{"id":"https://openalex.org/W2230694673","doi":"https://doi.org/10.1109/lsp.2016.2604280","title":"Optimal Auction Design With Quantized Bids","display_name":"Optimal Auction Design With Quantized Bids","publication_year":2016,"publication_date":"2016-08-30","ids":{"openalex":"https://openalex.org/W2230694673","doi":"https://doi.org/10.1109/lsp.2016.2604280","mag":"2230694673"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2604280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2604280","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1509.08496","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Nianxia Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nianxia Cao","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Swastik Brahma","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swastik Brahma","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pramod K. Varshney","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramod K. Varshney","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":0.3346,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66853933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":"11","first_page":"1518","last_page":"1522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9510999917984009,"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/T11182","display_name":"Auction Theory and Applications","score":0.9510999917984009,"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/T11031","display_name":"Game Theory and Applications","score":0.01269999984651804,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.00930000003427267,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vickrey\u2013clarke\u2013groves-auction","display_name":"Vickrey\u2013Clarke\u2013Groves auction","score":0.7245000004768372},{"id":"https://openalex.org/keywords/auction-theory","display_name":"Auction theory","score":0.7026000022888184},{"id":"https://openalex.org/keywords/vickrey-auction","display_name":"Vickrey auction","score":0.6729999780654907},{"id":"https://openalex.org/keywords/reverse-auction","display_name":"Reverse auction","score":0.6121000051498413},{"id":"https://openalex.org/keywords/revenue-equivalence","display_name":"Revenue equivalence","score":0.6097999811172485},{"id":"https://openalex.org/keywords/auction-algorithm","display_name":"Auction algorithm","score":0.5806999802589417},{"id":"https://openalex.org/keywords/generalized-second-price-auction","display_name":"Generalized second-price auction","score":0.565500020980835},{"id":"https://openalex.org/keywords/english-auction","display_name":"English auction","score":0.5631999969482422},{"id":"https://openalex.org/keywords/incentive-compatibility","display_name":"Incentive compatibility","score":0.555899977684021}],"concepts":[{"id":"https://openalex.org/C147220207","wikidata":"https://www.wikidata.org/wiki/Q773073","display_name":"Vickrey\u2013Clarke\u2013Groves auction","level":4,"score":0.7245000004768372},{"id":"https://openalex.org/C11276805","wikidata":"https://www.wikidata.org/wiki/Q771334","display_name":"Auction theory","level":3,"score":0.7026000022888184},{"id":"https://openalex.org/C83426474","wikidata":"https://www.wikidata.org/wiki/Q243758","display_name":"Vickrey auction","level":4,"score":0.6729999780654907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381999850273132},{"id":"https://openalex.org/C194291561","wikidata":"https://www.wikidata.org/wiki/Q2852717","display_name":"Reverse auction","level":3,"score":0.6121000051498413},{"id":"https://openalex.org/C143684077","wikidata":"https://www.wikidata.org/wiki/Q431186","display_name":"Revenue equivalence","level":4,"score":0.6097999811172485},{"id":"https://openalex.org/C74979957","wikidata":"https://www.wikidata.org/wiki/Q4819604","display_name":"Auction algorithm","level":5,"score":0.5806999802589417},{"id":"https://openalex.org/C48278072","wikidata":"https://www.wikidata.org/wiki/Q5532508","display_name":"Generalized second-price auction","level":4,"score":0.565500020980835},{"id":"https://openalex.org/C112481924","wikidata":"https://www.wikidata.org/wiki/Q1626270","display_name":"English auction","level":3,"score":0.5631999969482422},{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.555899977684021},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.5277000069618225},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.5174999833106995},{"id":"https://openalex.org/C2539976","wikidata":"https://www.wikidata.org/wiki/Q12163285","display_name":"Double auction","level":3,"score":0.46160000562667847},{"id":"https://openalex.org/C160903226","wikidata":"https://www.wikidata.org/wiki/Q5473265","display_name":"Forward auction","level":4,"score":0.41100001335144043},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C59919655","wikidata":"https://www.wikidata.org/wiki/Q5150821","display_name":"Combinatorial auction","level":3,"score":0.3700000047683716},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.36730000376701355},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3587000072002411},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C91196458","wikidata":"https://www.wikidata.org/wiki/Q781384","display_name":"Eauction","level":4,"score":0.31279999017715454},{"id":"https://openalex.org/C94253299","wikidata":"https://www.wikidata.org/wiki/Q4346752","display_name":"Spectrum auction","level":5,"score":0.30320000648498535},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.2994000017642975}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2016.2604280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2604280","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1509.08496","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.08496","pdf_url":"https://arxiv.org/pdf/1509.08496","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1509.08496","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.08496","pdf_url":"https://arxiv.org/pdf/1509.08496","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4724869129","display_name":"Management of Mobile Phone Sensing via Sparse Learning","funder_award_id":"1609916","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1964761515","https://openalex.org/W1997637878","https://openalex.org/W2009928248","https://openalex.org/W2029050771","https://openalex.org/W2063332038","https://openalex.org/W2069224492","https://openalex.org/W2087530244","https://openalex.org/W2119911469","https://openalex.org/W2119917035","https://openalex.org/W2128697345","https://openalex.org/W2134729426","https://openalex.org/W2143150440","https://openalex.org/W2548203313","https://openalex.org/W2747307439"],"related_works":[],"abstract_inverted_index":{"This":[0],"letter":[1,81],"considers":[2],"the":[3,11,17,25,35,42,45,48,60,72,75,84,87,104,107,111],"design":[4,85],"of":[5,13,44,86,106],"an":[6],"auction":[7,39,49,61,73,76,112],"mechanism":[8,40],"to":[9,31,34],"sell":[10],"object":[12,26],"a":[14],"seller":[15,46],"when":[16],"buyers":[18,53,68,93],"quantize":[19,94],"their":[20,95],"private":[21,96],"value":[22,97],"estimates":[23],"regarding":[24,103],"into":[27],"binary":[28],"values":[29],"prior":[30],"communicating":[32,55],"them":[33],"seller.":[36],"The":[37,80],"designed":[38],"maximizes":[41],"utility":[43],"(i.e.,":[47,59,74],"is":[50,62,77],"optimal),":[51],"prevents":[52],"from":[54],"falsified":[56],"quantized":[57],"bids":[58],"incentive":[63],"compatible),":[64],"and":[65],"ensures":[66],"that":[67],"will":[69],"participate":[70],"in":[71],"individually":[78],"rational).":[79],"also":[82],"investigates":[83],"optimal":[88],"quantization":[89,108],"thresholds":[90,109],"using":[91],"which":[92],"estimates.":[98],"Numerical":[99],"results":[100],"provide":[101],"insights":[102],"influence":[105],"on":[110],"mechanism.":[113]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2016-06-24T00:00:00"}