{"id":"https://openalex.org/W2904457235","doi":"https://doi.org/10.1609/aaai.v33i01.33012876","title":"Minimum Intervention Cover of a Causal Graph","display_name":"Minimum Intervention Cover of a Causal Graph","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904457235","doi":"https://doi.org/10.1609/aaai.v33i01.33012876","mag":"2904457235"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33012876","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33012876","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v33i01.33012876","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036070384","display_name":"Saravanan Kandasamy","orcid":"https://orcid.org/0000-0002-1672-2249"},"institutions":[{"id":"https://openalex.org/I11947397","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saravanan Kandasamy","raw_affiliation_strings":["Tata Institute of Fundamental Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tata Institute of Fundamental Research","institution_ids":["https://openalex.org/I11947397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034026104","display_name":"Arnab Bhattacharyya","orcid":"https://orcid.org/0000-0001-8693-7416"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arnab Bhattacharyya","raw_affiliation_strings":["Indian Institute of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004737962","display_name":"Vasant Honavar","orcid":"https://orcid.org/0000-0001-5399-3489"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasant G. Honavar","raw_affiliation_strings":["Pennsylvania State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"2876","last_page":"2885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9994999766349792,"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":0.9977999925613403,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9589999914169312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.7983237504959106},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.7818580865859985},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.5774646401405334},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.557245135307312},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5456202626228333},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5046874284744263},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.46998536586761475},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.4538671672344208},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44753220677375793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42481300234794617},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4235793352127075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38730961084365845},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.351355642080307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2873661518096924},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.23095348477363586},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17492333054542542},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16869571805000305}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.7983237504959106},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.7818580865859985},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5774646401405334},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.557245135307312},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5456202626228333},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5046874284744263},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.46998536586761475},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.4538671672344208},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44753220677375793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42481300234794617},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4235793352127075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38730961084365845},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.351355642080307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2873661518096924},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.23095348477363586},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17492333054542542},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16869571805000305},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v33i01.33012876","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33012876","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai::66716","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:ojs.aaai.org:article/4141","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4141","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4141/4019","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:eprints.iisc.ac.in:66716","is_oa":false,"landing_page_url":"http://eprints.iisc.ac.in/66716/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"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":{"id":"doi:10.1609/aaai.v33i01.33012876","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33012876","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1140435109","display_name":"BD Spokes: SPOKE: NORTHEAST: Collaborative Research: Integration of Environmental Factors and Causal Reasoning Approaches for Large-Scale Observational Health Research","funder_award_id":"1636795","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1750899738","display_name":"SHF:Large:Collaborative Research: Inferring Software Specifications from Open Source Repositories by Leveraging Data and Collective Community Expertise","funder_award_id":"1518732","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2102007698","display_name":null,"funder_award_id":"UL1 TR000127","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2369536808","display_name":null,"funder_award_id":"TR000127","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3526734248","display_name":"CIF21 