{"id":"https://openalex.org/W3168126546","doi":"https://doi.org/10.1145/3447548.3467456","title":"Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits","display_name":"Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3168126546","doi":"https://doi.org/10.1145/3447548.3467456","mag":"3168126546"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467456","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","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/A5053491985","display_name":"Ruohan Zhan","orcid":"https://orcid.org/0000-0002-3426-2784"},"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":"Ruohan Zhan","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083438983","display_name":"Vitor Hadad","orcid":"https://orcid.org/0000-0001-7623-7192"},"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":"Vitor Hadad","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003124205","display_name":"David A. Hirshberg","orcid":"https://orcid.org/0000-0003-0587-5474"},"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":"David A. Hirshberg","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001211242","display_name":"Susan Athey","orcid":"https://orcid.org/0000-0001-6934-562X"},"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":"Susan Athey","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2125","last_page":"2135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9829000234603882,"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/estimator","display_name":"Estimator","score":0.8699836730957031},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.8220977783203125},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.7688698768615723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7046053409576416},{"id":"https://openalex.org/keywords/a-weighting","display_name":"A-weighting","score":0.5038778185844421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40783679485321045},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.385865181684494},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37292397022247314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.353790283203125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26663488149642944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12282833456993103},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10560926795005798}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8699836730957031},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8220977783203125},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.7688698768615723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7046053409576416},{"id":"https://openalex.org/C70136482","wikidata":"https://www.wikidata.org/wiki/Q13583781","display_name":"A-weighting","level":3,"score":0.5038778185844421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40783679485321045},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.385865181684494},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37292397022247314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.353790283203125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26663488149642944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12282833456993103},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10560926795005798},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3447548.3467456","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-123318","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-123318","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1973240854","https://openalex.org/W2039522160","https://openalex.org/W2122124659","https://openalex.org/W2132862423","https://openalex.org/W2138909795","https://openalex.org/W2165612525","https://openalex.org/W2291713832","https://openalex.org/W2604520541","https://openalex.org/W2990860600","https://openalex.org/W3036909456","https://openalex.org/W3100534710","https://openalex.org/W3104349857","https://openalex.org/W3125459412","https://openalex.org/W3146985724","https://openalex.org/W3150893739","https://openalex.org/W4233471163"],"related_works":["https://openalex.org/W2092002118","https://openalex.org/W1880952682","https://openalex.org/W1963516324","https://openalex.org/W3122602933","https://openalex.org/W2950038056","https://openalex.org/W1544940847","https://openalex.org/W2014269659","https://openalex.org/W4231271795","https://openalex.org/W2280638972","https://openalex.org/W1971836599"],"abstract_inverted_index":{"It":[0],"has":[1],"become":[2],"increasingly":[3],"common":[4],"for":[5,11],"data":[6,17,81],"to":[7,24,30,50,91,103],"be":[8,22,62,92],"collected":[9,80],"adaptively,":[10],"example":[12],"using":[13],"contextual":[14],"bandits.":[15],"Historical":[16],"of":[18,75],"this":[19],"type":[20],"can":[21,61],"used":[23,49,97],"evaluate":[25],"other":[26],"treatment":[27,76],"assignment":[28,77],"policies":[29],"guide":[31],"future":[32],"innovation":[33],"or":[34,68],"experiments.":[35],"However,":[36],"policy":[37,44,90],"evaluation":[38],"is":[39],"challenging":[40],"if":[41],"the":[42,47,73,79,85,89,94],"target":[43],"differs":[45],"from":[46],"one":[48],"collect":[51],"data,":[52],"and":[53],"popular":[54],"estimators,":[55,60],"including":[56],"doubly":[57],"robust":[58],"(DR)":[59],"plagued":[63],"by":[64,88],"bias,":[65],"excessive":[66,104],"variance,":[67],"both.":[69],"In":[70],"particular,":[71],"when":[72],"pattern":[74,86],"in":[78,98],"looks":[82],"little":[83],"like":[84],"generated":[87],"evaluated,":[93],"importance":[95],"weights":[96],"DR":[99],"estimators":[100],"explode,":[101],"leading":[102],"variance.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
