[93,213],"PDE":[95,132,145,216],"solves":[96,217],"while":[97],"retaining":[98],"high":[99],"correlation":[100],"true":[103],"EIG.":[104],"Based":[105],"on":[106,229],"properties,":[108],"propose":[110,152],"an":[111,160],"efficient":[112],"offline-online":[113],"decomposition":[114],"optimization":[117],"problem.":[118],"The":[119,134],"offline":[120],"stage":[121,136],"dominates":[122],"cost":[124],"entails":[126],"precomputing":[127],"all":[128],"components":[129],"require":[131,143],"solves.":[133,146],"online":[135,149],"optimizes":[137],"does":[141],"not":[142],"any":[144],"For":[147],"stage,":[150],"new":[154],"greedy":[155,188,242],"algorithm":[156],"first":[158],"places":[159],"initial":[161],"set":[162],"sensors":[164,173],"using":[165],"leverage":[166],"scores":[167],"then":[169],"swaps":[170],"selected":[172],"other":[175],"candidates":[176],"until":[177],"certain":[178],"convergence":[179],"criteria":[180],"met,":[182],"which":[183],"call":[185],"swapping":[187],"algorithm.":[189],"We":[190],"demonstrate":[191],"efficiency":[193],"scalability":[195],"proposed":[198],"method":[199],"both":[201,234],"linear":[202],"nonlinear":[204],"inverse":[205,238],"problems.":[206],"In":[207],"particular,":[208],"show":[210],"required":[215],"is":[218],"small,":[219],"independent":[220],"parameter":[223],"dimension,":[224],"only":[226],"weakly":[227],"dependent":[228],"data":[231],"dimension":[232],"problems.Keywordsoptimal":[235],"designBayesian":[237],"problemsexpected":[239],"gainswapping":[241],"algorithmlow-rank":[243],"approximationoffline-online":[244],"decompositionMSC":[245],"codes62K0535Q6262F1535R3035Q9365C6090C27":[246]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}