{"id":"https://openalex.org/W4401888119","doi":"https://doi.org/10.1145/3677892.3677905","title":"Outcome-Adaptive Elastic Net for Casual Inference from High-dimensional Collinear Data","display_name":"Outcome-Adaptive Elastic Net for Casual Inference from High-dimensional Collinear Data","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4401888119","doi":"https://doi.org/10.1145/3677892.3677905"},"language":"en","primary_location":{"id":"doi:10.1145/3677892.3677905","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677892.3677905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence","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":null,"display_name":"Haitao Zhang","orcid":"https://orcid.org/0009-0003-3711-524X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Zhang","raw_affiliation_strings":["Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0009-0003-3711-524X","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047441150","display_name":"Qiliang Zhang","orcid":"https://orcid.org/0000-0003-0010-6879"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiliang Zhang","raw_affiliation_strings":["Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0000-0003-0010-6879","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103400321","display_name":"Zongwei Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160359","display_name":"China Construction Eighth Engineering Division (China)","ror":"https://ror.org/04yt9wc05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210160359"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongwei Hu","raw_affiliation_strings":["The Fourth Company of China Construction Sixth Engineering Bureau Corp., Ltd., China"],"raw_orcid":"https://orcid.org/0009-0002-0826-6797","affiliations":[{"raw_affiliation_string":"The Fourth Company of China Construction Sixth Engineering Bureau Corp., Ltd., China","institution_ids":["https://openalex.org/I4210160359"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22629052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9581999778747559,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9581999778747559,"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/casual","display_name":"Casual","score":0.8022661209106445},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7630724310874939},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.7438529133796692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6028724312782288},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.4446318745613098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30948230624198914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1699247658252716},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.1050865650177002},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10195299983024597},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.061352699995040894}],"concepts":[{"id":"https://openalex.org/C2781426162","wikidata":"https://www.wikidata.org/wiki/Q2275793","display_name":"Casual","level":2,"score":0.8022661209106445},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7630724310874939},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.7438529133796692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6028724312782288},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.4446318745613098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30948230624198914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1699247658252716},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.1050865650177002},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10195299983024597},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.061352699995040894},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3677892.3677905","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677892.3677905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence","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":6,"referenced_works":["https://openalex.org/W1516659296","https://openalex.org/W1538826226","https://openalex.org/W2117934377","https://openalex.org/W2591688362","https://openalex.org/W2756471043","https://openalex.org/W3160537436"],"related_works":["https://openalex.org/W1005754617","https://openalex.org/W756683672","https://openalex.org/W2979523788","https://openalex.org/W2014044877","https://openalex.org/W3141514971","https://openalex.org/W1673318806","https://openalex.org/W2166929399","https://openalex.org/W3124834840","https://openalex.org/W4213314600","https://openalex.org/W3215211012"],"abstract_inverted_index":{"In":[0,66],"economics,":[1],"medicine,":[2],"and":[3,54],"sociology":[4],"high-dimensional":[5,47,72],"collinear":[6,48,73],"data":[7,20],"are":[8],"often":[9],"encountered.":[10],"Method":[11],"to":[12,31,51],"estimate":[13],"casual":[14],"effect":[15],"from":[16,46],"this":[17,28],"type":[18],"of":[19,22,27,69,78],"is":[21,30,41],"significance.":[23],"The":[24],"main":[25],"work":[26],"paper":[29],"present":[32],"a":[33],"variable":[34],"selection":[35],"technique,":[36],"outcome-adaptive":[37,52],"elastic":[38],"net,":[39],"which":[40],"designed":[42],"for":[43],"causal":[44],"inference":[45],"data.":[49],"Compared":[50],"LASSO":[53],"prior":[55],"knowledge":[56],"method,":[57],"it":[58,75],"shows":[59],"better":[60],"performance":[61],"in":[62],"estimating":[63],"treatment":[64],"effect.":[65],"Simulation":[67],"studies":[68],"strongly":[70],"correlated":[71],"data,":[74],"reduces":[76],"bias":[77],"ATE":[79],"estimation":[80],"over":[81],"50%.":[82]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}