{"id":"https://openalex.org/W4408565856","doi":"https://doi.org/10.1109/icdmw65004.2024.00112","title":"Projection Pursuit Based Density Ratio Estimation","display_name":"Projection Pursuit Based Density Ratio Estimation","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4408565856","doi":"https://doi.org/10.1109/icdmw65004.2024.00112"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw65004.2024.00112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5071948143","display_name":"Meilin Wang","orcid":"https://orcid.org/0009-0000-6192-0407"},"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":true,"raw_author_name":"Meilin Wang","raw_affiliation_strings":["Institute of Statistics and Big Data Renmin University of China,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Statistics and Big Data Renmin University of China,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044072621","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0002-5691-7411"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["School of Mathematics and Statistics University of Melbourne,Melbourne,Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics University of Melbourne,Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701051","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0002-1300-5199"},"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":"Zheng Zhang","raw_affiliation_strings":["Institute of Statistics and Big Data Renmin University of China,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Statistics and Big Data Renmin University of China,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071948143"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29671657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"814","last_page":"819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9430999755859375,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9430999755859375,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.568272590637207},{"id":"https://openalex.org/keywords/projection-pursuit","display_name":"Projection pursuit","score":0.5506665706634521},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5132501125335693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48924684524536133},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.459695965051651},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.45470815896987915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17122745513916016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09931287169456482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.568272590637207},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.5506665706634521},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5132501125335693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48924684524536133},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.459695965051651},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.45470815896987915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17122745513916016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09931287169456482},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw65004.2024.00112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4253679632","https://openalex.org/W2312487961","https://openalex.org/W2371601355","https://openalex.org/W2367397236","https://openalex.org/W2373463565","https://openalex.org/W2329220454","https://openalex.org/W2354037709","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566"],"abstract_inverted_index":{"Density":[0],"ratio":[1,29,100],"estimation":[2,30,101,105],"is":[3],"a":[4,45,61],"fundamental":[5],"task":[6],"in":[7,48,96],"machine":[8],"learning,":[9],"for":[10,106],"its":[11],"broad":[12],"applications":[13],"across":[14],"multiple":[15],"domains,":[16],"including":[17],"covariate":[18],"shift":[19],"adaptation,":[20],"causal":[21,107],"inference":[22],"and":[23,42,102],"beyond.":[24],"Existing":[25],"research":[26],"on":[27,34],"density":[28,99],"has":[31],"predominantly":[32],"focused":[33],"ratio-matching":[35],"techniques.":[36],"However,":[37],"these":[38],"methods":[39,95],"are":[40],"kernel-based":[41],"thus":[43],"suffer":[44],"great":[46],"degradation":[47],"performance":[49],"when":[50],"faced":[51],"with":[52],"high":[53],"dimensional":[54],"data.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"introduce":[60],"novel":[62],"approach":[63],"called":[64],"projection":[65,82],"pursuit":[66,83],"based":[67],"DRE":[68],"(ppDRE)":[69],"to":[70],"address":[71],"the":[72,78,81,89,93],"curse":[73],"of":[74,80],"dimensionality":[75],"by":[76],"leveraging":[77],"benefits":[79],"approximation.":[84],"Experimental":[85],"results":[86],"demonstrate":[87],"that":[88],"ppDRE":[90],"method":[91],"outperforms":[92],"existing":[94],"both":[97],"direct":[98],"stabilized":[103],"weighting":[104],"inference.":[108]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
