{"id":"https://openalex.org/W7123344902","doi":"https://doi.org/10.1109/cdc57313.2025.11312562","title":"Incentivized Lipschitz Bandits","display_name":"Incentivized Lipschitz Bandits","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W7123344902","doi":"https://doi.org/10.1109/cdc57313.2025.11312562"},"language":null,"primary_location":{"id":"doi:10.1109/cdc57313.2025.11312562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101761733","display_name":"Sourav Chakraborty","orcid":"https://orcid.org/0000-0002-8612-2505"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sourav Chakraborty","raw_affiliation_strings":["University of Colorado,Department of Computer Science,Boulder,CO,USA,80309"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado,Department of Computer Science,Boulder,CO,USA,80309","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122869001","display_name":"Amit Kiran Rege","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Kiran Rege","raw_affiliation_strings":["University of Colorado,Department of Computer Science,Boulder,CO,USA,80309"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado,Department of Computer Science,Boulder,CO,USA,80309","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108074013","display_name":"Claire E. Monteleoni","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claire Monteleoni","raw_affiliation_strings":["University of Colorado,Department of Computer Science,Boulder,CO,USA,80309"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado,Department of Computer Science,Boulder,CO,USA,80309","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398635","display_name":"Lijun Chen","orcid":"https://orcid.org/0000-0003-3916-0629"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijun Chen","raw_affiliation_strings":["University of Colorado,Department of Computer Science,Boulder,CO,USA,80309"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado,Department of Computer Science,Boulder,CO,USA,80309","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61774313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5120","last_page":"5125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9886999726295471,"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":0.9886999726295471,"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":0.0034000000450760126,"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":0.0010000000474974513,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8863999843597412},{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.7549999952316284},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6308000087738037},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5616000294685364},{"id":"https://openalex.org/keywords/lipschitz-continuity","display_name":"Lipschitz continuity","score":0.5414999723434448},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.491100013256073},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4672999978065491},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4408999979496002}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8863999843597412},{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.7549999952316284},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6308000087738037},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5616000294685364},{"id":"https://openalex.org/C22324862","wikidata":"https://www.wikidata.org/wiki/Q652707","display_name":"Lipschitz continuity","level":2,"score":0.5414999723434448},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5309000015258789},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5135999917984009},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.491100013256073},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4408999979496002},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.42080000042915344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.412200003862381},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3230000138282776},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2825999855995178},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc57313.2025.11312562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6466983556747437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,58,125],"study":[1],"incentivized":[2,61],"exploration":[3,62],"in":[4,84],"multi-armed":[5],"bandit":[6,23],"(MAB)":[7],"settings":[8],"with":[9,44,102,130],"infinitely":[10],"many":[11],"arms,":[12],"modeled":[13],"as":[14],"elements":[15],"of":[16,47,93,108],"a":[17],"continuous":[18],"metric":[19,110],"space.":[20,111],"Unlike":[21],"classical":[22],"models,":[24],"we":[25,87,113],"consider":[26],"scenarios":[27],"where":[28],"the":[29,45,56,66,105,109],"decision-maker":[30],"(principal)":[31],"incentivizes":[32],"myopic":[33],"agents":[34],"to":[35,55,117],"explore":[36],"beyond":[37],"their":[38],"greedy":[39],"choices":[40],"through":[41],"compensation,":[42],"but":[43],"complication":[46],"reward":[48],"drift,":[49],"i.e.,":[50],"biased":[51],"feedback":[52],"arising":[53],"due":[54],"incentives.":[57],"propose":[59],"novel":[60],"algorithms":[63,74],"that":[64,72],"discretize":[65],"infinite":[67],"arm":[68],"space":[69],"uniformly,":[70],"demonstrating":[71],"these":[73],"simultaneously":[75],"achieve":[76,121],"sublinear":[77,81],"cumulative":[78],"regret":[79,89],"and":[80,90,120],"total":[82],"compensation":[83,91],"expectation.":[85],"Specifically,":[86],"derive":[88],"bounds":[92],"$\\tilde":[94],"O\\left(":[95],"{{T^{d":[96],"+":[97,99],"1/d":[98],"2}}}":[100],"\\right),$":[101],"d":[103],"representing":[104],"covering":[106],"dimension":[107],"Furthermore,":[112],"generalize":[114],"our":[115,127],"results":[116],"contextual":[118],"bandits":[119],"comparable":[122],"performance":[123],"guarantees.":[124],"support":[126],"theoretical":[128],"findings":[129],"numerical":[131],"simulations.":[132]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-14T00:00:00"}
