{"id":"https://openalex.org/W4385188306","doi":"https://doi.org/10.1145/3583133.3590729","title":"Generative Meta-Learning Robust Quality-Diversity Portfolio","display_name":"Generative Meta-Learning Robust Quality-Diversity Portfolio","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385188306","doi":"https://doi.org/10.1145/3583133.3590729"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3590729","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3590729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","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/A5033353054","display_name":"Kamer Ali Y\u00fcksel","orcid":"https://orcid.org/0000-0002-9404-8472"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kamer Ali Yuksel","raw_affiliation_strings":["aiXplain, inc., Los Gatos, CA, United States of America"],"affiliations":[{"raw_affiliation_string":"aiXplain, inc., Los Gatos, CA, United States of America","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033353054"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6043,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71145883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"787","last_page":"790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9962000250816345,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9962000250816345,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9944000244140625,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6876678466796875},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.5102324485778809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5050264000892639},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48249220848083496},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4314073324203491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40353450179100037},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3645155131816864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2452172040939331}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6876678466796875},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.5102324485778809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5050264000892639},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48249220848083496},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4314073324203491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40353450179100037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3645155131816864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2452172040939331},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3590729","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3590729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2130990842","https://openalex.org/W2135046866","https://openalex.org/W2414550195","https://openalex.org/W2962687375","https://openalex.org/W3007384386","https://openalex.org/W3024793229","https://openalex.org/W3122780569","https://openalex.org/W4255427937","https://openalex.org/W6807091881"],"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/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2062023542"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,9,16,37,40,45,53,62,85,95,134,193],"novel":[4],"meta-learning":[5],"approach":[6,142],"to":[7,20,27,183],"optimize":[8],"robust":[10,135,173,194],"portfolio":[11,137,161],"ensemble.":[12,195],"The":[13,32,77,88,109,117,141,177,196],"method":[14,119,179],"uses":[15],"deep":[17],"generative":[18,33],"model":[19,34,51,81],"generate":[21],"diverse":[22],"and":[23,44,60,174,198],"high-quality":[24],"sub-portfolios":[25,126],"combined":[26],"form":[28],"the":[29,50,71,75,80,92,102,113,122,125,153,159,165,168,199,203],"ensemble":[30,136,160],"portfolio.":[31],"consists":[35],"of":[36,57,64,74,79,115,124,167],"convolutional":[38,89],"layer,":[39],"stateful":[41],"LSTM":[42,103],"module,":[43],"dense":[46,110],"network.":[47],"During":[48],"training,":[49],"takes":[52],"randomly":[54],"sampled":[55],"batch":[56],"Gaussian":[58],"noise":[59,93],"outputs":[61],"population":[63,114],"solutions,":[65],"which":[66],"are":[67,82,201],"then":[68],"evaluated":[69],"using":[70,84],"objective":[72],"function":[73],"problem.":[76],"weights":[78,171],"updated":[83],"gradient-based":[86],"optimizer.":[87],"layer":[90],"transforms":[91],"into":[94],"desired":[96,188],"distribution":[97],"in":[98,133,145,202],"latent":[99],"space,":[100],"while":[101],"module":[104],"adds":[105],"dependence":[106],"between":[107],"generations.":[108],"network":[111],"decodes":[112],"solutions.":[116],"proposed":[118,178],"balances":[120],"maximizing":[121],"performance":[123],"with":[127],"minimizing":[128],"their":[129],"maximum":[130],"correlation,":[131],"resulting":[132],"against":[138],"systematic":[139],"shocks.":[140],"was":[143,172],"effective":[144],"experiments":[146],"where":[147,185],"stochastic":[148],"rewards":[149],"were":[150],"present.":[151],"Moreover,":[152],"results":[154],"(Fig.":[155],"1)":[156],"demonstrated":[157],"that":[158],"obtained":[162],"by":[163],"taking":[164],"average":[166],"generated":[169],"sub-portfolio":[170],"generalized":[175],"well.":[176],"can":[180],"be":[181],"applied":[182],"problems":[184],"diversity":[186],"is":[187],"among":[189],"co-optimized":[190],"solutions":[191],"for":[192],"source-codes":[197],"dataset":[200],"supplementary":[204],"material.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}