{"id":"https://openalex.org/W1603362050","doi":"https://doi.org/10.1137/140991844","title":"Sample Complexity Bounds on Differentially Private Learning via Communication Complexity","display_name":"Sample Complexity Bounds on Differentially Private Learning via Communication Complexity","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1603362050","doi":"https://doi.org/10.1137/140991844","mag":"1603362050"},"language":"en","primary_location":{"id":"doi:10.1137/140991844","is_oa":false,"landing_page_url":"https://doi.org/10.1137/140991844","pdf_url":null,"source":{"id":"https://openalex.org/S153560523","display_name":"SIAM Journal on Computing","issn_l":"0097-5397","issn":["0097-5397","1095-7111"],"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 Journal on Computing","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1402.6278","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054675941","display_name":"Vitaly Feldman","orcid":"https://orcid.org/0000-0002-3904-759X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vitaly Feldman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103581925","display_name":"David Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Xiao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054675941"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4451,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75907199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"44","issue":"6","first_page":"1740","last_page":"1764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10237","display_name":"Cryptography and Data Security","score":0.9986000061035156,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9957000017166138,"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/differential-privacy","display_name":"Differential privacy","score":0.8968573808670044},{"id":"https://openalex.org/keywords/concept-class","display_name":"Concept class","score":0.745158314704895},{"id":"https://openalex.org/keywords/vc-dimension","display_name":"VC dimension","score":0.7202754616737366},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"Sample complexity","score":0.6731203198432922},{"id":"https://openalex.org/keywords/communication-complexity","display_name":"Communication complexity","score":0.5677156448364258},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.52323979139328},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.522821307182312},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4970381557941437},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4964609742164612},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.48579907417297363},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4824433922767639},{"id":"https://openalex.org/keywords/mistake","display_name":"Mistake","score":0.47758248448371887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45299196243286133},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.44629204273223877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4409429132938385},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44047844409942627},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4329671561717987},{"id":"https://openalex.org/keywords/complexity-class","display_name":"Complexity class","score":0.41557639837265015},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.3226284980773926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3202627897262573},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29646843671798706},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2705538272857666}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8968573808670044},{"id":"https://openalex.org/C203313322","wikidata":"https://www.wikidata.org/wiki/Q5158394","display_name":"Concept class","level":2,"score":0.745158314704895},{"id":"https://openalex.org/C119322782","wikidata":"https://www.wikidata.org/wiki/Q2662236","display_name":"VC dimension","level":2,"score":0.7202754616737366},{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.6731203198432922},{"id":"https://openalex.org/C179145077","wikidata":"https://www.wikidata.org/wiki/Q5154130","display_name":"Communication