{"id":"https://openalex.org/W2790191154","doi":"https://doi.org/10.3390/e20020108","title":"Sequential Change-Point Detection via Online Convex Optimization","display_name":"Sequential Change-Point Detection via Online Convex Optimization","publication_year":2018,"publication_date":"2018-02-07","ids":{"openalex":"https://openalex.org/W2790191154","doi":"https://doi.org/10.3390/e20020108","mag":"2790191154","pmid":"https://pubmed.ncbi.nlm.nih.gov/33265199"},"language":"en","primary_location":{"id":"doi:10.3390/e20020108","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20020108","pdf_url":"https://www.mdpi.com/1099-4300/20/2/108/pdf?version=1518005600","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/20/2/108/pdf?version=1518005600","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101426208","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0001-7984-3219"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA"],"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075007159","display_name":"Liyan Xie","orcid":"https://orcid.org/0000-0003-3009-4514"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liyan Xie","raw_affiliation_strings":["H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA"],"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047736740","display_name":"Yao Xie","orcid":"https://orcid.org/0000-0001-6777-2951"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yao Xie","raw_affiliation_strings":["H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA"],"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100775362","display_name":"Huan Xu","orcid":"https://orcid.org/0000-0002-4468-5019"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Xu","raw_affiliation_strings":["H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA"],"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047736740"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.7919,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.91184461,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"2","first_page":"108","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.996399998664856,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.6718930602073669},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.6545978784561157},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6282662153244019},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6072834134101868},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6047258377075195},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.5585654377937317},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5400058031082153},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5017976760864258},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4453257620334625},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4186289310455322},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38983801007270813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33897489309310913},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3234124779701233},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15330317616462708}],"concepts":[{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.6718930602073669},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.6545978784561157},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6282662153244019},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6072834134101868},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6047258377075195},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.5585654377937317},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5400058031082153},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5017976760864258},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4453257620334625},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4186289310455322},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38983801007270813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33897489309310913},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3234124779701233},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15330317616462708},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/e20020108","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20020108","pdf_url":"https://www.mdpi.com/1099-4300/20/2/108/pdf?version=1518005600","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33265199","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33265199","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:arXiv.org:1701.06952","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1701.06952","pdf_url":"https://arxiv.org/pdf/1701.06952","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":"pmh:oai:doaj.org/article:cbb2a118b3d9437494d87364ab55e713","is_oa":true,"landing_page_url":"https://doaj.org/article/cbb2a118b3d9437494d87364ab55e713","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 20, Iss 2, p 108 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/20/2/108/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e20020108","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 20; Issue 2; Pages: 108","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7512601","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7512601","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e20020108","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20020108","pdf_url":"https://www.mdpi.com/1099-4300/20/2/108/pdf?version=1518005600","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1171700966","display_name":null,"funder_award_id":"NSF CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1333968068","display_name":null,"funder_award_id":"153874","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G198916478","display_name":"CAREER: Quick Detection for Streaming Data Over Dynamic Networks","funder_award_id":"1650913","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3359298548","display_name":null,"funder_award_id":"CMMI-1538746","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G3387330441","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G3572953870","display_name":null,"funder_award_id":"CCF-1442635","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3799743920","display_name":"Combining