{"id":"https://openalex.org/W7204160610","doi":"https://doi.org/10.1109/isit62367.2026.11654073","title":"Universal Compression at Pragmatic Rates","display_name":"Universal Compression at Pragmatic Rates","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7204160610","doi":"https://doi.org/10.1109/isit62367.2026.11654073"},"language":"en","primary_location":{"id":"doi:10.1109/isit62367.2026.11654073","doi":"https://doi.org/10.1109/isit62367.2026.11654073","is_oa":true,"landing_page_url":"https://doi.org/10.1109/isit62367.2026.11654073","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"IEEE International Symposium on Information Theory (ISIT)","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/isit62367.2026.11654073","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114547596","display_name":"Andreas Theocharous","orcid":"https://orcid.org/0009-0005-5268-3653","observed_orcids":["https://orcid.org/0009-0005-5268-3653"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andreas Theocharous","raw_affiliation_strings":["University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050641868","display_name":"Lampros Gavalakis","orcid":"https://orcid.org/0000-0003-3011-9435","observed_orcids":["https://orcid.org/0000-0003-3011-9435"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lampros Gavalakis","raw_affiliation_strings":["University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044225058","display_name":"Ioannis Kontoyiannis","orcid":"https://orcid.org/0000-0001-7242-6375","observed_orcids":["https://orcid.org/0000-0001-7242-6375"]},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ioannis Kontoyiannis","raw_affiliation_strings":["University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67125805,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.7134000062942505,"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":0.7134000062942505,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.26829999685287476,"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"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.003100000089034438,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/universal-data-compression","display_name":"universal compression","score":0.7649999856948853},{"id":"https://openalex.org/keywords/source-coding","display_name":"source coding","score":0.5889999866485596},{"id":"https://openalex.org/keywords/rate-distortion-theory","display_name":"rate-distortion theory","score":0.492000013589859},{"id":"https://openalex.org/keywords/universal-source-coding","display_name":"universal source coding","score":0.47200000286102295},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"lossless compression","score":0.3409999907016754}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7710000276565552},{"id":"https://openalex.org/C166785042","wikidata":"https://www.wikidata.org/wiki/Q190391","display_name":"Central limit theorem","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4772000014781952},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.47699999809265137},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.46230000257492065},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.461899995803833},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C75438885","wikidata":"https://www.wikidata.org/wiki/Q3403615","display_name":"Large deviations theory","level":2,"score":0.4226999878883362},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4002000093460083},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.34450000524520874},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.33410000801086426},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.31049999594688416},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.305400013923645},{"id":"https://openalex.org/C61445026","wikidata":"https://www.wikidata.org/wiki/Q217608","display_name":"Fixed point","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C197096303","wikidata":"https://www.wikidata.org/wiki/Q869887","display_name":"Probability mass function","level":3,"score":0.29510000348091125},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C125252325","wikidata":"https://www.wikidata.org/wiki/Q1345213","display_name":"Entropy rate","level":4,"score":0.2815999984741211},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.27970001101493835},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C193386753","wikidata":"https://www.wikidata.org/wiki/Q1130396","display_name":"Approximations of \u03c0","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C21031990","wikidata":"https://www.wikidata.org/wiki/Q355020","display_name":"Probability