{"id":"https://openalex.org/W4411403387","doi":"https://doi.org/10.1145/3744917","title":"Causality in Bandits: A Survey","display_name":"Causality in Bandits: A Survey","publication_year":2025,"publication_date":"2025-06-18","ids":{"openalex":"https://openalex.org/W4411403387","doi":"https://doi.org/10.1145/3744917"},"language":"en","primary_location":{"id":"doi:10.1145/3744917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3744917","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"review","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/A5015569132","display_name":"Chandrasekar Subramanian","orcid":"https://orcid.org/0009-0004-8572-125X"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Chandrasekar Subramanian","raw_affiliation_strings":["Indian Institute of Technology Madras"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009374923","display_name":"Balaraman Ravindran","orcid":"https://orcid.org/0000-0002-5364-7639"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Balaraman Ravindran","raw_affiliation_strings":["Wadhwani School of Data Science and Artificial Intelligence, Indian Institute of Technology Madras"],"affiliations":[{"raw_affiliation_string":"Wadhwani School of Data Science and Artificial Intelligence, Indian Institute of Technology Madras","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015569132"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16206277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":"12","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8518116474151611},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6719525456428528},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.637292742729187},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5469470620155334},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5359092354774475},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5207924246788025},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.5141551494598389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4712132513523102},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4699770510196686},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3663087785243988},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07290598750114441},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.06964799761772156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8518116474151611},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6719525456428528},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.637292742729187},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5469470620155334},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5359092354774475},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5207924246788025},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.5141551494598389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4712132513523102},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4699770510196686},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3663087785243988},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07290598750114441},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.06964799761772156},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3744917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3744917","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W1483365869","https://openalex.org/W1585303438","https://openalex.org/W2049910836","https://openalex.org/W2086206379","https://openalex.org/W2122124659","https://openalex.org/W2143117649","https://openalex.org/W2143891888","https://openalex.org/W2150291618","https://openalex.org/W2150328967","https://openalex.org/W2165698076","https://openalex.org/W2168405694","https://openalex.org/W2407865148","https://openalex.org/W2466989778","https://openalex.org/W2560674852","https://openalex.org/W2602856279","https://openalex.org/W2604738573","https://openalex.org/W2740396279","https://openalex.org/W2755613412","https://openalex.org/W2788967985","https://openalex.org/W2890951405","https://openalex.org/W2904121262","https://openalex.org/W2904362269","https://openalex.org/W2904688694","https://openalex.org/W2987232181","https://openalex.org/W2997352934","https://openalex.org/W3001218531","https://openalex.org/W3037006017","https://openalex.org/W3083184774","https://openalex.org/W3085253933","https://openalex.org/W3099117208","https://openalex.org/W3121342653","https://openalex.org/W3146985724","https://openalex.org/W3150893739","https://openalex.org/W3155850838","https://openalex.org/W3165890783","https://openalex.org/W3169424162","https://openalex.org/W3175172128","https://openalex.org/W3177391678","https://openalex.org/W3201098927","https://openalex.org/W4206530644","https://openalex.org/W4220858968","https://openalex.org/W4225837158","https://openalex.org/W4287866579","https://openalex.org/W4293566146","https://openalex.org/W4320559856","https://openalex.org/W4321855190","https://openalex.org/W4362465770","https://openalex.org/W4382239139","https://openalex.org/W4383468900","https://openalex.org/W4385227429","https://openalex.org/W4391620956","https://openalex.org/W4391667417","https://openalex.org/W4391766565","https://openalex.org/W4393160650","https://openalex.org/W4396778388","https://openalex.org/W4398230331","https://openalex.org/W4399197950","https://openalex.org/W6678276431","https://openalex.org/W6795769471","https://openalex.org/W6854320631","https://openalex.org/W6869286638"],"related_works":["https://openalex.org/W2081494945","https://openalex.org/W2389053294","https://openalex.org/W1970893504","https://openalex.org/W2348909947","https://openalex.org/W4312071518","https://openalex.org/W2901208600","https://openalex.org/W4292672442","https://openalex.org/W2574301230","https://openalex.org/W1547624382","https://openalex.org/W4320159092"],"abstract_inverted_index":{"The":[0],"literature":[1],"on":[2,50],"bandits":[3],"has":[4,19,31],"developed":[5],"largely":[6],"independently":[7],"of":[8,53],"advances":[9,39],"in":[10,14,40,65,96],"causal":[11],"inference.":[12],"Work":[13],"the":[15,22,45,51,85],"last":[16],"few":[17],"years":[18],"started":[20],"investigating":[21],"close":[23],"connections":[24],"between":[25],"these":[26,54],"two":[27,55],"areas":[28],"and":[29,68,81,83],"that":[30,36],"led":[32],"to":[33],"fruitful":[34],"ideas":[35],"have":[37],"produced":[38],"bandit":[41],"algorithms.":[42],"We":[43,57,76],"present":[44],"first":[46,58],"survey":[47],"focusing":[48],"specifically":[49],"intersection":[52],"areas.":[56],"provide":[59,84],"a":[60],"taxonomy":[61],"for":[62,93],"categorizing":[63],"research":[64,95],"this":[66,74,97],"area,":[67],"then":[69],"place":[70],"important":[71],"works":[72],"within":[73],"structure.":[75],"also":[77],"describe":[78],"various":[79],"algorithms":[80],"methods,":[82],"highlights.":[86],"Finally,":[87],"we":[88],"point":[89],"out":[90],"promising":[91],"directions":[92],"future":[94],"area.":[98]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}