{"id":"https://openalex.org/W2885775144","doi":"https://doi.org/10.1109/isit.2018.8437851","title":"Effective Memory Shrinkage in Estimation","display_name":"Effective Memory Shrinkage in Estimation","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2885775144","doi":"https://doi.org/10.1109/isit.2018.8437851","mag":"2885775144"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2018.8437851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2018.8437851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5103952285","display_name":"Ayush Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ayush Jain","raw_affiliation_strings":["University of California, Department of Electrical and Computer Engineering, San Diego, La Jolla, CA, 92093, USA","Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Department of Electrical and Computer Engineering, San Diego, La Jolla, CA, 92093, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077741905","display_name":"Himanshu Tyagi","orcid":"https://orcid.org/0000-0003-2950-706X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Himanshu Tyagi","raw_affiliation_strings":["Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, 560012, India","Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, 560012, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103952285"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08380849,"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":"1071","last_page":"1075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9991999864578247,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9991999864578247,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.996999979019165,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/estimator","display_name":"Estimator","score":0.7414466142654419},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.701443076133728},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.47471654415130615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4596197009086609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4376230537891388},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4318382740020752},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.42559126019477844},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.37520867586135864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34401935338974},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31234586238861084},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0924077033996582},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07810258865356445}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7414466142654419},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.701443076133728},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.47471654415130615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4596197009086609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4376230537891388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4318382740020752},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.42559126019477844},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.37520867586135864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34401935338974},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31234586238861084},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0924077033996582},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07810258865356445},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2018.8437851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2018.8437851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:61131","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1666623353","https://openalex.org/W1969061574","https://openalex.org/W1980974949","https://openalex.org/W2064379477","https://openalex.org/W2071080750","https://openalex.org/W2075108920","https://openalex.org/W2078766198","https://openalex.org/W2101790310","https://openalex.org/W2158396815","https://openalex.org/W2964181194","https://openalex.org/W6675423521"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4318195686","https://openalex.org/W2975999359","https://openalex.org/W3119693376","https://openalex.org/W4287880334","https://openalex.org/W2796561647","https://openalex.org/W4366700029","https://openalex.org/W4280497496","https://openalex.org/W1997852824","https://openalex.org/W650906410"],"abstract_inverted_index":{"It":[0],"is":[1,44,88,126,145],"known":[2],"that":[3,20,56,72,97,141],"a":[4,42,107,118,148,152,159,164,174,194],"processor":[5,36],"with":[6,18,32,117,173],"limited":[7],"memory":[8,53,103],"consisting":[9],"of":[10,41,69,82,100,102,121,167,169,178,189,193,200],"an":[11,62,134],"m-state":[12,63],"machine":[13],"can":[14,37],"distinguish":[15],"two":[16,67],"coins":[17],"biases":[19],"differ":[21],"by":[22,54,147],"1/m.":[23],"On":[24],"the":[25,28,34,39,70,79,98,110,142,190],"other":[26],"hand,":[27],"best":[29],"additive":[30,135],"accuracy":[31,120],"which":[33,78,198],"same":[35],"estimate":[38,106],"bias":[40,71,108,170],"coin":[43],"only":[45,89],"1/\u221am.":[46],"We":[47],"demystify":[48],"this":[49,93],"apparent":[50],"shrinkage":[51],"in":[52,109],"showing":[55],"for":[57,77,187],"any":[58],"such":[59],"estimator":[60],"using":[61],"machine,":[64],"there":[65],"exist":[66],"values":[68],"are":[73,184],"1/\u221am":[74],"apart":[75],"but":[76],"effective":[80],"number":[81,99],"states":[83],"available":[84],"to":[85,105,133],"resolve":[86],"them":[87],"O(\u221am).":[90],"Building":[91],"on":[92],"result,":[94],"we":[95,139],"show":[96,140],"bits":[101],"required":[104],"interval":[111],"(a,a2":[112],"<sup":[113,123,128],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[114,124,129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u03b1</sup>":[115],")":[116],"multiplicative":[119],"2":[122],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u00b1\u03b4</sup>":[125],"log(\u03b1/\u03b4":[127],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[130],"),":[131],"up":[132],"constant.":[136],"In":[137],"fact,":[138],"lower":[143],"bound":[144],"attained":[146],"Gaussian":[149,160],"counter,":[150],"namely":[151],"probabilistic":[153],"counter":[154],"whose":[155],"stationary":[156],"distribution":[157],"has":[158],"form.":[161],"This":[162],"gives":[163],"precise":[165],"characterization":[166],"memory-complexity":[168],"estimation":[171,188],"along":[172],"heuristically":[175],"appealing":[176],"family":[177],"optimal":[179],"estimators.":[180],"Underlying":[181],"our":[182],"results":[183],"new":[185],"bounds":[186],"natural":[191],"parameter":[192],"discrete":[195],"exponential":[196],"family,":[197],"maybe":[199],"independent":[201],"interest.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
