{"id":"https://openalex.org/W2937040716","doi":"https://doi.org/10.4230/lipics.itcs.2019.29","title":"From Local to Robust Testing via Agreement Testing","display_name":"From Local to Robust Testing via Agreement Testing","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2937040716","doi":"https://doi.org/10.4230/lipics.itcs.2019.29","mag":"2937040716"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://drops.dagstuhl.de/opus/volltexte/2018/10122/pdf/LIPIcs-ITCS-2019-29.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418069","display_name":"Conference on Innovations in Theoretical Computer Science","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":[],"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/A5029616850","display_name":"Irit Dinur","orcid":"https://orcid.org/0000-0002-4335-5237"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"funder","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Irit Dinur","raw_affiliation_strings":["Weizmann Institute of Science, Rehovot, Israel"],"affiliations":[{"raw_affiliation_string":"Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019248097","display_name":"Prahladh Harsha","orcid":"https://orcid.org/0000-0002-2739-5642"},"institutions":[{"id":"https://openalex.org/I11947397","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27","country_code":"IN","type":"funder","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prahladh Harsha","raw_affiliation_strings":["Tata Institute of Fundamental Research, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Tata Institute of Fundamental Research, Mumbai, India","institution_ids":["https://openalex.org/I11947397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109110331","display_name":"Tali Kaufman","orcid":null},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"funder","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tali Kaufman","raw_affiliation_strings":["Bar-Ilan University, Ramat Gan, Israel"],"affiliations":[{"raw_affiliation_string":"Bar-Ilan University, Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053736571","display_name":"Noga Ron\u2010Zewi","orcid":"https://orcid.org/0000-0002-8416-893X"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"funder","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Noga Ron-Zewi","raw_affiliation_strings":["University of Haifa, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.44,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.577805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":77},"biblio":{"volume":null,"issue":"124","first_page":"18","last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9982,"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"}},"topics":[{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9982,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9979,"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/T10142","display_name":"Formal Methods in Verification","score":0.9962,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/property-testing","display_name":"Property testing","score":0.71260047},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.51332515},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46094167}],"concepts":[{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.7237248},{"id":"https://openalex.org/C123842658","wikidata":"https://www.wikidata.org/wiki/Q2918980","display_name":"Property testing","level":2,"score":0.71260047},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.631096},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5311593},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.51332515},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4705898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46697497},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46094167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45550585},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45379344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39991188},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37399036},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15526485},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.14047623},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1310583},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://drops.dagstuhl.de/opus/volltexte/2018/10122/pdf/LIPIcs-ITCS-2019-29.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418069","display_name":"Conference on Innovations in Theoretical Computer Science","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W771486247","https://openalex.org/W576273477","https://openalex.org/W386993322","https://openalex.org/W3128488067","https://openalex.org/W3122134285","https://openalex.org/W3037570012","https://openalex.org/W2951996605","https://openalex.org/W2951872822","https://openalex.org/W2951572681","https://openalex.org/W2592301945","https://openalex.org/W2492147201","https://openalex.org/W2407418868","https://openalex.org/W2244949580","https://openalex.org/W2218558516","https://openalex.org/W2048651540","https://openalex.org/W1918170838","https://openalex.org/W189554415","https://openalex.org/W158403657","https://openalex.org/W1540200135","https://openalex.org/W1535662966"],"abstract_inverted_index":{"A":[0],"local":[1,36,53,88,100,157,199,240,261,264,271,300],"tester":[2,37,101,108],"for":[3,41,85,95,119,160],"an":[4,69],"error-correcting":[5],"code":[6],"is":[7,38,58,68,127,247,250],"a":[8,13,106,128,164,224],"probabilistic":[9],"procedure":[10],"that":[11,48,94,133,168,210,230,239,276],"queries":[12],"small":[14],"subset":[15],"of":[16,52,74,87,114,122,131,142,171,174,178,187,198,207,257,260,263,273,292,299],"coordinates,":[17],"accepts":[18],"codewords":[19],"with":[20,26,109,155,296],"probability":[21,27],"one,":[22],"and":[23,78,149,181,201,236,249,283],"rejects":[24],"non-codewords":[25,42],"proportional":[28,59],"to":[29,60,105,204,212,223,270,287,289],"their":[30],"distance":[31,51,62],"from":[32,55,63],"the":[33,45,49,61,64,111,120,172,175,191,196,205,258],"code.":[34,65],"The":[35],"robust":[39,202,234],"if":[40],"it":[43,83,267],"satisfies":[44],"stronger":[46],"property":[47],"average":[50],"views":[54,57,262],"accepting":[56],"Robust":[66],"testing":[67,158,200,203,209,232,241],"important":[70],"component":[71],"in":[72,281],"constructions":[73,141],"locally":[75,144,293],"testable":[76,145,294],"codes":[77,125,132,146,162,275,295],"probabilistically":[79],"checkable":[80],"proofs":[81],"as":[82,137,139],"allows":[84],"composition":[86],"tests.\nIn":[89],"this":[90,154],"work":[91],"we":[92,194],"show":[93,229,238],"certain":[96],"codes,":[97,136],"any":[98],"(natural)":[99],"can":[102,219],"be":[103,220],"converted":[104],"roubst":[107],"roughly":[110],"same":[112],"number":[113],"queries.":[115],"Our":[116,245],"result":[117,177],"holds":[118],"class":[121,130],"affine-invariant":[123],"lifted":[124,161,188,274],"which":[126],"broad":[129],"includes":[134],"Reed-Muller":[135],"well":[138],"recent":[140],"high-rate":[143],"(Guo,":[147],"Kopparty,":[148],"Sudan,":[150],"ITCS":[151],"2013).":[152],"Instantiating":[153],"known":[156],"results":[159],"gives":[163],"more":[165],"direct":[166],"proof":[167,246],"improves":[169],"some":[170],"parameters":[173],"main":[176],"Guo,":[179],"Haramaty,":[180],"Sudan":[182],"(FOCS":[183],"2015),":[184],"showing":[185],"robustness":[186],"codes.\nTo":[189],"obtain":[190],"above":[192],"transformation":[193],"relate":[195],"notions":[197],"notion":[206],"agreement":[208,231,243],"attempts":[211],"find":[213],"out":[214],"whether":[215],"valid":[216],"partial":[217],"assignments":[218],"stitched":[221],"together":[222],"global":[225],"codeword.":[226],"We":[227],"first":[228],"implies":[233,242],"testing,":[235],"then":[237],"testing.":[244],"combinatorial,":[248],"based":[251],"on":[252],"expansion":[253],"/":[254],"sampling":[255],"properties":[256],"collection":[259],"testers.":[265],"Thus,":[266],"immediately":[268],"applies":[269],"testers":[272],"query":[277],"random":[278],"affine":[279],"subspaces":[280],"F_q^m,":[282],"moreover":[284],"seems":[285],"amenable":[286],"extension":[288],"other":[290],"families":[291,298],"expanding":[297],"views.":[301]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2937040716","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-04-16T01:50:46.885518","created_date":"2019-04-25"}