{"id":"https://openalex.org/W4415428284","doi":"https://doi.org/10.3233/faia251181","title":"Online Learning with Probing for Sequential User-Centric Selection","display_name":"Online Learning with Probing for Sequential User-Centric Selection","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415428284","doi":"https://doi.org/10.3233/faia251181"},"language":null,"primary_location":{"id":"doi:10.3233/faia251181","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251181","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251181","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009769342","display_name":"Tianyi Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tianyi Xu","raw_affiliation_strings":["Tulane University, United States"],"affiliations":[{"raw_affiliation_string":"Tulane University, United States","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348269","display_name":"Yiting Chen","orcid":"https://orcid.org/0000-0002-7999-4532"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiting Chen","raw_affiliation_strings":["Boston University, United States"],"affiliations":[{"raw_affiliation_string":"Boston University, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056911595","display_name":"Henger Li","orcid":null},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henger Li","raw_affiliation_strings":["Tulane University, United States"],"affiliations":[{"raw_affiliation_string":"Tulane University, United States","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071513223","display_name":"Zheyong Bian","orcid":"https://orcid.org/0000-0001-9094-3333"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheyong Bian","raw_affiliation_strings":["University of Houston, United States"],"affiliations":[{"raw_affiliation_string":"University of Houston, United States","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060100126","display_name":"Emiliano Dall\u2019Anese","orcid":"https://orcid.org/0000-0002-6486-7477"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emiliano Dall\u2019Anese","raw_affiliation_strings":["Boston University, United States"],"affiliations":[{"raw_affiliation_string":"Boston University, United States","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101615991","display_name":"Zizhan Zheng","orcid":"https://orcid.org/0000-0003-4799-1051"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zizhan Zheng","raw_affiliation_strings":["Tulane University, United States"],"affiliations":[{"raw_affiliation_string":"Tulane University, United States","institution_ids":["https://openalex.org/I114832834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009769342"],"corresponding_institution_ids":["https://openalex.org/I114832834"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56876015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11122","display_name":"Online Learning and Analytics","score":0.9344000220298767,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9344000220298767,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7580000162124634},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6800000071525574},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.65829998254776},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.6563000082969666},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6331999897956848},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.5058000087738037},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.48510000109672546},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.4625000059604645},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.3305000066757202}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7580000162124634},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6800000071525574},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.65829998254776},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.6563000082969666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6394000053405762},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6331999897956848},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.4625000059604645},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4327999949455261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35030001401901245},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3264999985694885},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C36686422","wikidata":"https://www.wikidata.org/wiki/Q11167","display_name":"Tilde","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.3156999945640564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3122999966144562},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26109999418258667},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia251181","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251181","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia251181","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251181","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"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":{"We":[0,106],"formalize":[1],"sequential":[2],"decision\u2013making":[3],"with":[4,77],"information":[5,26],"acquisition":[6],"as":[7,44],"the":[8,65,85,115,131],"Probing-augmented":[9],"User-Centric":[10],"Selection":[11],"(PUCS)":[12],"framework,":[13],"where":[14],"a":[15,19,73,78,94,101],"learner":[16],"first":[17],"probes":[18],"subset":[20],"of":[21,82,104,133],"arms":[22],"to":[23,36,121],"obtain":[24],"side":[25],"on":[27],"resources":[28,54],"and":[29,31,48,55,60],"rewards,":[30],"then":[32],"assigns":[33],"K":[34],"plays":[35],"M":[37],"arms.":[38],"PUCS":[39],"encompasses":[40],"practical":[41],"scenarios":[42],"such":[43],"ridesharing,":[45],"wireless":[46],"scheduling,":[47],"content":[49],"recommendation,":[50],"in":[51],"which":[52],"both":[53],"payoffs":[56],"are":[57],"initially":[58],"unknown":[59],"probing":[61,75],"incurs":[62],"cost.":[63],"For":[64,84],"offline":[66],"setting":[67,87],"(known":[68],"payoff":[69,89],"distributions),":[70,90],"we":[71,91],"present":[72],"greedy":[74],"algorithm":[76,98],"constant-factor":[79],"approximation":[80],"guarantee":[81],"\u03b6=(e-1)/(2e-1).":[83],"online":[86],"(unknown":[88],"introduce":[92],"OLPA,":[93],"stochastic":[95],"combinatorial":[96],"bandit":[97],"that":[99,114],"achieves":[100],"regret":[102],"bound":[103,117],"O(\u221aT+ln2T).":[105],"also":[107],"prove":[108],"an":[109],"\u03a9(\u221aT)":[110],"lower":[111],"bound,":[112],"showing":[113],"upper":[116],"is":[118],"tight":[119],"up":[120],"logarithmic":[122],"factors.":[123],"Numerical":[124],"results":[125],"using":[126],"two":[127],"real-world":[128],"datasets":[129],"demonstrate":[130],"effectiveness":[132],"our":[134],"solutions.":[135]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-24T00:00:00"}