{"id":"https://openalex.org/W4404037697","doi":"https://doi.org/10.1109/allerton63246.2024.10735280","title":"An Information Geometric Analysis of Noise Contrastive Estimation","display_name":"An Information Geometric Analysis of Noise Contrastive Estimation","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4404037697","doi":"https://doi.org/10.1109/allerton63246.2024.10735280"},"language":"en","primary_location":{"id":"doi:10.1109/allerton63246.2024.10735280","doi":"https://doi.org/10.1109/allerton63246.2024.10735280","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/allerton63246.2024.10735280","pdf_url":null,"source":{"id":"https://openalex.org/S4306417658","display_name":"Allerton Conference on Communication, Control, and Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 60th Annual Allerton Conference on Communication, Control, and Computing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5104117669","display_name":"H. S. Melihcan Erol","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H.S. Melihcan Erol","raw_affiliation_strings":["Massachusetts Institute of Technology,Cambridge,Massachusetts"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology,Cambridge,Massachusetts","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiejun Jin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiejun Jin","raw_affiliation_strings":["Massachusetts Institute of Technology,Cambridge,Massachusetts"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology,Cambridge,Massachusetts","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112425882","display_name":"Lizhong Zheng","orcid":"https://orcid.org/0000-0002-6108-0222","observed_orcids":["https://orcid.org/0000-0002-6108-0222"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lizhong Zheng","raw_affiliation_strings":["Massachusetts Institute of Technology,Cambridge,Massachusetts"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology,Cambridge,Massachusetts","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19648481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.22179999947547913,"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/T10320","display_name":"Neural Networks and Applications","score":0.22179999947547913,"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/T10028","display_name":"Topic Modeling","score":0.16920000314712524,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.1370999962091446,"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/noise-contrastive-estimation","display_name":"noise contrastive estimation","score":0.9509999752044678},{"id":"https://openalex.org/keywords/subspace-angle","display_name":"subspace angle","score":0.7580000162124634},{"id":"https://openalex.org/keywords/asymptotic-performance","display_name":"asymptotic performance","score":0.8140000104904175},{"id":"https://openalex.org/keywords/contrastive-learning","display_name":"contrastive learning","score":0.5260000228881836},{"id":"https://openalex.org/keywords/information-geometry","display_name":"information geometry","score":0.3070000112056732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460477113723755},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5554903149604797},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45605581998825073},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.41492223739624023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3732672333717346},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3411839008331299},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.16126060485839844},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10267817974090576},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06587550044059753},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton63246.2024.10735280","doi":"https://doi.org/10.1109/allerton63246.2024.10735280","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/allerton63246.2024.10735280","pdf_url":null,"source":{"id":"https://openalex.org/S4306417658","display_name":"Allerton Conference on Communication, Control, and Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 60th Annual Allerton Conference on Communication, Control, and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/13","score":0.5099999904632568,"display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1989065278","https://openalex.org/W2118795819","https://openalex.org/W2154752110","https://openalex.org/W2556383977","https://openalex.org/W2842511635","https://openalex.org/W2890487780","https://openalex.org/W2897013370","https://openalex.org/W2897723259","https://openalex.org/W2963767133","https://openalex.org/W2976504920","https://openalex.org/W3035166812","https://openalex.org/W3170097025","https://openalex.org/W4297808394","https://openalex.org/W6629322182","https://openalex.org/W6637683758","https://openalex.org/W6678040779","https://openalex.org/W6680106237","https://openalex.org/W6682691769","https://openalex.org/W6682948231","https://openalex.org/W6718614509","https://openalex.org/W6774314701","https://openalex.org/W6810237411"],"related_works":["https://openalex.org/W2327107878","https://openalex.org/W2171117985","https://openalex.org/W1526760723","https://openalex.org/W2012356576","https://openalex.org/W2126659863","https://openalex.org/W3112120395","https://openalex.org/W4385670989","https://openalex.org/W2102487628","https://openalex.org/W2009680848","https://openalex.org/W2150465873"],"abstract_inverted_index":{"We":[0],"study":[1,80],"noise-contrastive":[2],"estimation":[3],"(NCE)":[4],"through":[5],"the":[6,22,30,49,52,57,76],"lens":[7],"of":[8,54,60,63,75,81],"local":[9],"information":[10,46,72,87],"geometry.":[11],"In":[12],"particular,":[13],"paralleling":[14],"recent":[15],"work":[16],"[1],":[17],"[2],":[18],"we":[19,41],"demonstrate":[20],"that":[21,43],"optimal":[23],"noise":[24],"distribution":[25],"for":[26],"NCE":[27,64,82],"is":[28],"not":[29],"same":[31],"as":[32],"those":[33],"typically":[34],"chosen":[35],"based":[36],"on":[37],"practical":[38],"heuristics.":[39],"Furthermore,":[40],"show":[42],"an":[44,61,71],"important":[45],"geometric":[47,73,88],"construct,":[48],"angle":[50],"between":[51],"subspaces":[53],"distributions,":[55],"dictates":[56],"asymptotic":[58],"performance":[59],"extension":[62],"proposed":[65],"in":[66],"[3].":[67],"This":[68],"analysis":[69],"provides":[70],"interpretation":[74],"method,":[77],"encouraging":[78],"further":[79],"and":[83],"its":[84],"variants":[85],"using":[86],"methods.":[89]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}