{"id":"https://openalex.org/W7156923118","doi":"https://doi.org/10.48550/arxiv.2604.23930","title":"Nearly Optimal Subdata Selection","display_name":"Nearly Optimal Subdata Selection","publication_year":2026,"publication_date":"2026-04-27","ids":{"openalex":"https://openalex.org/W7156923118","doi":"https://doi.org/10.48550/arxiv.2604.23930"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.23930","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.23930","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.23930","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134809126","display_name":"MIn Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Min","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134817850","display_name":"Wei Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083923496","display_name":"John Stufken","orcid":"https://orcid.org/0000-0001-9026-3610"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stufken, John","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134753426","display_name":"Ming-Chung Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Ming-Chung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134754579","display_name":"Ting Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Ting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329548","display_name":"Xueqin Wang","orcid":"https://orcid.org/0000-0001-9134-5327"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xueqin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.6517000198364258,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.6517000198364258,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.05550000071525574,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11502","display_name":"Facility Location and Emergency Management","score":0.050999999046325684,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.605400025844574},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5030999779701233},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4478999972343445},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.44130000472068787},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.32019999623298645},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.304500013589859}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6100000143051147},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.605400025844574},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5030999779701233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4657000005245209},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4489000141620636},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4478999972343445},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4284999966621399},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C2778153524","wikidata":"https://www.wikidata.org/wiki/Q4241335","display_name":"Optimality criterion","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.23930","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.23930","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.23930","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.23930","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"When,":[0],"in":[1,118],"terms":[2],"of":[3,6,11,27,31,45,142,163,166],"the":[4,9,32,67,122,157,164,180,185,189],"number":[5],"data":[7,33,51],"points,":[8],"size":[10,46],"a":[12,72,76,93,110,130,136],"dataset":[13],"exceeds":[14],"available":[15,50],"computing":[16],"resources,":[17],"or":[18],"when":[19],"labeling":[20],"is":[21,53,81,92,192],"expensive,":[22],"an":[23,60,161],"attractive":[24],"solution":[25],"consists":[26],"selecting":[28,43],"only":[29],"some":[30],"points":[34,52,56],"(subdata)":[35],"for":[36,42,71,113,179],"further":[37],"consideration.":[38],"A":[39],"central":[40],"question":[41,64],"subdata":[44,84,91,115,119,167,186],"$n$":[47,55],"from":[48],"$N$":[49,143],"which":[54],"to":[57,62,82,98,135],"select.":[58],"While":[59],"answer":[61],"this":[63],"depends":[65],"on":[66,78,103],"objective,":[68],"one":[69],"approach":[70],"parametric":[73],"model":[74],"and":[75,144,146,151,176,195],"focus":[77],"parameter":[79],"estimation":[80],"select":[83],"that":[85,120,133,184],"retains":[86],"maximal":[87],"information.":[88],"Identifying":[89],"such":[90],"classical":[94],"NP-hard":[95],"problem":[96],"due":[97],"its":[99,154],"inherent":[100],"discreteness.":[101],"Based":[102],"optimal":[104,123],"approximate":[105],"design":[106],"theory,":[107],"we":[108,128,152],"develop":[109,129],"new":[111,158,190],"methodology":[112,159,191],"information-based":[114],"selection,":[116],"resulting":[117],"approaches":[121],"solution.":[124],"To":[125],"achieve":[126],"this,":[127],"novel":[131],"algorithm":[132],"applies":[134],"general":[137],"model,":[138],"accommodates":[139],"arbitrary":[140],"choices":[141],"$n$,":[145],"supports":[147],"multiple":[148],"optimality":[149],"criteria,":[150],"prove":[153],"convergence.":[155],"Moreover,":[156],"facilitates":[160],"assessment":[162],"efficiency":[165],"selected":[168],"by":[169,172],"any":[170],"method":[171],"obtaining":[173],"tight":[174],"lower":[175],"upper":[177],"bounds":[178],"efficiency.":[181],"We":[182],"show":[183],"obtained":[187],"through":[188],"highly":[193],"efficient":[194],"outperforms":[196],"all":[197],"existing":[198],"methods.":[199]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-29T00:00:00"}
