{"id":"https://openalex.org/W4296591815","doi":"https://doi.org/10.1145/3523227.3546781","title":"Dynamic Global Sensitivity for Differentially Private Contextual Bandits","display_name":"Dynamic Global Sensitivity for Differentially Private Contextual Bandits","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296591815","doi":"https://doi.org/10.1145/3523227.3546781"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3546781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3523227.3546781","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3523227.3546781","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3523227.3546781","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062299183","display_name":"Huazheng Wang","orcid":"https://orcid.org/0000-0003-3918-6925"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]},{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huazheng Wang","raw_affiliation_strings":["Department of Computer Science, University of Virginia, United States","Oregon State University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, United States","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Oregon State University, United States","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085963317","display_name":"David Zhao","orcid":"https://orcid.org/0000-0001-6348-0732"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Zhao","raw_affiliation_strings":["University of Virginia, United States"],"affiliations":[{"raw_affiliation_string":"University of Virginia, United States","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]},{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["Department of Computer Science, University of Virginia, United States","Oregon State University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, United States","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Oregon State University, United States","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062299183"],"corresponding_institution_ids":["https://openalex.org/I131249849","https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.339,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.631645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"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":1.0,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9715999960899353,"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"}},{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9605000019073486,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.7602757215499878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5623337626457214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3288537263870239},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06939318776130676}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.7602757215499878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623337626457214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3288537263870239},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06939318776130676},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3523227.3546781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3523227.3546781","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3523227.3546781","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2208.14555","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.14555","pdf_url":"https://arxiv.org/pdf/2208.14555","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":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3523227.3546781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3523227.3546781","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3523227.3546781","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1778338640","display_name":null,"funder_award_id":"IIS-2128019, IIS-2007492, IIS-155356","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5245339017","display_name":null,"funder_award_id":"1553568","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6132833097","display_name":"III: Small: Towards Explainable Personalization","funder_award_id":"2007492","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6894402473","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7441103298","display_name":null,"funder_award_id":"IIS-1553568","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8240942421","display_name":"III: Small: Moving offline learning to rank online, from theory to practice","funder_award_id":"2128019","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296591815.pdf","grobid_xml":"https://content.openalex.org/works/W4296591815.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1839697241","https://openalex.org/W1873763122","https://openalex.org/W1968049117","https://openalex.org/W1998498767","https://openalex.org/W2009611335","https://openalex.org/W2012992615","https://openalex.org/W2027595342","https://openalex.org/W2039522160","https://openalex.org/W2101771965","https://openalex.org/W2108114251","https://openalex.org/W2112420033","https://openalex.org/W2119738618","https://openalex.org/W2123147099","https://openalex.org/W2150230313","https://openalex.org/W2166074149","https://openalex.org/W2167372639","https://openalex.org/W2168115528","https://openalex.org/W2168405694","https://openalex.org/W2340290367","https://openalex.org/W2406823515","https://openalex.org/W2532022121","https://openalex.org/W2571516996","https://openalex.org/W2583515081","https://openalex.org/W2768483212","https://openalex.org/W2890884856","https://openalex.org/W2912998451","https://openalex.org/W2950929549","https://openalex.org/W2952235417","https://openalex.org/W2963062476","https://openalex.org/W2963595477","https://openalex.org/W2969261410","https://openalex.org/W3030054682","https://openalex.org/W3037588761","https://openalex.org/W3039836645","https://openalex.org/W3088648627","https://openalex.org/W3093548068","https://openalex.org/W3166586424","https://openalex.org/W4205228770","https://openalex.org/W4234228486","https://openalex.org/W4237910115","https://openalex.org/W4288346550","https://openalex.org/W4297689513","https://openalex.org/W4302310288"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829"],"abstract_inverted_index":{"Bandit":[0],"algorithms":[1,13],"have":[2,24],"become":[3],"a":[4,36,44,113],"reference":[5],"solution":[6],"for":[7,18],"interactive":[8],"recommendation.":[9],"However,":[10],"as":[11,61],"such":[12],"directly":[14],"interact":[15],"with":[16,83,102],"users":[17],"improved":[19],"recommendations,":[20],"serious":[21],"privacy":[22,101],"concerns":[23],"been":[25],"raised":[26],"regarding":[27],"its":[28,72],"practical":[29],"use.":[30],"In":[31],"this":[32],"work,":[33],"we":[34],"propose":[35],"differentially":[37],"private":[38],"linear":[39],"contextual":[40],"bandit":[41],"algorithm,":[42],"via":[43,123],"tree-based":[45],"mechanism":[46],"to":[47,53,93,97],"add":[48],"Laplace":[49],"or":[50],"Gaussian":[51],"noise":[52,96,107,121],"model":[54,63],"parameters.":[55],"Our":[56],"key":[57],"insight":[58],"is":[59],"that":[60],"the":[62,68,118,128,146],"converges":[64],"during":[65],"online":[66],"update,":[67],"global":[69,80,88,125],"sensitivity":[70,89,126],"of":[71,120,133],"parameters":[73],"shrinks":[74],"over":[75,117],"time":[76],"(thus":[77],"named":[78],"dynamic":[79,87,124],"sensitivity).":[81],"Compared":[82],"existing":[84,150],"solutions,":[85],"our":[86,134],"analysis":[90,116],"allows":[91],"us":[92],"inject":[94],"less":[95],"obtain":[98],"(\u03f5,":[99],"\u03b4)-differential":[100],"added":[103,122],"regret":[104,131],"caused":[105],"by":[106],"injection":[108],"in":[109],".":[110],"We":[111],"provide":[112],"rigorous":[114],"theoretical":[115],"amount":[119],"and":[127,142],"corresponding":[129],"upper":[130],"bound":[132],"proposed":[135],"algorithm.":[136],"Experimental":[137],"results":[138],"on":[139],"both":[140],"synthetic":[141],"real-world":[143],"datasets":[144],"confirmed":[145],"algorithm\u2019s":[147],"advantage":[148],"against":[149],"solutions.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