complexity","level":2,"score":0.5677156448364258},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.52323979139328},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.522821307182312},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4970381557941437},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4964609742164612},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.48579907417297363},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4824433922767639},{"id":"https://openalex.org/C2777179996","wikidata":"https://www.wikidata.org/wiki/Q911222","display_name":"Mistake","level":2,"score":0.47758248448371887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45299196243286133},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.44629204273223877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4409429132938385},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44047844409942627},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4329671561717987},{"id":"https://openalex.org/C39637292","wikidata":"https://www.wikidata.org/wiki/Q908207","display_name":"Complexity class","level":3,"score":0.41557639837265015},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.3226284980773926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3202627897262573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29646843671798706},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2705538272857666},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1137/140991844","is_oa":false,"landing_page_url":"https://doi.org/10.1137/140991844","pdf_url":null,"source":{"id":"https://openalex.org/S153560523","display_name":"SIAM Journal on Computing","issn_l":"0097-5397","issn":["0097-5397","1095-7111"],"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 Journal on Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1402.6278","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1402.6278","pdf_url":"https://arxiv.org/pdf/1402.6278","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":"mag:1603362050","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1402.6278.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.454.4817","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.454.4817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://researcher.watson.ibm.com/researcher/files/us-vitaly/FX_PPACCC.0514.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.762.3387","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.762.3387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1402.6278.pdf","raw_type":"text"},{"id":"doi:10.48550/arxiv.1402.6278","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1402.6278","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:1402.6278","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1402.6278","pdf_url":"https://arxiv.org/pdf/1402.6278","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G2436444117","display_name":null,"funder_award_id":"ANR-12-BS02-005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4125688947","display_name":null,"funder_award_id":"CNS-1237235","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6211159584","display_name":null,"funder_award_id":"1237235","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6702880738","display_name":null,"funder_award_id":"ANR-12","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1603362050.pdf","grobid_xml":"https://content.openalex.org/works/W1603362050.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2256202","https://openalex.org/W80310092","https://openalex.org/W136004222","https://openalex.org/W1485110750","https://openalex.org/W1524581953","https://openalex.org/W1609370892","https://openalex.org/W1616697096","https://openalex.org/W1801581302","https://openalex.org/W1844039599","https://openalex.org/W1873763122","https://openalex.org/W1964839993","https://openalex.org/W1993116423","https://openalex.org/W1995897489","https://openalex.org/W2010523825","https://openalex.org/W2019363670","https://openalex.org/W2027595342","https://openalex.org/W2029905190","https://openalex.org/W2042469398","https://openalex.org/W2053801139","https://openalex.org/W2060036647","https://openalex.org/W2081177492","https://openalex.org/W2084544490","https://openalex.org/W2088263428","https://openalex.org/W2089797683","https://openalex.org/W2096223017","https://openalex.org/W2103096545","https://openalex.org/W2120383799","https://openalex.org/W2121372565","https://openalex.org/W2129113961","https://openalex.org/W2138865266","https://openalex.org/W2139709458","https://openalex.org/W2165461157","https://openalex.org/W2245160765","https://openalex.org/W2911978475","https://openalex.org/W2950181908","https://openalex.org/W2951851906","https://openalex.org/W2953239333","https://openalex.org/W3103450999","https://openalex.org/W4205228770","https://openalex.org/W4214821481","https://openalex.org/W4238893454"],"related_works":["https://openalex.org/W2953055377","https://openalex.org/W2949611647","https://openalex