measure","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C162392398","wikidata":"https://www.wikidata.org/wiki/Q272404","display_name":"Finite set","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.25189998745918274},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit62367.2026.11654073","doi":"https://doi.org/10.1109/isit62367.2026.11654073","is_oa":true,"landing_page_url":"https://doi.org/10.1109/isit62367.2026.11654073","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"IEEE International Symposium on Information Theory (ISIT)","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/isit62367.2026.11654073","doi":"https://doi.org/10.1109/isit62367.2026.11654073","is_oa":true,"landing_page_url":"https://doi.org/10.1109/isit62367.2026.11654073","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"IEEE International Symposium on Information Theory (ISIT)","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1533169541","https://openalex.org/W2002348550","https://openalex.org/W2011095115","https://openalex.org/W2030309806","https://openalex.org/W2034597819","https://openalex.org/W2095734615","https://openalex.org/W2101460669","https://openalex.org/W2102098892","https://openalex.org/W2106864314","https://openalex.org/W2131402821","https://openalex.org/W2132119275","https://openalex.org/W2137753450","https://openalex.org/W2155973165","https://openalex.org/W2478708596","https://openalex.org/W2912209775","https://openalex.org/W2950067144","https://openalex.org/W4251984466","https://openalex.org/W4293404332","https://openalex.org/W4302366875","https://openalex.org/W4386495208","https://openalex.org/W4401692642","https://openalex.org/W4415367359","https://openalex.org/W7160560177"],"related_works":["https://openalex.org/W4214869396","https://openalex.org/W185822327","https://openalex.org/W4250508460","https://openalex.org/W2122726380","https://openalex.org/W1520655609","https://openalex.org/W2115311161","https://openalex.org/W4251459289","https://openalex.org/W2607807584","https://openalex.org/W1976884051","https://openalex.org/W7064675820"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,15,19,23,26,39,56,64,72,80,84,105,108,116,119,133,151,156,166,194,202,213],"problem":[3],"of":[4,71,118,168,176,182,204,215,227],"optimal":[5,73],"universal":[6],"lossless":[7],"data":[8],"compression":[9],"subject":[10],"to":[11,31,96],"a":[12,34,173,180,208,221],"constraint":[13,81],"on":[14,50,63,83,132,172,212],"excess-rate":[16,27,85],"probability.":[17],"In":[18,104,141],"non-universal":[20],"setting,":[21],"in":[22,147,201],"regime":[24],"where":[25,191],"probability":[28,86],"is":[29,53,87,113,159,207],"required":[30],"be":[32,45,97,101,162,226],"below":[33,220],"fixed":[35,174],"\u03f5":[36,82],">":[37],"0,":[38],"best":[40,109],"asymptotic":[41,111],"rate":[42,74,112],"that":[43,92],"can":[44,100,161],"achieved":[46],"by":[47,55,115],"one-to-one":[48],"codes":[49],"memoryless":[51,170],"sources":[52,171],"given":[54,114,222],"source":[57,157],"entropy.":[58],"More":[59],"accurate":[60,124],"approximations":[61,94],"relying":[62],"central":[65,134],"limit":[66,135],"theorem":[67,136],"provide":[68],"sharper":[69],"characterizations":[70],"at":[75,126,179],"finite":[76,127],"blocklengths.":[77],"But":[78],"when":[79,155],"small,":[88],"recent":[89],"work":[90],"showed":[91],"these":[93],"fail":[95],"informative":[98],"and":[99,122,137],"quite":[102],"inaccurate.":[103],"small-excess-rate-probability":[106,149],"regime,":[107,150],"achievable":[110],"inverse":[117],"error-exponent":[120],"function,":[121],"an":[123],"approximation":[125],"blocklengths":[128],"was":[129],"obtained":[130,163],"based":[131],"large":[138],"deviations":[139],"techniques.":[140],"this":[142,148,205],"work,":[143],"we":[144],"show":[145],"that,":[146],"same":[152],"performance":[153],"as":[154],"distribution":[158],"known":[160],"universally":[164],"over":[165],"class":[167],"all":[169],"alphabet":[175],"size":[177],"m,":[178],"cost":[181],"no":[183],"more":[184],"than":[185],"$\\left({\\frac{{m":[186],"-":[187],"2}}{2}}\\right)\\log":[188],"n$":[189],"bits,":[190],"n":[192],"denotes":[193],"blocklength.":[195],"The":[196],"main":[197],"new":[198],"technical":[199],"tool":[200],"derivation":[203],"result":[206],"fine":[209],"combinatorial":[210],"estimate":[211],"number":[214],"strings":[216],"with":[217],"empirical":[218],"entropy":[219],"threshold,":[223],"which":[224],"may":[225],"independent":[228],"interest.":[229]},"counts_by_year":[],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2026-08-26T00:00:00"}