{"id":"https://openalex.org/W7151822143","doi":"https://doi.org/10.48550/arxiv.2604.05845","title":"JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing","display_name":"JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7151822143","doi":"https://doi.org/10.48550/arxiv.2604.05845"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.05845","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05845","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.05845","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133164738","display_name":"Linghui Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Linghui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133185269","display_name":"Chun Gan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gan, Chun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101422710","display_name":"S.H. Niu","orcid":"https://orcid.org/0000-0001-9745-556X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Shengsheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613581","display_name":"Chengcheng Zhang","orcid":"https://orcid.org/0000-0003-0505-7607"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Chengcheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133204566","display_name":"Chenchen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Chenchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100297739","display_name":"Chuan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Chuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133159733","display_name":"Yi Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133190822","display_name":"Xin Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133178174","display_name":"Jie He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009831083","display_name":"Zhangang Lin","orcid":"https://orcid.org/0000-0003-1379-5044"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Zhangang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133234608","display_name":"Ching Law","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Law, Ching","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.17409999668598175,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.17409999668598175,"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/T11182","display_name":"Auction Theory and Applications","score":0.12110000103712082,"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":0.12070000171661377,"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/bidding","display_name":"Bidding","score":0.8920000195503235},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4722999930381775},{"id":"https://openalex.org/keywords/real-time-bidding","display_name":"Real-time bidding","score":0.45579999685287476},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.429500013589859},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.41780000925064087},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.40939998626708984},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.3508000075817108},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.3118000030517578}],"concepts":[{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.8920000195503235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482999920845032},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C1525070","wikidata":"https://www.wikidata.org/wiki/Q2134714","display_name":"Real-time bidding","level":3,"score":0.45579999685287476},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.429500013589859},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.40939998626708984},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39340001344680786},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.30869999527931213},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C2779391423","wikidata":"https://www.wikidata.org/wiki/Q17009728","display_name":"Dynamic pricing","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.25429999828338623},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.05845","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05845","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.05845","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05845","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Auto-bidding":[0],"services":[1],"optimize":[2],"real-time":[3],"bidding":[4,34,104,133,145,169],"strategies":[5,35],"for":[6,57],"advertisers":[7],"under":[8],"key":[9],"performance":[10,167],"indicator":[11],"(KPI)":[12],"constraints":[13],"such":[14,24,82],"as":[15,25,83],"target":[16,206],"return":[17],"on":[18,175],"investment":[19],"and":[20,29,59,70,170,201],"budget.":[21],"However,":[22],"uncertainties":[23],"model":[26],"prediction":[27],"errors":[28],"feedback":[30],"latency":[31],"can":[32],"cause":[33],"to":[36,42,123,162],"deviate":[37],"from":[38,128,142],"ex-post":[39],"optimality,":[40],"leading":[41],"inefficient":[43],"allocation.":[44],"To":[45,85],"address":[46],"this":[47],"issue,":[48],"we":[49,93,148],"propose":[50],"JD-BP,":[51],"a":[52,67,71,95,117,129,159,195,202],"Joint":[53],"generative":[54],"Decision":[55],"framework":[56],"Bidding":[58],"Pricing.":[60],"Unlike":[61],"prior":[62],"methods,":[63],"JD-BP":[64,181],"jointly":[65],"outputs":[66],"bid":[68],"value":[69,101],"pricing":[72,114,171],"correction":[73],"term":[74],"that":[75,98,180],"acts":[76],"additively":[77],"with":[78,158],"the":[79,107,113,164,176],"payment":[80],"rule":[81],"GSP.":[84],"mitigate":[86],"adverse":[87],"effects":[88],"of":[89,103,139,168],"historical":[90],"constraint":[91],"violations,":[92],"design":[94],"memory-less":[96],"Return-to-Go":[97],"encourages":[99],"future":[100],"maximizing":[102],"actions":[105],"while":[106],"cumulated":[108],"bias":[109],"is":[110,121],"handled":[111],"by":[112],"correction.":[115,172],"Moreover,":[116],"trajectory":[118],"augmentation":[119],"algorithm":[120,141],"proposed":[122],"generate":[124],"joint":[125,165],"bidding-pricing":[126],"trajectories":[127],"(possibly":[130],"arbitrary)":[131],"base":[132],"policy,":[134],"enabling":[135],"efficient":[136],"plug-and-play":[137],"deployment":[138],"our":[140],"existing":[143],"RL/generative":[144],"models.":[146],"Finally,":[147],"employ":[149],"an":[150],"Energy-Based":[151],"Direct":[152],"Preference":[153],"Optimization":[154],"method":[155],"in":[156,198,205],"conjunction":[157],"cross-attention":[160],"module":[161],"enhance":[163],"learning":[166],"Offline":[173],"experiments":[174],"AuctionNet":[177],"dataset":[178],"demonstrate":[179],"achieves":[182],"state-of-the-art":[183],"performance.":[184],"Online":[185],"A/B":[186],"tests":[187],"at":[188],"JD.com":[189],"confirm":[190],"its":[191],"practical":[192],"effectiveness,":[193],"showing":[194],"4.70%":[196],"increase":[197],"ad":[199],"revenue":[200],"6.48%":[203],"improvement":[204],"cost.":[207]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-09T00:00:00"}
