{"id":"https://openalex.org/W4386075106","doi":"https://doi.org/10.1109/isit54713.2023.10206722","title":"Strategic Quantization","display_name":"Strategic Quantization","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386075106","doi":"https://doi.org/10.1109/isit54713.2023.10206722"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206722","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/A5012879525","display_name":"Emrah Akyol","orcid":"https://orcid.org/0000-0002-0663-1677"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Emrah Akyol","raw_affiliation_strings":["Binghamton University, SUNY,Electrical and Computer Engineering,NY,USA","Electrical and Computer Engineering, Binghamton University, SUNY, NY, USA"],"affiliations":[{"raw_affiliation_string":"Binghamton University, SUNY,Electrical and Computer Engineering,NY,USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Binghamton University, SUNY, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102954266","display_name":"Anju Anand","orcid":"https://orcid.org/0000-0002-9378-5833"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anju Anand","raw_affiliation_strings":["Binghamton University, SUNY,Electrical and Computer Engineering,NY,USA","Electrical and Computer Engineering, Binghamton University, SUNY, NY, USA"],"affiliations":[{"raw_affiliation_string":"Binghamton University, SUNY,Electrical and Computer Engineering,NY,USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Binghamton University, SUNY, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012879525"],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":1.7817,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85779454,"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":"543","last_page":"548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/quantization","display_name":"Quantization (signal processing)","score":0.7271509170532227},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5703275799751282},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.5612753629684448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5405712127685547},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5330433249473572},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5157585144042969},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4928114712238312},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.47692129015922546},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.46280378103256226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43621087074279785},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4321939945220947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3878384232521057}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7271509170532227},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5703275799751282},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.5612753629684448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5405712127685547},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5330433249473572},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5157585144042969},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4928114712238312},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.47692129015922546},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46280378103256226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43621087074279785},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4321939945220947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3878384232521057},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/isit54713.2023.10206722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206722","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":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1634005169","https://openalex.org/W2111364868","https://openalex.org/W2160003140","https://openalex.org/W2289959411","https://openalex.org/W2464449451","https://openalex.org/W2505817254","https://openalex.org/W2765198270","https://openalex.org/W2946755081","https://openalex.org/W2982100197","https://openalex.org/W2986452961","https://openalex.org/W3103407461","https://openalex.org/W3121860146","https://openalex.org/W3124392256","https://openalex.org/W3125048552","https://openalex.org/W4214915883","https://openalex.org/W4251543588","https://openalex.org/W4254197176","https://openalex.org/W4255572092","https://openalex.org/W4375940853","https://openalex.org/W6635591136"],"related_works":["https://openalex.org/W1539956819","https://openalex.org/W2352648934","https://openalex.org/W2017514583","https://openalex.org/W2100120615","https://openalex.org/W2391875658","https://openalex.org/W2378212145","https://openalex.org/W2387054321","https://openalex.org/W1929869830","https://openalex.org/W2158612577","https://openalex.org/W2390504222"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2],"concerned":[3],"with":[4,46,112,145,173],"the":[5,9,12,18,28,36,50,53,59,66,69,73,79,84,91,95,98,113,119,138,146,166,174,184,195,199],"quantization":[6,74,80,115,200],"setting":[7],"where":[8],"encoder":[10,99],"and":[11,41,90,97,149,191],"decoder":[13,96],"have":[14],"misaligned":[15],"objectives.":[16],"While":[17],"unconstrained":[19],"variation":[20,71],"of":[21,30,52,68,72,86,94,194,198],"this":[22],"problem":[23,37,60,116,201],"has":[24],"been":[25],"well-studied":[26],"under":[27],"theme":[29],"information":[31],"design":[32],"problems":[33],"in":[34,109,170],"Economics,":[35],"becomes":[38],"more":[39],"appealing":[40],"relevant":[42],"to":[43,104],"engineering":[44],"applications":[45],"a":[47,62,105,123,128,132],"constraint":[48],"on":[49,165],"cardinality":[51],"message":[54],"space.":[55],"We":[56,136,177],"first":[57],"motivate":[58],"via":[61,183],"toy":[63],"example":[64],"demonstrating":[65],"intricacies":[67],"strategic":[70,196],"problem,":[75],"explicitly":[76],"showing":[77],"that":[78,117,151,187,202],"resolution":[81],"can":[82],"change":[83],"nature":[85],"optimal":[87,141],"encoding":[88],"policy":[89],"iterative":[92],"optimization":[93,147],"mappings":[100],"may":[101],"not":[102],"converge":[103],"local":[106,124,140,162],"optimum":[107,125],"solution,":[108],"sharp":[110,171],"contrast":[111,172],"classical":[114,175,207],"admits":[118],"Lloyd-Max":[120],"method":[121,148],"as":[122,157],"solution.":[126,135],"As":[127],"remedy,":[129],"we":[130],"develop":[131],"gradient-descent":[133],"based":[134],"analyze":[137],"poor":[139],"optima":[142],"issues":[143],"associated":[144],"show":[150],"even":[152],"for":[153],"well-behaving":[154],"sources,":[155],"such":[156],"Gaussian,":[158],"there":[159],"are":[160],"multiple":[161],"minima,":[163],"depending":[164],"distortion":[167],"measures":[168],"chosen,":[169],"quantization.":[176],"finally":[178],"present":[179],"numerical":[180],"results":[181],"obtained":[182],"proposed":[185],"algorithm":[186],"suggest":[188],"their":[189],"validity":[190],"demonstrate":[192],"features":[193],"version":[197],"differentiate":[203],"it":[204],"from":[205],"its":[206],"counterpart.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}