DIBBs: EI: Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data Intensive Science","funder_award_id":"1640834","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4400767868","display_name":null,"funder_award_id":"UL1 TR000127 and TR002014","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G4906924687","display_name":null,"funder_award_id":"TR002014","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G5005031318","display_name":null,"funder_award_id":"UL1 TR000127","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5495163659","display_name":null,"funder_award_id":"TR002014","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5726614715","display_name":null,"funder_award_id":"UL1 TR000127","funder_id":"https://openalex.org/F4320310419","funder_display_name":"Pennsylvania State University"},{"id":"https://openalex.org/G5954223626","display_name":null,"funder_award_id":"UL1 TR000127","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G7544350372","display_name":null,"funder_award_id":"TR002014","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8924852827","display_name":null,"funder_award_id":"1640834","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310071","display_name":"Indian Institute of Science","ror":"https://ror.org/04dese585"},{"id":"https://openalex.org/F4320310419","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231"},{"id":"https://openalex.org/F4320320715","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27"},{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"},{"id":"https://openalex.org/F4320321024","display_name":"Defence Research and Development Organisation","ror":"https://ror.org/05k37v296"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320334247","display_name":"Center for Big Data Analytics, University of Texas at Austin","ror":null},{"id":"https://openalex.org/F4320334254","display_name":"Institute for Computational and Data Sciences, Pennsylvania State University","ror":null},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W19946003","https://openalex.org/W134202759","https://openalex.org/W1486066286","https://openalex.org/W1498973410","https://openalex.org/W1524313545","https://openalex.org/W1545542312","https://openalex.org/W1591031080","https://openalex.org/W1592297672","https://openalex.org/W1800852440","https://openalex.org/W1940200000","https://openalex.org/W1992816730","https://openalex.org/W2011039300","https://openalex.org/W2034631460","https://openalex.org/W2049910836","https://openalex.org/W2079062180","https://openalex.org/W2082299845","https://openalex.org/W2105897901","https://openalex.org/W2123619294","https://openalex.org/W2133512894","https://openalex.org/W2134067266","https://openalex.org/W2136850416","https://openalex.org/W2143891888","https://openalex.org/W2144351155","https://openalex.org/W2157932904","https://openalex.org/W2164549187","https://openalex.org/W2263423262","https://openalex.org/W2399384607","https://openalex.org/W2466989778","https://openalex.org/W2770644024","https://openalex.org/W2795329138","https://openalex.org/W2801890059","https://openalex.org/W2952114617","https://openalex.org/W2964335642","https://openalex.org/W2970567995","https://openalex.org/W3124238886","https://openalex.org/W3145915828","https://openalex.org/W3150893739","https://openalex.org/W4236213345","https://openalex.org/W4248145776","https://openalex.org/W4302423442","https://openalex.org/W6631500773","https://openalex.org/W6638284894","https://openalex.org/W6640362335","https://openalex.org/W6648485944","https://openalex.org/W6662852500","https://openalex.org/W6712938822","https://openalex.org/W6719851490","https://openalex.org/W6764014844","https://openalex.org/W6818062142","https://openalex.org/W6980457802","https://openalex.org/W7075292137"],"related_works":["https://openalex.org/W1547624382","https://openalex.org/W4320159092","https://openalex.org/W1498469922","https://openalex.org/W4372260129","https://openalex.org/W3215034539","https://openalex.org/W4313422683","https://openalex.org/W4243804444","https://openalex.org/W4289440770","https://openalex.org/W3088104152","https://openalex.org/W2574301230"],"abstract_inverted_index":{"Eliciting":[0],"causal":[1,26,48,55,87,107],"effects":[2,108],"from":[3,81],"interventions":[4,42,84],"and":[5,15,105,121],"observations":[6],"is":[7,51,138],"one":[8],"of":[9,13,35,41,64,75,77,100,117,126,143],"the":[10,62,78,114,141],"central":[11],"concerns":[12],"science,":[14],"increasingly,":[16],"artificial":[17],"intelligence.":[18],"We":[19,60,112],"provide":[20],"an":[21,72],"algorithm":[22],"that,":[23],"given":[24],"a":[25,31,38,54,86,98],"graph":[27],"G,":[28,36],"determines":[29],"MIC(G),":[30],"minimum":[32,39,118],"intervention":[33,93,119],"cover":[34,94,120],"i.e.,":[37],"set":[40],"that":[43,50,137],"suffices":[44],"for":[45,66],"identifying":[46],"every":[47],"effect":[49],"identifiable":[52],"in":[53,85,97,129,135,140],"model":[56,88],"characterized":[57,89],"by":[58,90],"G.":[59,91,144],"establish":[61],"completeness":[63],"do-calculus":[65],"computing":[67],"MIC(G).":[68],"MIC(G)":[69,131],"effectively":[70],"offers":[71],"efficient":[73],"compilation":[74],"all":[76,82],"information":[79],"obtainable":[80],"possible":[83],"Minimum":[92],"finds":[95],"applications":[96],"variety":[99],"contexts":[101],"including":[102],"counterfactual":[103],"inference,":[104],"generalizing":[106],"across":[109],"experimental":[110],"settings.":[111],"analyze":[113],"computational":[115],"complexity":[116],"identify":[122],"some":[123],"special":[124],"cases":[125],"practical":[127],"interest":[128],"which":[130],"can":[132],"be":[133],"computed":[134],"time":[136],"polynomial":[139],"size":[142]},"counts_by_year":[],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
