{"id":"https://openalex.org/W4391094183","doi":"https://doi.org/10.1109/bigdata59044.2023.10386622","title":"Learning with Variational Objectives on Measures","display_name":"Learning with Variational Objectives on Measures","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391094183","doi":"https://doi.org/10.1109/bigdata59044.2023.10386622"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386622","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5059273291","display_name":"Vivien Cabannes","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vivien Cabannes","raw_affiliation_strings":["Meta AI, FAIR Labs,New York City,USA","Meta AI, FAIR Labs, New York City, USA"],"affiliations":[{"raw_affiliation_string":"Meta AI, FAIR Labs,New York City,USA","institution_ids":[]},{"raw_affiliation_string":"Meta AI, FAIR Labs, New York City, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059273291"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19328108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1059","last_page":"1063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9886999726295471,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9886999726295471,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.980400025844574,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9648000001907349,"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/computer-science","display_name":"Computer science","score":0.6742402911186218},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6686569452285767},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6573573350906372},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5761125683784485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5643416047096252},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4710383713245392},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3476324677467346},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22532188892364502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18723323941230774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06990942358970642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6742402911186218},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6686569452285767},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6573573350906372},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5761125683784485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5643416047096252},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4710383713245392},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3476324677467346},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22532188892364502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18723323941230774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06990942358970642}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386622","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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":35,"referenced_works":["https://openalex.org/W123476658","https://openalex.org/W385466589","https://openalex.org/W611617050","https://openalex.org/W1503398984","https://openalex.org/W1564947197","https://openalex.org/W1605715241","https://openalex.org/W1982032418","https://openalex.org/W2001619934","https://openalex.org/W2010525458","https://openalex.org/W2036691862","https://openalex.org/W2098986246","https://openalex.org/W2156909104","https://openalex.org/W2241799117","https://openalex.org/W2480680997","https://openalex.org/W2893425640","https://openalex.org/W2962824366","https://openalex.org/W2996844929","https://openalex.org/W3005849739","https://openalex.org/W3036167779","https://openalex.org/W3144049167","https://openalex.org/W3159649695","https://openalex.org/W4288601251","https://openalex.org/W4300540335","https://openalex.org/W4312933868","https://openalex.org/W4320013936","https://openalex.org/W4322718191","https://openalex.org/W6613206883","https://openalex.org/W6630177651","https://openalex.org/W6779823529","https://openalex.org/W6786375611","https://openalex.org/W6789841498","https://openalex.org/W6792841710","https://openalex.org/W6846539466","https://openalex.org/W7024103744","https://openalex.org/W7029750308"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2731626691","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084"],"abstract_inverted_index":{"The":[0],"theory":[1],"of":[2,17,39,72],"machine":[3,92],"learning":[4,93],"has":[5,20],"predominantly":[6],"focused":[7],"on":[8,12],"variational":[9,61],"objectives":[10],"expressed":[11],"functions.":[13],"Yet,":[14],"the":[15,37,58],"advent":[16],"big":[18],"data":[19,33,40,45],"exposed":[21],"limitations":[22],"in":[23,89],"these":[24,97],"formulations:":[25],"functions":[26],"struggle":[27],"to":[28,66,69,76,83,95],"capture":[29],"uncertainty":[30],"arising":[31],"from":[32],"veracity":[34],"issues;":[35],"and":[36,75,85],"assumption":[38],"independence":[41],"often":[42],"conflicts":[43],"with":[44,78],"variety.":[46],"In":[47],"this":[48],"vision":[49],"paper,":[50],"we":[51],"propose":[52],"a":[53],"shift":[54],"towards":[55],"measures":[56],"as":[57],"basis":[59],"for":[60],"objectives,":[62,99],"highlighting":[63],"their":[64],"advantages":[65],"quantify":[67],"uncertainty,":[68],"generalize":[70],"out":[71],"training":[73],"distribution,":[74],"deal":[77],"scarce":[79],"annotations.":[80],"We":[81],"aim":[82],"inspire":[84],"stimulate":[86],"further":[87],"research":[88],"adapting":[90],"conventional":[91],"algorithms":[94],"optimize":[96],"new":[98],"without":[100],"compromising":[101],"statistical":[102],"efficiency.":[103]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}