{"id":"https://openalex.org/W4405464756","doi":"https://doi.org/10.1145/3670865.3673570","title":"Incentivized Exploration via Filtered Posterior Sampling","display_name":"Incentivized Exploration via Filtered Posterior Sampling","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4405464756","doi":"https://doi.org/10.1145/3670865.3673570"},"language":"en","primary_location":{"id":"doi:10.1145/3670865.3673570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670865.3673570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"article","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/A5032791497","display_name":"Yonatan Gur","orcid":"https://orcid.org/0000-0003-0764-3570"},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yonatan Gur","raw_affiliation_strings":["Netflix, Los Gatos, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0764-3570","affiliations":[{"raw_affiliation_string":"Netflix, Los Gatos, CA, USA","institution_ids":["https://openalex.org/I869089601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090394680","display_name":"Anand Kalvit","orcid":"https://orcid.org/0000-0002-8594-4937"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Kalvit","raw_affiliation_strings":["Stanford University, Stanford, CA, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-8594-4937","affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, United States of America","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058550942","display_name":"Aleksandrs Slivkins","orcid":"https://orcid.org/0000-0001-6899-6383"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4401726785","display_name":"Microsoft Research New York City (United States)","ror":"https://ror.org/056zprp28","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4401726785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aleksandrs Slivkins","raw_affiliation_strings":["Microsoft Research, New York City, NY, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-6899-6383","affiliations":[{"raw_affiliation_string":"Microsoft Research, New York City, NY, United States of America","institution_ids":["https://openalex.org/I4401726785","https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032791497"],"corresponding_institution_ids":["https://openalex.org/I869089601"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30440548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1200","last_page":"1200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5957964062690735},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5075055956840515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17681217193603516},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.1743093729019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5957964062690735},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5075055956840515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17681217193603516},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.1743093729019165}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670865.3673570","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670865.3673570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Background":[0],"and":[1,21,82],"motivation.":[2],"We":[3],"consider":[4],"a":[5,10,86,132],"principal":[6,81],"interacting":[7],"sequentially":[8],"with":[9],"flow":[11],"of":[12,36,76,89,110],"self-interested":[13],"agents":[14,41,123],"that":[15,50],"each":[16],"consume":[17],"information,":[18],"take":[19,125],"actions,":[20],"generate":[22],"new":[23,45],"information":[24,46,119],"over":[25,68],"time.":[26],"The":[27,108],"principal's":[28],"goal":[29],"is":[30,116],"to":[31,42,97,117,121,124],"maximize":[32],"the":[33,65,74,80,83,98,111],"aggregate":[34],"utility":[35],"all":[37],"agents,":[38,99],"which":[39],"necessitates":[40],"occasionally":[43],"acquire":[44],"by":[47],"exploratory":[48,61,126],"actions":[49,62,67],"might":[51],"otherwise":[52],"be":[53,92],"deemed":[54],"inferior":[55],"from":[56],"an":[57],"empirical":[58],"standpoint.":[59],"Such":[60],"help":[63],"discerning":[64],"best":[66],"time,":[69],"but":[70],"they":[71],"are":[72,102,131],"also":[73],"core":[75],"misaligned":[77],"incentives":[78,90],"between":[79],"agents.":[84],"While":[85],"desirable":[87],"alignment":[88],"may":[91],"achieved":[93],"via":[94],"monetary":[95],"payments":[96,101],"such":[100],"often":[103],"infeasible,":[104],"impractical,":[105],"or":[106],"unethical.":[107],"essence":[109],"Incentivized":[112],"Exploration":[113],"(IE)":[114],"problem":[115],"leverage":[118],"asymmetry":[120],"incentivize":[122],"actions.":[127],"Online":[128],"learning":[129],"algorithms":[130],"natural":[133],"vehicle":[134],"for":[135],"studying":[136],"this":[137],"problem.":[138]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}