{"id":"https://openalex.org/W4289655377","doi":"https://doi.org/10.1109/isit50566.2022.9834588","title":"Minimax Rate-Distortion","display_name":"Minimax Rate-Distortion","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655377","doi":"https://doi.org/10.1109/isit50566.2022.9834588"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834588","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 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/A5062960990","display_name":"Adeel Mahmood","orcid":"https://orcid.org/0000-0003-0824-3640"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adeel Mahmood","raw_affiliation_strings":["Cornell University,School of Electrical and Computer Engineering,Ithaca,NY,USA,14850"],"affiliations":[{"raw_affiliation_string":"Cornell University,School of Electrical and Computer Engineering,Ithaca,NY,USA,14850","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073557148","display_name":"Aaron B. Wagner","orcid":"https://orcid.org/0000-0001-9127-0089"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron B. Wagner","raw_affiliation_strings":["Cornell University,School of Electrical and Computer Engineering,Ithaca,NY,USA,14850"],"affiliations":[{"raw_affiliation_string":"Cornell University,School of Electrical and Computer Engineering,Ithaca,NY,USA,14850","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062960990"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.5194,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62680457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"602","last_page":"607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.998199999332428,"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/T11269","display_name":"Algorithms and Data Compression","score":0.998199999332428,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/minimax","display_name":"Minimax","score":0.695611298084259},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6837882995605469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6680331230163574},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.6363407373428345},{"id":"https://openalex.org/keywords/distortion-function","display_name":"Distortion function","score":0.5838427543640137},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5711783170700073},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5045827627182007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5024878978729248},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.4744357168674469},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47064727544784546},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4541572332382202},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.44472020864486694},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4295985698699951},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39627304673194885},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.37824714183807373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.26917362213134766},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18794363737106323},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0921163558959961}],"concepts":[{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.695611298084259},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6837882995605469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6680331230163574},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.6363407373428345},{"id":"https://openalex.org/C2780803321","wikidata":"https://www.wikidata.org/wiki/Q5283073","display_name":"Distortion function","level":3,"score":0.5838427543640137},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5711783170700073},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5045827627182007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5024878978729248},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.4744357168674469},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47064727544784546},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4541572332382202},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.44472020864486694},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4295985698699951},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39627304673194885},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.37824714183807373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26917362213134766},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18794363737106323},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0921163558959961},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834588","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320316514","display_name":"Arm","ror":"https://ror.org/04mmhzs81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1984339818","https://openalex.org/W1990992471","https://openalex.org/W2047108609","https://openalex.org/W2065064738","https://openalex.org/W2067345628","https://openalex.org/W2068782468","https://openalex.org/W2096798913","https://openalex.org/W2098345316","https://openalex.org/W2098907205","https://openalex.org/W2100541918","https://openalex.org/W2103827103","https://openalex.org/W2114035645","https://openalex.org/W2122056749","https://openalex.org/W2128777897","https://openalex.org/W2132119275","https://openalex.org/W2137753450","https://openalex.org/W2159963124","https://openalex.org/W2160646668","https://openalex.org/W2165856274","https://openalex.org/W2167507722","https://openalex.org/W2478708596","https://openalex.org/W3180765777","https://openalex.org/W3207742604","https://openalex.org/W4289655377","https://openalex.org/W4302366875","https://openalex.org/W6678304684","https://openalex.org/W6798441887","https://openalex.org/W6803458505"],"related_works":["https://openalex.org/W1554604567","https://openalex.org/W1413489299","https://openalex.org/W2964332837","https://openalex.org/W4289655361","https://openalex.org/W2767580541","https://openalex.org/W2169872009","https://openalex.org/W2063823725","https://openalex.org/W2059965583","https://openalex.org/W2106025666","https://openalex.org/W2953321782"],"abstract_inverted_index":{"We":[0],"show":[1],"the":[2,11,18,38,45,55,60,70,97,104,115,120,123],"existence":[3],"of":[4,73,100,106,122],"universal,":[5],"variable-rate":[6],"rate-distortion":[7,19,116],"codes":[8],"that":[9,33,118],"meet":[10],"distortion":[12,31,61,101],"constraint":[13],"almost":[14],"surely":[15],"and":[16,29,40,58,103],"approach":[17],"function":[20],"uniformly":[21],"with":[22,52,81],"respect":[23,53],"to":[24,37,49,54,114],"an":[25,66,107],"unknown":[26],"source":[27,56],"distribution":[28,57],"a":[30,82],"measure":[32],"is":[34],"only":[35,41,47],"revealed":[36],"encoder":[39],"at":[42],"runtime.":[43],"If":[44],"convergence":[46],"needs":[48],"be":[50],"uniform":[51],"not":[59],"measure,":[62],"then":[63],"we":[64],"provide":[65],"explicit":[67],"bound":[68],"on":[69],"minimax":[71],"rate":[72],"convergence.":[74],"Our":[75],"construction":[76],"combines":[77],"conventional":[78],"random":[79],"coding":[80],"zero-rate":[83],"uncoded":[84],"transmission":[85],"scheme.":[86],"The":[87],"proof":[88],"uses":[89],"exact":[90],"asymptotics":[91],"from":[92],"large":[93],"deviations,":[94],"acceptance-rejection":[95],"sampling,":[96],"VC":[98],"dimension":[99],"measures,":[102],"identification":[105],"explicit,":[108],"code-independent,":[109],"finite-blocklength":[110],"quantity,":[111],"which":[112],"converges":[113],"function,":[117],"controls":[119],"performance":[121],"best":[124],"codes.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
