{"id":"https://openalex.org/W7127435422","doi":"https://doi.org/10.48550/arxiv.2602.01400","title":"Online Social Welfare Function-based Resource Allocation","display_name":"Online Social Welfare Function-based Resource Allocation","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7127435422","doi":"https://doi.org/10.48550/arxiv.2602.01400"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.01400","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.01400","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2602.01400","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109721873","display_name":"Kanad Pardeshi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pardeshi, Kanad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124929046","display_name":"Samsara Foubert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Foubert, Samsara","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100758183","display_name":"Aarti Singh","orcid":"https://orcid.org/0000-0003-0279-1187"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh, Aarti","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109721873"],"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":0.8737999796867371,"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":0.8737999796867371,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.04360000044107437,"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/T13553","display_name":"Age of Information Optimization","score":0.02370000071823597,"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/regret","display_name":"Regret","score":0.657800018787384},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4968999922275543},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.49619999527931213},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44780001044273376},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4115000069141388},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.382999986410141},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.36959999799728394},{"id":"https://openalex.org/keywords/social-welfare","display_name":"Social Welfare","score":0.3614000082015991}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.657800018787384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398000121116638},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4968999922275543},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.49619999527931213},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.39629998803138733},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36959999799728394},{"id":"https://openalex.org/C536738050","wikidata":"https://www.wikidata.org/wiki/Q3249071","display_name":"Social Welfare","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.33320000767707825},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3215000033378601},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C168725872","wikidata":"https://www.wikidata.org/wiki/Q991663","display_name":"Sophistication","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.29269999265670776},{"id":"https://openalex.org/C2779629923","wikidata":"https://www.wikidata.org/wiki/Q1754086","display_name":"Social welfare function","level":3,"score":0.28619998693466187},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.2531000077724457},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.25189998745918274},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.01400","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.01400","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.01400","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.01400","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.7437732815742493,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"many":[1],"real-world":[2],"settings,":[3],"a":[4,13,22,44,55,102],"centralized":[5],"decision-maker":[6],"must":[7],"repeatedly":[8],"allocate":[9],"finite":[10],"resources":[11,114],"to":[12,28,82,89],"population":[14],"over":[15],"multiple":[16],"time":[17,123],"steps.":[18],"Individuals":[19],"who":[20],"receive":[21],"resource":[23],"derive":[24],"some":[25],"stochastic":[26],"utility;":[27],"characterize":[29],"the":[30,36],"population-level":[31],"effects":[32],"of":[33,121],"an":[34],"allocation,":[35],"expected":[37],"individual":[38,87],"utilities":[39,88],"are":[40],"then":[41],"aggregated":[42],"using":[43],"social":[45],"welfare":[46],"function":[47],"(SWF).":[48],"We":[49,125],"formalize":[50],"this":[51,97],"setting":[52],"and":[53,64,71,139,151,157,173],"present":[54],"general":[56],"confidence":[57,84],"sequence":[58],"framework":[59,128,161],"for":[60,67,145],"SWF-based":[61],"online":[62,104],"learning":[63,105],"inference,":[65],"valid":[66],"any":[68],"monotonic,":[69],"concave,":[70],"Lipschitz-continuous":[72],"SWF.":[73],"Our":[74],"key":[75],"insight":[76],"is":[77],"that":[78,107],"monotonicity":[79],"alone":[80],"suffices":[81],"lift":[83],"sequences":[85],"from":[86],"anytime-valid":[90],"bounds":[91],"on":[92,96,129],"optimal":[93,171],"welfare.":[94],"Building":[95],"foundation,":[98],"we":[99],"propose":[100],"SWF-UCB,":[101],"SWF-agnostic":[103],"algorithm":[106],"achieves":[108],"near-optimal":[109],"$\\tilde{O}(n+\\sqrt{nkT})$":[110],"regret":[111],"(for":[112],"$k$":[113,156],"distributed":[115],"among":[116],"$n$":[117],"individuals":[118],"at":[119],"each":[120],"$T$":[122],"steps).":[124],"instantiate":[126],"our":[127],"three":[130],"normatively":[131],"distinct":[132],"SWF":[133,158],"families:":[134],"Weighted":[135],"Power":[136],"Mean,":[137],"Kolm,":[138],"Gini,":[140],"providing":[141],"bespoke":[142],"oracle":[143],"algorithms":[144],"each.":[146],"Experiments":[147],"confirm":[148],"$\\sqrt{T}$":[149],"scaling":[150],"reveal":[152],"rich":[153],"interactions":[154],"between":[155],"parameters.":[159],"This":[160],"naturally":[162],"supports":[163],"inference":[164],"applications":[165],"such":[166],"as":[167],"sequential":[168],"hypothesis":[169],"testing,":[170],"stopping,":[172],"policy":[174],"evaluation.":[175]},"counts_by_year":[],"updated_date":"2026-02-04T23:14:21.375766","created_date":"2026-02-04T00:00:00"}