.org/W3046893838","https://openalex.org/W3172092965","https://openalex.org/W3046249078","https://openalex.org/W2891003389","https://openalex.org/W3119742123","https://openalex.org/W3046922469","https://openalex.org/W3046593760","https://openalex.org/W1658965807","https://openalex.org/W3037464234","https://openalex.org/W3100897494","https://openalex.org/W3104992254","https://openalex.org/W2979864439","https://openalex.org/W3008844292","https://openalex.org/W1981517317","https://openalex.org/W1574804423","https://openalex.org/W2401095126","https://openalex.org/W168548896","https://openalex.org/W2963103083"],"abstract_inverted_index":{"In":[0],"this":[1,259],"work":[2],"we":[3,261],"analyze":[4],"the":[5,44,53,60,145,186,200,206,210,223,230,245,251,263,273,277,282,307,339,351,355],"sample":[6,187,201,211,231,340,352],"complexity":[7,64,188,202,212,232,249,341,353],"of":[8,22,46,59,65,79,97,128,144,165,189,203,213,233,238,250,279,310,342,354,374],"classification":[9],"by":[10,25,57],"differentially":[11,235],"private":[12,66,236,345,358],"algorithms.":[13],"Differential":[14],"privacy":[15,23,175,194,207],"is":[16,226,272,348,361],"a":[17,77,95,239,318,334],"strong":[18],"and":[19,71,107,124,140,161,222,244,371],"well-studied":[20],"notion":[21],"introduced":[24],"Dwork":[26],"et":[27,85],"al.":[28,86],"[Lecture":[29],"Notes":[30,111],"in":[31,76,112,130,150,281],"Comput.":[32,113],"Sci.":[33,114],"3876,":[34],"Springer,":[35,116],"New":[36,117],"York,":[37,118],"2006,":[38,119],"pp.":[39,92,120,134,155,168,292,377],"265--284]":[40],"that":[41,43,185,300,322,338],"ensures":[42],"output":[45],"an":[47,227,365],"algorithm":[48],"leaks":[49],"little":[50],"information":[51],"about":[52],"data":[54],"point":[55],"provided":[56],"any":[58,314,330],"participating":[61],"individuals.":[62],"Sample":[63],"probably":[67],"approximately":[68],"correct":[69],"(PAC)":[70],"agnostic":[72],"learning":[73,173,180,190,204,214,237,284,347,360],"was":[74],"studied":[75],"number":[78,96,278],"prior":[80],"works":[81],"starting":[82],"with":[83,174,191,215],"Kasiviswanathan":[84],"[SIAM":[87],"J.":[88],"Comput.,":[89],"40":[90],"(2011),":[91],"793--826].":[93],"However,":[94],"basic":[98],"questions":[99],"remain":[100],"open":[101,366],"[A.":[102],"Beimel,":[103,137,158,369],"S.":[104],"P.":[105],"Kasiviswanathan,":[106],"K.":[108,122,138,159],"Nissim,":[109,139,160,370],"Lecture":[110],"5978,":[115],"437--454;":[121],"Chaudhuri":[123],"D.":[125],"Hsu,":[126],"Proceedings":[127,143,164],"Conference":[129,147],"Learning":[131],"Theory,":[132],"2011,":[133],"155--186;":[135],"A.":[136,157],"U.":[141,162],"Stemmer,":[142,163],"4th":[146],"on":[148,296],"Innovations":[149],"Theoretical":[151],"Computer":[152],"Science,":[153],"2013,":[154,167,376],"97--110;":[156],"APPROX+RANDOM,":[166,375],"363--378],":[169],"most":[170],"notably":[171],"whether":[172],"requires":[176],"more":[177],"samples":[178],"than":[179,199,306],"without":[181,205],"privacy.":[182,218],"We":[183],"show":[184],"(pure)":[192,234,343],"differential":[193,217],"can":[195,302],"be":[196,303],"arbitrarily":[197],"higher":[198,305],"constraint":[208],"or":[209],"approximate":[216,356],"Our":[219],"second":[220],"contribution":[221],"main":[224],"tool":[225],"equivalence":[228,260],"between":[229],"concept":[240],"class":[241,319,335],"$C$":[242,320,336],"($\\mathrm{SCDP}(C)$)":[243],"randomized":[246],"one-way":[247],"communication":[248],"evaluation":[252],"problem":[253,367],"for":[254],"concepts":[255],"from":[256,368],"$C$.":[257,311],"Using":[258],"prove":[262],"following":[264],"bounds:":[265],"(a)":[266],"$\\mathrm{SCDP}(C)":[267,325],"=":[268],"\\Omega(\\mathrm{LDim}(C))$,":[269],"where":[270],"$\\mathrm{LDim}(C)$":[271,297],"Littlestone's":[274],"dimension":[275,309],"characterizing":[276],"mistakes":[280],"online-mistake-bound":[283],"model":[285],"[N.":[286],"Littlestone,":[287],"Machine":[288],"Learning,":[289],"2":[290],"(1987),":[291],"285--318].":[293],"Known":[294],"bounds":[295],"then":[298],"imply":[299],"$\\mathrm{SCDP}(C)$":[301],"much":[304],"Vapnik--Chervonenkis":[308],"(b)":[312],"For":[313,329],"$t$,":[315,331],"there":[316,332],"exists":[317,333],"such":[321,337],"$\\mathrm{LDim}(C)=2$":[323],"but":[324,350],"\\geq":[326],"t$.":[327],"(c)":[328],"$\\alpha$-differentially":[344],"PAC":[346,359],"$\\Omega(t/\\alpha)$":[349],"$(\\alpha,\\beta)$-differentially":[357],"$O(\\log(1/\\beta)/\\alpha)$.":[362],"This":[363],"resolves":[364],"Stemmer":[372],"[Proceedings":[373],"363--378].":[378]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
