{"id":"https://openalex.org/W4414786688","doi":"https://doi.org/10.1109/tit.2026.3675697","title":"Optimal Non-Adaptive Group Testing With One-Sided Error Guarantees","display_name":"Optimal Non-Adaptive Group Testing With One-Sided Error Guarantees","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W4414786688","doi":"https://doi.org/10.1109/tit.2026.3675697"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2026.3675697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2026.3675697","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Information Theory","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.10374","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119832016","display_name":"Daniel McMorrow","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Daniel McMorrow","raw_affiliation_strings":["Department of Computer Science, School of Computing, National University of Singapore (NUS), Lower Kent Ridge Rd, Singapore"],"raw_orcid":"https://orcid.org/0009-0003-3629-9622","affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Computing, National University of Singapore (NUS), Lower Kent Ridge Rd, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046337437","display_name":"Jonathan Scarlett","orcid":"https://orcid.org/0000-0003-1403-9160"},"institutions":[{"id":"https://openalex.org/I144291393","display_name":"Data Storage Institute","ror":"https://ror.org/03k5xes38","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I144291393"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jonathan Scarlett","raw_affiliation_strings":["Department of Computer Science, Department of Mathematics, Institute of Data Science, NUS, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-1403-9160","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Department of Mathematics, Institute of Data Science, NUS, Singapore","institution_ids":["https://openalex.org/I144291393"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5119832016"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00068041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"5","first_page":"3497","last_page":"3517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9038000106811523,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.640500009059906},{"id":"https://openalex.org/keywords/converse","display_name":"Converse","score":0.6294000148773193},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5734999775886536},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5544000267982483},{"id":"https://openalex.org/keywords/group-testing","display_name":"Group testing","score":0.5151000022888184},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4740000069141388},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.42730000615119934},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4074999988079071}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.640500009059906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6295999884605408},{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.6294000148773193},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5734999775886536},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5544000267982483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5245000123977661},{"id":"https://openalex.org/C177580056","wikidata":"https://www.wikidata.org/wiki/Q5611272","display_name":"Group testing","level":2,"score":0.5151000022888184},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4740000069141388},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4074999988079071},{"id":"https://openalex.org/C136979486","wikidata":"https://www.wikidata.org/wiki/Q773483","display_name":"Existential quantification","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3605000078678131},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29499998688697815},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.2921999990940094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2854999899864197},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C40696583","wikidata":"https://www.wikidata.org/wiki/Q989120","display_name":"Type I and type II errors","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.26260000467300415},{"id":"https://openalex.org/C188521023","wikidata":"https://www.wikidata.org/wiki/Q6795644","display_name":"Maximal set","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tit.2026.3675697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2026.3675697","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2506.10374","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.10374","pdf_url":"https://arxiv.org/pdf/2506.10374","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},{"id":"pmh:oai:arXiv.org:2506.10374","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2506.10374","pdf_url":"https://arxiv.org/pdf/2506.10374","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2506.10374","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.10374","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.10374","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.10374","pdf_url":"https://arxiv.org/pdf/2506.10374","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320698","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"group":[1],"testing":[2],"problem":[3],"consists":[4],"of":[5,10,18,23,51,61,102,115,131,143],"determining":[6],"a":[7,15,21,65,100,129,136],"sparse":[8],"subset":[9,101],"defective":[11,34,53],"items":[12,19,62],"from":[13],"within":[14],"larger":[16],"set":[17,54],"via":[20],"series":[22],"tests,":[24],"where":[25,47,82],"each":[26],"test":[27],"outcome":[28],"indicates":[29],"whether":[30],"at":[31],"least":[32],"one":[33],"item":[35],"is":[36,55,147],"included":[37],"in":[38],"the":[39,43,48,52,112,132,141],"test.":[40],"We":[41],"study":[42],"approximate":[44,79,117],"recovery":[45,49,80],"setting,":[46],"criterion":[50],"relaxed":[56],"to":[57,64,69],"allow":[58,84],"some":[59],"number":[60],"(up":[63],"certain":[66],"specified":[67],"threshold)":[68],"be":[70],"misclassified.":[71],"In":[72],"particular,":[73],"we":[74,83,104,134],"consider":[75],"<italic":[76],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">one-sided</i>":[78],"criteria,":[81],"either":[85],"only":[86,90,97,126],"false":[87,91,95,124],"negative":[88],"or":[89],"positive":[92],"misclassifications.":[93],"Under":[94,123],"negatives":[96],"(i.e.,":[98,127],"finding":[99,128],"defectives),":[103,133],"show":[105],"that":[106,140],"there":[107],"exists":[108],"an":[109],"algorithm":[110],"matching":[111],"optimal":[113],"threshold":[114],"two-sided":[116],"recovery,":[118],"albeit":[119],"with":[120],"exponential":[121],"runtime.":[122],"positives":[125],"superset":[130],"provide":[135],"converse":[137],"bound":[138],"showing":[139],"better":[142],"two":[144],"existing":[145],"algorithms":[146],"optimal.":[148]},"counts_by_year":[],"updated_date":"2026-04-27T06:02:13.124806","created_date":"2025-10-03T00:00:00"}
