{"id":"https://openalex.org/W4392902751","doi":"https://doi.org/10.1109/icassp48485.2024.10446323","title":"M<sup>3</sup>TN: Multi-Gate Mixture-of-Experts Based Multi-Valued Treatment Network for Uplift Modeling","display_name":"M<sup>3</sup>TN: Multi-Gate Mixture-of-Experts Based Multi-Valued Treatment Network for Uplift Modeling","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902751","doi":"https://doi.org/10.1109/icassp48485.2024.10446323"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"https://openalex.org/A5087242567","display_name":"Zexu Sun","orcid":"https://orcid.org/0000-0002-6727-6242"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"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":"Zexu Sun","raw_affiliation_strings":["Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","Beijing Key Laboratory of Big Data Management and Analysis Methods"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Management and Analysis Methods","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100767197","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0002-2318-3247"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"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":"Xu Chen","raw_affiliation_strings":["Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","Beijing Key Laboratory of Big Data Management and Analysis Methods"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China,Gaoling School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Management and Analysis Methods","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5065","last_page":"5069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9955999851226807,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9955999851226807,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9908999800682068,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9785000085830688,"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/computer-science","display_name":"Computer science","score":0.5159116983413696},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4655291438102722},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4530259966850281},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37761643528938293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36133551597595215}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5159116983413696},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4655291438102722},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4530259966850281},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37761643528938293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36133551597595215},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.4000000059604645,"display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1516659296","https://openalex.org/W1593114658","https://openalex.org/W2086234878","https://openalex.org/W2140899775","https://openalex.org/W2208550830","https://openalex.org/W2619014254","https://openalex.org/W2624816748","https://openalex.org/W2949676527","https://openalex.org/W2970278855","https://openalex.org/W2989322893","https://openalex.org/W3124999902","https://openalex.org/W3202432965","https://openalex.org/W3204398858","https://openalex.org/W4221149736","https://openalex.org/W4249025854","https://openalex.org/W4289104484","https://openalex.org/W4306316955","https://openalex.org/W4385567939","https://openalex.org/W4387559331","https://openalex.org/W4387878214","https://openalex.org/W4391549795","https://openalex.org/W6729580568","https://openalex.org/W6763480546"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Uplift":[0],"modeling":[1,130],"is":[2],"a":[3,11,53,91,114,126],"technique":[4],"used":[5],"to":[6,82,121,133,142],"predict":[7],"the":[8,72,123,135,144],"effect":[9],"of":[10,110,148],"treatment":[12,33,58],"(e.g.,":[13],"discounts)":[14],"on":[15,46],"an":[16],"individual\u2019s":[17],"response.":[18],"Although":[19],"several":[20],"methods":[21,42],"have":[22],"been":[23],"proposed":[24],"for":[25,68],"multi-valued":[26,69],"treatment,":[27],"they":[28],"are":[29,36],"extended":[30],"from":[31],"binary":[32],"methods.":[34],"There":[35],"still":[37],"some":[38],"limitations.":[39],"Firstly,":[40],"existing":[41],"calculate":[43],"uplift":[44,55,131],"based":[45,95],"predicted":[47],"responses,":[48],"which":[49],"may":[50,64],"not":[51],"guarantee":[52],"consistent":[54],"distribution":[56],"between":[57],"and":[59,146],"control":[60],"groups.":[61],"Moreover,":[62],"this":[63],"cause":[65],"cumulative":[66],"errors":[67],"treatment.":[70],"Secondly,":[71],"model":[73],"parameters":[74],"become":[75],"numerous":[76],"with":[77,118],"many":[78],"prediction":[79],"heads,":[80],"leading":[81],"reduced":[83],"efficiency.":[84],"To":[85],"address":[86],"these":[87],"issues,":[88],"we":[89],"propose":[90],"novel":[92],"Multi-gate":[93,119],"Mixture-of-Experts":[94,120],"Multi-valued":[96],"Treatment":[97],"Network":[98],"(M":[99],"<sup":[100,105,151],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[101,106,152],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[102,107,153],"TN).":[103],"M":[104,150],"TN":[108],"consists":[109],"two":[111],"components:":[112],"1)":[113],"feature":[115],"representation":[116],"module":[117,128],"improve":[122,134],"efficiency;":[124],"2)":[125],"reparameterization":[127],"by":[129],"explicitly":[132],"effectiveness.":[136],"We":[137],"also":[138],"conduct":[139],"extensive":[140],"experiments":[141],"demonstrate":[143],"effectiveness":[145],"efficiency":[147],"our":[149],"TN.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}