Statistical Process Control and Optimization via Simulation for Robust Sensor Network Design in the Presence of Sensor Measurement Error","funder_award_id":"1538746","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5923295991","display_name":null,"funder_award_id":"CCF-1442635","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G5954070948","display_name":null,"funder_award_id":"CMMI-","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7906066230","display_name":"CyberSEES: Type 2: Collaborative Research: Real-time Ambient Noise Seismic Imaging for Subsurface Sustainability","funder_award_id":"1442635","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7911581280","display_name":null,"funder_award_id":"CCF-1650913","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G8104471843","display_name":null,"funder_award_id":"CMMI-1538746","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G855777396","display_name":null,"funder_award_id":"CCF-1650913","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2790191154.pdf","grobid_xml":"https://content.openalex.org/works/W2790191154.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W639907764","https://openalex.org/W1492251543","https://openalex.org/W1505731132","https://openalex.org/W1506313179","https://openalex.org/W1532149506","https://openalex.org/W1546020435","https://openalex.org/W1570963478","https://openalex.org/W1742114735","https://openalex.org/W1964482013","https://openalex.org/W1971084072","https://openalex.org/W1978259121","https://openalex.org/W1981904416","https://openalex.org/W1985936867","https://openalex.org/W1990142556","https://openalex.org/W1993248623","https://openalex.org/W1997793604","https://openalex.org/W1999907325","https://openalex.org/W2004094275","https://openalex.org/W2010887113","https://openalex.org/W2012037220","https://openalex.org/W2014002306","https://openalex.org/W2016384870","https://openalex.org/W2018319586","https://openalex.org/W2024793977","https://openalex.org/W2028132509","https://openalex.org/W2040019525","https://openalex.org/W2040335964","https://openalex.org/W2040373108","https://openalex.org/W2051896275","https://openalex.org/W2051903196","https://openalex.org/W2066731174","https://openalex.org/W2073621531","https://openalex.org/W2077723394","https://openalex.org/W2096015213","https://openalex.org/W2097581234","https://openalex.org/W2097898164","https://openalex.org/W2103912032","https://openalex.org/W2112072995","https://openalex.org/W2113508851","https://openalex.org/W2120340025","https://openalex.org/W2123378338","https://openalex.org/W2126007324","https://openalex.org/W2136915286","https://openalex.org/W2137656905","https://openalex.org/W2154473414","https://openalex.org/W2157164574","https://openalex.org/W2166426063","https://openalex.org/W2170725991","https://openalex.org/W2404984384","https://openalex.org/W2499696415","https://openalex.org/W2504144188","https://openalex.org/W2513180554","https://openalex.org/W2518887247","https://openalex.org/W2752404929","https://openalex.org/W2761707930","https://openalex.org/W2963653729","https://openalex.org/W2963785568","https://openalex.org/W2963913959","https://openalex.org/W2964301762","https://openalex.org/W3098156977","https://openalex.org/W3100345934","https://openalex.org/W3101788651","https://openalex.org/W3101806252","https://openalex.org/W3102968705","https://openalex.org/W3103729929","https://openalex.org/W3105835001","https://openalex.org/W4205841652","https://openalex.org/W4247848308","https://openalex.org/W4248643090","https://openalex.org/W4249116379","https://openalex.org/W4249599116","https://openalex.org/W4256232412","https://openalex.org/W4293052541","https://openalex.org/W4298025466","https://openalex.org/W4301668410","https://openalex.org/W6660551181","https://openalex.org/W6678894327","https://openalex.org/W6731892534"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2947263763","https://openalex.org/W4288373430","https://openalex.org/W3036260055","https://openalex.org/W4287753704","https://openalex.org/W3158925485","https://openalex.org/W2996735312","https://openalex.org/W2994171794"],"abstract_inverted_index":{"Sequential":[0],"change-point":[1,139],"detection":[2,29],"when":[3,123],"the":[4,19,69,78,81,98,102,107,111,114,124,146],"distribution":[5],"parameters":[6,21],"are":[7,22],"unknown":[8],"is":[9,90,131],"a":[10,26,52,74,120,135],"fundamental":[11],"problem":[12],"in":[13],"statistics":[14],"and":[15,77,140,144,157],"machine":[16],"learning.":[17],"When":[18,68],"post-change":[20],"unknown,":[23],"we":[24,85],"consider":[25],"set":[27],"of":[28,106,151],"procedures":[30],"based":[31],"on":[32],"sequential":[33,138],"likelihood":[34,63],"ratios":[35],"with":[36],"non-anticipating":[37],"estimators":[38,64,79],"constructed":[39],"using":[40],"online":[41,47,141,152],"convex":[42,142],"optimization":[43,143],"algorithms":[44],"such":[45],"as":[46],"mirror":[48,153],"descent,":[49],"which":[50],"provides":[51],"more":[53],"versatile":[54],"approach":[55,89],"to":[56,73,119,127],"tackling":[57],"complex":[58],"situations":[59],"where":[60],"recursive":[61],"maximum":[62],"cannot":[65],"be":[66],"found.":[67],"underlying":[70],"distributions":[71],"belong":[72],"exponential":[75],"family":[76],"satisfy":[80],"logarithm":[82],"regret":[83,148],"property,":[84],"show":[86],"that":[87,97],"this":[88],"nearly":[91],"second-order":[92],"asymptotically":[93,117],"optimal.":[94],"This":[95],"means":[96],"upper":[99],"bound":[100,116,149],"for":[101],"false":[103],"alarm":[104],"rate":[105],"algorithm":[108],"(measured":[109],"by":[110,133],"average-run-length)":[112],"meets":[113],"lower":[115],"up":[118],"log-log":[121],"factor":[122],"threshold":[125],"tends":[126],"infinity.":[128],"Our":[129],"proof":[130],"achieved":[132],"making":[134],"connection":[136],"between":[137],"leveraging":[145],"logarithmic":[147],"property":[150],"descent":[154],"algorithm.":[155],"Numerical":[156],"real":[158],"data":[159],"examples":[160],"validate":[161],"our":[162],"theory.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}