{"id":"https://openalex.org/W4412877058","doi":"https://doi.org/10.1145/3711896.3737077","title":"PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint","display_name":"PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877058","doi":"https://doi.org/10.1145/3711896.3737077"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737077","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737077","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737077","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737077","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022621004","display_name":"Zimu Wang","orcid":"https://orcid.org/0009-0002-1180-6395"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zimu Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-1180-6395","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079383053","display_name":"Hao Zou","orcid":"https://orcid.org/0000-0002-6000-6936"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zou","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6000-6936","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102516031","display_name":"Han Yu","orcid":"https://orcid.org/0009-0000-2828-4541"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Yu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-2828-4541","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028965727","display_name":"Shaohua Fan","orcid":"https://orcid.org/0000-0002-1224-4243"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Fan","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1224-4243","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072541670","display_name":"Haotian Wang","orcid":"https://orcid.org/0000-0003-2928-5575"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Wang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2928-5575","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100897474","display_name":"Yue He","orcid":"https://orcid.org/0009-0009-1536-1179"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue He","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-1536-1179","affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009228005","display_name":"Peng Cui","orcid":"https://orcid.org/0000-0003-2957-8511"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cui","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2957-8511","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14042368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3111","last_page":"3121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9922000169754028,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9907000064849854,"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/computer-science","display_name":"Computer science","score":0.6426635384559631},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6351660490036011},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5614649057388306},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.5503152012825012},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4339289963245392},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35495108366012573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25164303183555603},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10943859815597534},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10019221901893616},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07022073864936829}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426635384559631},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6351660490036011},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5614649057388306},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.5503152012825012},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4339289963245392},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35495108366012573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25164303183555603},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10943859815597534},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10019221901893616},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07022073864936829},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737077","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737077","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737077","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737077","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737077","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737077","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4335987071","display_name":null,"funder_award_id":"2023M741946, 2024T170494, GZB20230345","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G4427191711","display_name":null,"funder_award_id":"62141607","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7969778970","display_name":null,"funder_award_id":"62425206, 62141607, 62402263","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877058.pdf","grobid_xml":"https://content.openalex.org/works/W4412877058.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2122646361","https://openalex.org/W2130351130","https://openalex.org/W2528135682","https://openalex.org/W2911495555","https://openalex.org/W2914304175","https://openalex.org/W2945295328","https://openalex.org/W2992035660","https://openalex.org/W3015964296","https://openalex.org/W3034697737","https://openalex.org/W3096831136","https://openalex.org/W3101788651","https://openalex.org/W3104149808","https://openalex.org/W3128015545","https://openalex.org/W3135487809","https://openalex.org/W3150807214","https://openalex.org/W3162681016","https://openalex.org/W3162886737","https://openalex.org/W3165003809","https://openalex.org/W3167273282","https://openalex.org/W3193042250","https://openalex.org/W4229454497","https://openalex.org/W4379472727","https://openalex.org/W4400461591","https://openalex.org/W4400880400","https://openalex.org/W4403280172","https://openalex.org/W4405375153","https://openalex.org/W4410088877"],"related_works":["https://openalex.org/W2807251790","https://openalex.org/W2799406489","https://openalex.org/W2049792449","https://openalex.org/W986251431","https://openalex.org/W2884465220","https://openalex.org/W563727013","https://openalex.org/W2502468346","https://openalex.org/W2162155786","https://openalex.org/W2349580982","https://openalex.org/W3135859832"],"abstract_inverted_index":{"To":[0],"provide":[1],"actionable":[2],"insights":[3],"and":[4,36,45,77,88,111,119],"interpretations":[5],"for":[6],"individuals":[7],"affected":[8],"by":[9],"algorithmic":[10,12,104],"decisions,":[11],"recourse-demonstrating":[13],"how":[14],"outcomes":[15],"change":[16],"with":[17],"modifications":[18],"to":[19,23,62,67,98],"input":[20],"features-is":[21],"introduced":[22],"facilitate":[24],"outcome":[25],"adjustment.However,":[26],"existing":[27],"studies":[28],"often":[29],"focus":[30],"on":[31,42,85,108],"different":[32],"notions":[33],"of":[34,102,121],"feasibility":[35,70,101],"impose":[37],"complex":[38],"optimization":[39,82],"constraints,":[40],"relying":[41],"strong":[43],"assumptions":[44],"expert":[46],"knowledge":[47],"that":[48],"may":[49],"be":[50],"impractical":[51],"or":[52],"not":[53],"widely":[54],"applicable.In":[55],"this":[56,86],"paper,":[57],"we":[58,115],"propose":[59],"leveraging":[60],"adherence":[61],"the":[63,92,100,117],"perturbation":[64],"data":[65],"manifold":[66],"model":[68,87],"typical":[69],"challenges,":[71],"providing":[72],"both":[73,109],"a":[74,78],"theoretical":[75],"clarification":[76],"practical":[79],"framework.We":[80],"design":[81],"constraints":[83],"based":[84],"introduce":[89],"our":[90],"method,":[91],"Perturbation":[93],"Data":[94],"Manifold":[95],"Constraint":[96],"(PDMC),":[97],"ensure":[99],"generated":[103],"recourses.Through":[105],"extensive":[106],"experiments":[107],"simulated":[110],"real":[112],"clinical":[113],"data,":[114],"validate":[116],"rationale":[118],"effectiveness":[120],"PDMC.":[122]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}