{"id":"https://openalex.org/W4319166709","doi":"https://doi.org/10.48550/arxiv.2302.01324","title":"Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback","display_name":"Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback","publication_year":2023,"publication_date":"2023-02-02","ids":{"openalex":"https://openalex.org/W4319166709","doi":"https://doi.org/10.48550/arxiv.2302.01324"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2302.01324","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.01324","pdf_url":"https://arxiv.org/pdf/2302.01324","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.01324","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029623296","display_name":"Fares Fourati","orcid":"https://orcid.org/0000-0002-6913-7035"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fourati, Fares","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064822688","display_name":"Vaneet Aggarwal","orcid":"https://orcid.org/0000-0001-9131-4723"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aggarwal, Vaneet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038627779","display_name":"Christopher J. Quinn","orcid":"https://orcid.org/0000-0002-9053-1504"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quinn, Christopher John","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083193286","display_name":"Mohamed\u2010Slim Alouini","orcid":"https://orcid.org/0000-0003-4827-1793"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alouini, Mohamed-Slim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"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":0.995199978351593,"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":0.995199978351593,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9890000224113464,"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/submodular-set-function","display_name":"Submodular set function","score":0.9585791826248169},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.8025236129760742},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6111857295036316},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.6065100431442261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6061909198760986},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.5499778985977173},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5447708964347839},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5057103633880615},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.46846267580986023},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44367340207099915},{"id":"https://openalex.org/keywords/tilde","display_name":"Tilde","score":0.4226624071598053},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4036371111869812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07550862431526184}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.9585791826248169},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.8025236129760742},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6111857295036316},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.6065100431442261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6061909198760986},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.5499778985977173},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5447708964347839},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5057103633880615},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.46846267580986023},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44367340207099915},{"id":"https://openalex.org/C36686422","wikidata":"https://www.wikidata.org/wiki/Q11167","display_name":"Tilde","level":2,"score":0.4226624071598053},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4036371111869812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07550862431526184},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2302.01324","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.01324","pdf_url":"https://arxiv.org/pdf/2302.01324","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2302.01324","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2302.01324","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.01324","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.01324","pdf_url":"https://arxiv.org/pdf/2302.01324","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319166709.pdf","grobid_xml":"https://content.openalex.org/works/W4319166709.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2923536170","https://openalex.org/W2402949237","https://openalex.org/W2964314169","https://openalex.org/W2594118609","https://openalex.org/W2765425000","https://openalex.org/W3204684126","https://openalex.org/W2735578456","https://openalex.org/W4389478405","https://openalex.org/W2944632132","https://openalex.org/W2963059222"],"abstract_inverted_index":{"We":[0,57,85],"investigate":[1,20],"the":[2,21,42,50],"problem":[3,23],"of":[4,74,82],"unconstrained":[5],"combinatorial":[6],"multi-armed":[7],"bandits":[8],"with":[9],"full-bandit":[10,95],"feedback":[11],"and":[12,27,49,64,80,99],"stochastic":[13],"rewards":[14],"for":[15,77],"submodular":[16,26,98],"maximization.":[17],"Previous":[18],"works":[19],"same":[22],"assuming":[24],"a":[25,36,70],"monotone":[28],"reward":[29,43],"function.":[30],"In":[31],"this":[32],"work,":[33],"we":[34],"study":[35],"more":[37],"general":[38],"problem,":[39],"i.e.,":[40],"when":[41],"function":[44],"is":[45,52],"not":[46],"necessarily":[47],"monotone,":[48],"submodularity":[51],"assumed":[53],"only":[54],"in":[55,88,97],"expectation.":[56],"propose":[58],"Randomized":[59],"Greedy":[60],"Learning":[61],"(RGL)":[62],"algorithm":[63],"theoretically":[65],"prove":[66],"that":[67,90],"it":[68],"achieves":[69],"$\\frac{1}{2}$-regret":[71],"upper":[72],"bound":[73],"$\\tilde{\\mathcal{O}}(n":[75],"T^{\\frac{2}{3}})$":[76],"horizon":[78],"$T$":[79],"number":[81],"arms":[83],"$n$.":[84],"also":[86],"show":[87],"experiments":[89],"RGL":[91],"empirically":[92],"outperforms":[93],"other":[94],"variants":[96],"non-submodular":[100],"settings.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2023-02-04T00:00:00"}
