{"id":"https://openalex.org/W4386075122","doi":"https://doi.org/10.1109/isit54713.2023.10206810","title":"Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning","display_name":"Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386075122","doi":"https://doi.org/10.1109/isit54713.2023.10206810"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206810","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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/A5018629338","display_name":"Teng-Hui Huang","orcid":"https://orcid.org/0000-0001-8200-1178"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Teng-Hui Huang","raw_affiliation_strings":["University of Sydney,School of Electrical and Information Engineering,NSW,Australia","School of Electrical and Information Engineering, University of Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney,School of Electrical and Information Engineering,NSW,Australia","institution_ids":["https://openalex.org/I129604602","https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111747909","display_name":"Hesham El Gamal","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hesham El Gamal","raw_affiliation_strings":["University of Sydney,School of Electrical and Information Engineering,NSW,Australia","School of Electrical and Information Engineering, University of Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney,School of Electrical and Information Engineering,NSW,Australia","institution_ids":["https://openalex.org/I129604602","https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018629338"],"corresponding_institution_ids":["https://openalex.org/I129604602","https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.4251,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.558945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"707","last_page":"712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9894000291824341,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/maxima-and-minima","display_name":"Maxima and minima","score":0.677916407585144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6145849227905273},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6085163354873657},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.525775671005249},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5126947164535522},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4998598098754883},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4912697672843933},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4907854497432709},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45934897661209106},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.42322126030921936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36089128255844116},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3428686559200287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31976577639579773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28878962993621826}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.677916407585144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6145849227905273},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6085163354873657},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.525775671005249},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5126947164535522},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4998598098754883},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4912697672843933},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4907854497432709},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45934897661209106},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.42322126030921936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36089128255844116},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3428686559200287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31976577639579773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28878962993621826},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206810","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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":48,"referenced_works":["https://openalex.org/W1686946872","https://openalex.org/W1980538836","https://openalex.org/W2078853581","https://openalex.org/W2129732816","https://openalex.org/W2132008222","https://openalex.org/W2141432745","https://openalex.org/W2152828142","https://openalex.org/W2210387432","https://openalex.org/W2225156818","https://openalex.org/W2244961551","https://openalex.org/W2265744594","https://openalex.org/W2785011264","https://openalex.org/W2901838001","https://openalex.org/W2962851448","https://openalex.org/W2962977105","https://openalex.org/W2963967579","https://openalex.org/W2964074409","https://openalex.org/W2964335943","https://openalex.org/W2989653627","https://openalex.org/W2994090936","https://openalex.org/W2994929655","https://openalex.org/W3004645319","https://openalex.org/W3006585499","https://openalex.org/W3047228221","https://openalex.org/W3098950028","https://openalex.org/W3100208521","https://openalex.org/W3103984481","https://openalex.org/W3106330701","https://openalex.org/W3108655343","https://openalex.org/W3110763182","https://openalex.org/W3121929123","https://openalex.org/W3141595720","https://openalex.org/W3198528488","https://openalex.org/W3211353152","https://openalex.org/W4221139487","https://openalex.org/W4250589301","https://openalex.org/W4254313632","https://openalex.org/W4289655224","https://openalex.org/W4292363360","https://openalex.org/W4293469690","https://openalex.org/W4310902451","https://openalex.org/W4386075122","https://openalex.org/W6637108112","https://openalex.org/W6685380521","https://openalex.org/W6729906282","https://openalex.org/W6763442200","https://openalex.org/W6771610787","https://openalex.org/W6810205511"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W4210838092","https://openalex.org/W2121922170","https://openalex.org/W2127982566","https://openalex.org/W2153731865","https://openalex.org/W1504381128","https://openalex.org/W2471196694","https://openalex.org/W1985711950","https://openalex.org/W102932032"],"abstract_inverted_index":{"In":[0,109,142],"this":[1,15],"work,":[2],"we":[3,17,88],"adopt":[4],"Wyner":[5],"common":[6],"information":[7],"framework":[8],"for":[9,102,184],"unsupervised":[10],"multi-view":[11],"representation":[12],"learning.":[13],"Within":[14],"framework,":[16],"propose":[18],"two":[19,111],"novel":[20],"formulations":[21],"that":[22],"enable":[23],"the":[24,32,42,51,75,94,104,110,113,116,130,133,139,145,159,169,178],"development":[25],"of":[26,53,98,115,132,161],"computational":[27,149],"efficient":[28],"solvers":[29,118,147],"based":[30,57],"on":[31,58],"alternating":[33,95],"minimization":[34],"principle.":[35],"The":[36,71],"first":[37],"formulation,":[38,73],"referred":[39],"to":[40,80,177],"as":[41,84,136,166],"variational":[43],"form,":[44,77],"enjoys":[45],"a":[46,59,66,90,143],"linearly":[47],"growing":[48],"complexity":[49,157],"with":[50,65,138,158,168],"number":[52,160],"views":[54],"and":[55,163,181],"is":[56,78,119,175],"variational-inference":[60],"tight":[61],"surrogate":[62],"bound":[63],"coupled":[64],"Lagrangian":[67],"optimization":[68,107],"objective":[69],"function.":[70],"second":[72],"i.e.,":[74],"representational":[76],"shown":[79],"include":[81],"known":[82],"results":[83,128,183],"special":[85],"cases.":[86],"Here,":[87],"develop":[89],"tailored":[91],"version":[92],"from":[93],"direction":[96],"method":[97],"multipliers":[99],"(ADMM)":[100],"algorithm":[101],"solving":[103],"resulting":[105],"non-convex":[106],"problem.":[108],"cases,":[112],"convergence":[114,152],"proposed":[117,134,146],"established":[120],"in":[121],"certain":[122],"relevant":[123],"regimes.":[124],"Furthermore,":[125],"our":[126,182],"empirical":[127],"demonstrate":[129],"effectiveness":[131],"methods":[135],"compared":[137,167],"state-of-the-art":[140,170],"solvers.":[141],"nutshell,":[144],"offer":[148],"efficiency,":[150],"theoretical":[151],"guarantees":[153],"(local":[154],"minima),":[155],"scalable":[156],"views,":[162],"exceptional":[164],"accuracy":[165],"techniques.":[171],"Our":[172],"focus":[173],"here":[174],"devoted":[176],"discrete":[179],"case":[180],"continuous":[185],"distributions":[186],"are":[187],"reported":[188],"elsewhere.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}