{"id":"https://openalex.org/W1570406128","doi":"https://doi.org/10.1145/2963103","title":"On the Tradeoff between Stability and Fit","display_name":"On the Tradeoff between Stability and Fit","publication_year":2016,"publication_date":"2016-09-21","ids":{"openalex":"https://openalex.org/W1570406128","doi":"https://doi.org/10.1145/2963103","mag":"1570406128"},"language":"en","primary_location":{"id":"doi:10.1145/2963103","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2963103","pdf_url":null,"source":{"id":"https://openalex.org/S137348503","display_name":"ACM Transactions on Algorithms","issn_l":"1549-6325","issn":["1549-6325","1549-6333"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Algorithms","raw_type":"journal-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/A5026385549","display_name":"Edith Cohen","orcid":"https://orcid.org/0000-0002-3926-8237"},"institutions":[{"id":"https://openalex.org/I4210117425","display_name":"Google (Israel)","ror":"https://ror.org/02c20ys54","country_code":"IL","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210117425","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Edith Cohen","raw_affiliation_strings":["Tel Aviv University, Israel and Google Research","Tel Aviv University, Israel and Google Research#TAB#"],"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Israel and Google Research","institution_ids":["https://openalex.org/I4210117425","https://openalex.org/I16391192"]},{"raw_affiliation_string":"Tel Aviv University, Israel and Google Research#TAB#","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031896681","display_name":"Graham Cormode","orcid":"https://orcid.org/0000-0002-0698-0922"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Graham Cormode","raw_affiliation_strings":["University of Warwick, Coventry, UK","[University Of Warwick, Coventry, UK]"],"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"[University Of Warwick, Coventry, UK]","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048558842","display_name":"Nick Duffield","orcid":"https://orcid.org/0000-0001-7211-1584"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nick Duffield","raw_affiliation_strings":["Texas A&amp;M University, TX, College Station TX, USA","Texas A&M University, TX, College Station TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University, TX, College Station TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Texas A&M University, TX, College Station TX, USA#TAB#","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022565251","display_name":"Carsten Lund","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carsten Lund","raw_affiliation_strings":["AT&amp;T Labs-Research, NJ, Bedminster, NJ"],"affiliations":[{"raw_affiliation_string":"AT&amp;T Labs-Research, NJ, Bedminster, NJ","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026385549"],"corresponding_institution_ids":["https://openalex.org/I16391192","https://openalex.org/I4210117425"],"apc_list":null,"apc_paid":null,"fwci":0.2895,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59783647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":"1","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9959999918937683,"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":0.9902999997138977,"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/computer-science","display_name":"Computer science","score":0.715852677822113},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6063675880432129},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5652157664299011},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.553846538066864},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5338529348373413},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4392690360546112},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4344887137413025},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.42260026931762695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22321298718452454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19329291582107544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1406019926071167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715852677822113},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6063675880432129},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5652157664299011},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.553846538066864},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5338529348373413},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4392690360546112},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4344887137413025},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.42260026931762695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22321298718452454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19329291582107544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1406019926071167},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2963103","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2963103","pdf_url":null,"source":{"id":"https://openalex.org/S137348503","display_name":"ACM Transactions on Algorithms","issn_l":"1549-6325","issn":["1549-6325","1549-6333"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:133208","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W579397108","https://openalex.org/W1528796068","https://openalex.org/W1928375144","https://openalex.org/W1969625919","https://openalex.org/W1971057413","https://openalex.org/W1973264045","https://openalex.org/W2000132155","https://openalex.org/W2001947543","https://openalex.org/W2013469283","https://openalex.org/W2027029507","https://openalex.org/W2029685080","https://openalex.org/W2031592993","https://openalex.org/W2034417563","https://openalex.org/W2036772106","https://openalex.org/W2044116626","https://openalex.org/W2045430818","https://openalex.org/W2066354072","https://openalex.org/W2092236286","https://openalex.org/W2114538202","https://openalex.org/W2130055503","https://openalex.org/W2143452574","https://openalex.org/W2148646461","https://openalex.org/W2798766386","https://openalex.org/W4230398107","https://openalex.org/W4233471163"],"related_works":["https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W2369178846","https://openalex.org/W2082716031","https://openalex.org/W2370289839","https://openalex.org/W2933494595","https://openalex.org/W1568049691","https://openalex.org/W1590096425","https://openalex.org/W2581850242","https://openalex.org/W2160325950"],"abstract_inverted_index":{"In":[0,155],"computing,":[1],"as":[2,16,175],"in":[3,109],"many":[4],"aspects":[5],"of":[6,36,49,74,105,121],"life,":[7],"changes":[8],"incur":[9],"cost.":[10],"Many":[11],"optimization":[12],"problems":[13,108],"are":[14,159],"formulated":[15],"a":[17,24,34,46,61,93,118,141],"one-time":[18],"instance":[19],"starting":[20],"from":[21,55,87],"scratch.":[22],"However,":[23],"common":[25],"case":[26],"that":[27,52,144,170],"arises":[28],"is":[29,117],"when":[30],"we":[31,65,78,158],"already":[32],"have":[33],"set":[35,48],"prior":[37],"assignments":[38],"and":[39,99,111,134,153,165],"must":[40],"decide":[41],"how":[42],"to":[43,45,68,80,124,132,146,161],"respond":[44],"new":[47,173],"constraints,":[50],"given":[51],"each":[53],"change":[54],"the":[56,70,84,88,101,176],"current":[57],"assignment":[58],"comes":[59],"at":[60],"price.":[62],"That":[63],"is,":[64],"would":[66],"like":[67],"maximize":[69],"fitness":[71],"or":[72],"efficiency":[73],"our":[75],"system,":[76],"but":[77],"need":[79],"balance":[81],"it":[82],"with":[83,130],"changeout":[85],"cost":[86],"previous":[89],"state.":[90],"We":[91,138],"provide":[92,140,162],"precise":[94],"formulation":[95],"for":[96],"this":[97],"tradeoff":[98],"analyze":[100],"resulting":[102],"stable":[103,119],"extensions":[104],"some":[106],"fundamental":[107],"measurement":[110],"analytics.":[112],"Our":[113],"main":[114],"technical":[115],"contribution":[116],"extension":[120],"Probability":[122],"Proportional":[123],"Size":[125],"(PPS)":[126],"weighted":[127],"random":[128],"sampling,":[129],"applications":[131],"monitoring":[133],"anomaly":[135],"detection":[136],"problems.":[137],"also":[139],"general":[142],"framework":[143],"applies":[145],"top-":[147],"k":[148],",":[149],"minimum":[150],"spanning":[151],"tree,":[152],"assignment.":[154],"both":[156],"cases,":[157],"able":[160],"exact":[163],"solutions":[164,174],"discuss":[166],"efficient":[167],"incremental":[168],"algorithms":[169],"can":[171],"find":[172],"input":[177],"changes.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
