{"id":"https://openalex.org/W4393395462","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10476912","title":"Identifying Direct Causes Using Intervened Target Variable","display_name":"Identifying Direct Causes Using Intervened Target Variable","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4393395462","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10476912"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59524.2023.10476912","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10476912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","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/A5101766621","display_name":"Kang Du","orcid":"https://orcid.org/0000-0001-7575-9220"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang Du","raw_affiliation_strings":["University of Utah,Department of Electrical and Computer Engineering","Department of Electrical and Computer Engineering, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101595454","display_name":"Yu Xiang","orcid":"https://orcid.org/0000-0002-2891-9153"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Xiang","raw_affiliation_strings":["University of Utah,Department of Electrical and Computer Engineering","Department of Electrical and Computer Engineering, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031252824","display_name":"Ilya Soloveychik","orcid":"https://orcid.org/0000-0001-9801-3165"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ilya Soloveychik","raw_affiliation_strings":["Hebrew University of Jerusalem,Department of Statistics","Department of Statistics, Hebrew University of Jerusalem"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebrew University of Jerusalem,Department of Statistics","institution_ids":["https://openalex.org/I197251160"]},{"raw_affiliation_string":"Department of Statistics, Hebrew University of Jerusalem","institution_ids":["https://openalex.org/I197251160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6679,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80861811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"915","last_page":"919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.18029999732971191,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.18029999732971191,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5785593390464783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4974811375141144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21084055304527283}],"concepts":[{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5785593390464783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4974811375141144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21084055304527283},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf59524.2023.10476912","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10476912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2073307618","https://openalex.org/W2151226328","https://openalex.org/W2460828264","https://openalex.org/W2790376986","https://openalex.org/W2963062793","https://openalex.org/W2963608118","https://openalex.org/W3196915488","https://openalex.org/W3201584721","https://openalex.org/W4287759479","https://openalex.org/W4309043389","https://openalex.org/W4372341250","https://openalex.org/W4388214012","https://openalex.org/W6682361391","https://openalex.org/W6779253641","https://openalex.org/W6800550264"],"related_works":["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","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Identifying":[0],"the":[1,20,27,31,35,63,68,84,110,113],"direct":[2],"causes":[3],"or":[4,47],"causal":[5,40,55,106],"parents":[6,41,56],"of":[7,34,81,112],"a":[8,77,99],"target":[9,36],"variable":[10,37],"is":[11,42],"crucial":[12],"for":[13,54,71,104],"scientific":[14],"discovery.":[15],"Focusing":[16],"on":[17],"linear":[18],"models,":[19],"invariant":[21,43,85],"prediction":[22],"framework":[23],"was":[24],"built":[25],"upon":[26],"invariance":[28],"principle,":[29],"namely,":[30],"conditional":[32],"distribution":[33],"given":[38],"its":[39],"across":[44],"multiple":[45],"environments":[46],"experimental":[48,69],"conditions.":[49],"However,":[50],"their":[51],"identifiability":[52,90],"results":[53,91],"can":[57],"be":[58],"restrictive":[59],"with":[60],"respect":[61],"to":[62,98],"underlying":[64],"graph":[65],"structure":[66],"and":[67,119],"conditions":[70],"generating":[72],"interventional":[73],"data.":[74],"Motivated":[75],"by":[76],"recent":[78],"alternative":[79],"formulation":[80],"invariance,":[82],"called":[83],"matching":[86],"property,":[87],"we":[88],"establish":[89],"under":[92],"relatively":[93],"mild":[94],"assumptions,":[95],"which":[96],"leads":[97],"simple":[100],"yet":[101],"effective":[102],"procedure":[103],"identifying":[105],"parents.":[107],"We":[108],"demonstrate":[109],"performance":[111],"proposed":[114],"method":[115],"over":[116],"various":[117],"synthetic":[118],"real":[120],"datasets.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}