{"id":"https://openalex.org/W1677000716","doi":"https://doi.org/10.1109/isit.2015.7282829","title":"Adaptive estimation in weighted group testing","display_name":"Adaptive estimation in weighted group testing","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1677000716","doi":"https://doi.org/10.1109/isit.2015.7282829","mag":"1677000716"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2015.7282829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-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/A5022867638","display_name":"Jayadev Acharya","orcid":"https://orcid.org/0000-0003-2170-3015"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jayadev Acharya","raw_affiliation_strings":["EECS, MIT","EECS MIT, USA"],"affiliations":[{"raw_affiliation_string":"EECS, MIT","institution_ids":[]},{"raw_affiliation_string":"EECS MIT, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071869723","display_name":"Cl\u00e9ment L. Canonne","orcid":"https://orcid.org/0000-0001-7153-5211"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clement L. Canonne","raw_affiliation_strings":["CS, Columbia University","CS, Columbia University, USA"],"affiliations":[{"raw_affiliation_string":"CS, Columbia University","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"CS, Columbia University, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047778197","display_name":"Gautam Kamath","orcid":"https://orcid.org/0000-0003-0048-2559"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gautam Kamath","raw_affiliation_strings":["EECS, MIT","EECS MIT, USA"],"affiliations":[{"raw_affiliation_string":"EECS, MIT","institution_ids":[]},{"raw_affiliation_string":"EECS MIT, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022867638"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8828,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72759192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2116","last_page":"2120"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9872000217437744,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9746000170707703,"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/generalization","display_name":"Generalization","score":0.8395596742630005},{"id":"https://openalex.org/keywords/group-testing","display_name":"Group testing","score":0.6735331416130066},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.6413097977638245},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6159085035324097},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.5937880277633667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.533288300037384},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5134764313697815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3702138364315033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34853577613830566},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34743615984916687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31716227531433105},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2545238137245178}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8395596742630005},{"id":"https://openalex.org/C177580056","wikidata":"https://www.wikidata.org/wiki/Q5611272","display_name":"Group testing","level":2,"score":0.6735331416130066},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6413097977638245},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6159085035324097},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.5937880277633667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.533288300037384},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5134764313697815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3702138364315033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34853577613830566},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34743615984916687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31716227531433105},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2545238137245178},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2015.7282829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W605092692","https://openalex.org/W1544735579","https://openalex.org/W1550373769","https://openalex.org/W1595409123","https://openalex.org/W1678954343","https://openalex.org/W1828331400","https://openalex.org/W1894098103","https://openalex.org/W1928529719","https://openalex.org/W1967328230","https://openalex.org/W1975680434","https://openalex.org/W1988645907","https://openalex.org/W2015649155","https://openalex.org/W2025533349","https://openalex.org/W2027689065","https://openalex.org/W2029685080","https://openalex.org/W2062163196","https://openalex.org/W2069878969","https://openalex.org/W2073370745","https://openalex.org/W2085845250","https://openalex.org/W2087483024","https://openalex.org/W2101627389","https://openalex.org/W2155658392","https://openalex.org/W2173497155","https://openalex.org/W2303097896","https://openalex.org/W2460522191","https://openalex.org/W2899702797","https://openalex.org/W2905839814","https://openalex.org/W2963041981","https://openalex.org/W2963205047","https://openalex.org/W2963597818","https://openalex.org/W3101447189","https://openalex.org/W3103169419","https://openalex.org/W4297574784","https://openalex.org/W6638567105","https://openalex.org/W6639617120","https://openalex.org/W6640148065","https://openalex.org/W6654237713","https://openalex.org/W6763859447"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W3022899148","https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W2003071155","https://openalex.org/W2108342289","https://openalex.org/W2372335426","https://openalex.org/W2618638795"],"abstract_inverted_index":{"We":[0,55,107],"consider":[1,89],"a":[2,13,18,42,57,66],"generalization":[3,58,113],"of":[4,7,12,17,59,78,114],"the":[5,9,27,32,52,70,75,79,84,115,132],"problem":[6,116],"estimating":[8],"support":[10],"size":[11],"hidden":[14],"subset":[15],"S":[16],"universe":[19],"U":[20],"from":[21],"samples.":[22],"This":[23],"framework":[24],"falls":[25],"under":[26],"group":[28,39,86],"testing":[29],"[1]":[30],"and":[31,69,103,125],"conditional":[33],"sampling":[34],"models":[35],"[2,":[36],"3].":[37],"In":[38,81],"testing,":[40,87],"for":[41,131],"query":[43,95],"set,":[44],"we":[45,88],"are":[46],"told":[47],"if":[48],"it":[49],"intersects":[50],"with":[51,120],"set":[53],"S.":[54],"propose":[56],"this":[60,111],"problem,":[61],"where":[62,93],"each":[63,94],"element":[64,98],"has":[65],"non-negative":[67],"weight,":[68],"objective":[71],"is":[72],"to":[73,83],"estimate":[74],"total":[76],"weight":[77],"universe.":[80],"contrast":[82],"regular":[85],"stronger":[90],"access":[91],"models,":[92],"outputs":[96],"an":[97,100],"(with":[99],"appropriate":[101],"probability),":[102],"reveals":[104],"its":[105],"weight.":[106],"show":[108],"that":[109],"in":[110],"natural":[112],"can":[117],"be":[118],"solved":[119],"only":[121],"polylogarithmically":[122],"many":[123],"queries,":[124],"also":[126],"discuss":[127],"some":[128],"lower":[129],"bounds":[130],"problem.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}