{"id":"https://openalex.org/W3046737216","doi":"https://doi.org/10.1145/3377929.3389957","title":"Population control meets doob's martingale theorems","display_name":"Population control meets doob's martingale theorems","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046737216","doi":"https://doi.org/10.1145/3377929.3389957","mag":"3046737216"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3389957","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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/A5049572535","display_name":"Marie-Liesse Cauwet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Marie-Liesse Cauwet","raw_affiliation_strings":["Univ Gustave Eiffel, Marne-la-Vall\u00e9e"],"affiliations":[{"raw_affiliation_string":"Univ Gustave Eiffel, Marne-la-Vall\u00e9e","institution_ids":["https://openalex.org/I4210154111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034012952","display_name":"Olivier Teytaud","orcid":"https://orcid.org/0000-0001-5570-5209"},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Olivier Teytaud","raw_affiliation_strings":["Facebook AI Research"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I2252078561"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049572535"],"corresponding_institution_ids":["https://openalex.org/I4210154111"],"apc_list":null,"apc_paid":null,"fwci":0.2501,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53992665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9944999814033508,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/martingale","display_name":"Martingale (probability theory)","score":0.6385841965675354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6082828044891357},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5099486112594604},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4937184751033783},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46272507309913635},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43669500946998596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.378558486700058},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37476590275764465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35620126128196716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31721121072769165},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.23253658413887024},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06430444121360779}],"concepts":[{"id":"https://openalex.org/C48406656","wikidata":"https://www.wikidata.org/wiki/Q534112","display_name":"Martingale (probability theory)","level":2,"score":0.6385841965675354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6082828044891357},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5099486112594604},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4937184751033783},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46272507309913635},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43669500946998596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.378558486700058},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37476590275764465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35620126128196716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31721121072769165},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.23253658413887024},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06430444121360779},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3389957","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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":3,"referenced_works":["https://openalex.org/W1498178627","https://openalex.org/W1975245144","https://openalex.org/W2084572100"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W1970319972","https://openalex.org/W2953254336","https://openalex.org/W2112030392"],"abstract_inverted_index":{"We":[0],"study":[1],"a":[2,44],"test-based":[3],"population":[4,11],"size":[5],"adaptation":[6],"(TBPSA)":[7],"method,":[8],"inspired":[9],"from":[10],"control,":[12],"in":[13,65],"the":[14,19,26,29,31,34,40,50,55,66],"noise-free":[15,67],"multimodal":[16,68],"case.":[17],"In":[18],"noisy":[20],"setting,":[21],"TBPSA":[22,61],"usually":[23],"recommends,":[24],"at":[25],"end":[27],"of":[28,33,39],"run,":[30],"center":[32],"Gaussian":[35],"as":[36],"an":[37],"approximation":[38],"optimum.":[41],"Combined":[42],"with":[43],"more":[45],"naive":[46],"recommendation,":[47],"namely":[48],"recommending":[49],"visited":[51],"point":[52],"which":[53],"had":[54],"best":[56],"fitness":[57],"value":[58],"so":[59],"far,":[60],"is":[62],"also":[63],"powerful":[64],"context.":[69]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}