{"id":"https://openalex.org/W4410088776","doi":"https://doi.org/10.1145/3696410.3714802","title":"MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising","display_name":"MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4410088776","doi":"https://doi.org/10.1145/3696410.3714802"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714802","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714802","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714802","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714802","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048783161","display_name":"Quanyu Dai","orcid":"https://orcid.org/0000-0001-7578-2738"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quanyu Dai","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016406977","display_name":"Jiaren Xiao","orcid":"https://orcid.org/0000-0001-7649-4682"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiaren Xiao","raw_affiliation_strings":["The HK PolyU, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The HK PolyU, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040755010","display_name":"Zhaocheng Du","orcid":"https://orcid.org/0000-0002-1811-129X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaocheng Du","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048669373","display_name":"Jieming Zhu","orcid":"https://orcid.org/0000-0002-5666-8320"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieming Zhu","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070085327","display_name":"Chengxiao Luo","orcid":null},"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":"Chengxiao Luo","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101981128","display_name":"Xiao-Ming Wu","orcid":"https://orcid.org/0000-0002-3130-0554"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiao-Ming Wu","raw_affiliation_strings":["The HK PolyU, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The HK PolyU, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021124418","display_name":"Zhenhua Dong","orcid":"https://orcid.org/0000-0002-2231-4663"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Dong","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048783161"],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":2.4849,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89353414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4408","last_page":"4419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9901999831199646,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9901999831199646,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9822999835014343,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9789999723434448,"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/calibration","display_name":"Calibration","score":0.773650050163269},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.7576732039451599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6736505627632141},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.47697576880455017},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.22984230518341064},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.199901282787323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14825662970542908},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10509276390075684}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.773650050163269},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.7576732039451599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736505627632141},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.47697576880455017},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.22984230518341064},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.199901282787323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14825662970542908},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10509276390075684},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3696410.3714802","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714802","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714802","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2503.00334","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.00334","pdf_url":"https://arxiv.org/pdf/2503.00334","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714802","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714802","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714802","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410088776.pdf","grobid_xml":"https://content.openalex.org/works/W4410088776.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1528012351","https://openalex.org/W1968287817","https://openalex.org/W1996796871","https://openalex.org/W2012942264","https://openalex.org/W2074694452","https://openalex.org/W2076618162","https://openalex.org/W2125406789","https://openalex.org/W2548695521","https://openalex.org/W2964182926","https://openalex.org/W2970121940","https://openalex.org/W2990714382","https://openalex.org/W3001835520","https://openalex.org/W3102243698","https://openalex.org/W3132308722","https://openalex.org/W3183048323","https://openalex.org/W4200631330","https://openalex.org/W4221154425","https://openalex.org/W4284706321","https://openalex.org/W4284713552","https://openalex.org/W4290927708","https://openalex.org/W4306316946","https://openalex.org/W4384661020"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2077314575","https://openalex.org/W4315701745","https://openalex.org/W1990290471","https://openalex.org/W4380682190","https://openalex.org/W2005710836","https://openalex.org/W2102386043","https://openalex.org/W2945307361"],"abstract_inverted_index":{"In":[0],"online":[1],"advertising,":[2],"uncertainty":[3],"calibration":[4,30,72,141],"aims":[5],"to":[6,13,36],"adjust":[7],"a":[8,23,26,59,70,79,118],"ranking":[9],"model's":[10],"probability":[11,165],"predictions":[12,98],"better":[14],"approximate":[15],"the":[16,34,93,100,132,139,156],"true":[17],"likelihood":[18],"of":[19,87,159],"an":[20,75],"event,":[21],"e.g.,":[22],"click":[24],"or":[25],"conversion.":[27],"However,":[28],"existing":[29,109],"approaches":[31],"may":[32],"lack":[33],"ability":[35],"effectively":[37],"model":[38,61,120],"complex":[39],"nonlinear":[40,83],"relations,":[41],"consider":[42],"context":[43,115,124],"features,":[44],"and":[45,78,90,99,128,138,152],"achieve":[46],"balanced":[47,140],"performance":[48,142,158],"across":[49],"different":[50],"data":[51,144],"subsets.":[52],"To":[53],"tackle":[54],"these":[55],"challenges,":[56],"we":[57],"introduce":[58],"novel":[60],"called":[62],"Monotonic":[63],"Calibration":[64],"Networks,":[65],"featuring":[66],"three":[67],"key":[68],"designs:":[69],"monotonic":[71,133],"function":[73],"(MCF),":[74],"order-preserving":[76,127],"regularizer,":[77],"field-balance":[80,129],"regularizer.":[81],"The":[82,126],"MCF":[84,111],"is":[85],"capable":[86],"naturally":[88],"modeling":[89],"universally":[91],"approximating":[92],"intricate":[94],"relations":[95],"between":[96,135],"uncalibrated":[97],"posterior":[101],"probabilities,":[102],"thus":[103],"being":[104],"much":[105],"more":[106],"expressive":[107],"than":[108],"methods.":[110],"can":[112],"also":[113],"integrate":[114],"features":[116],"using":[117],"flexible":[119],"architecture,":[121],"thereby":[122],"achieving":[123],"awareness.":[125],"regularizers":[130],"promote":[131],"relationship":[134],"adjacent":[136],"bins":[137],"on":[143,149],"subsets,":[145],"respectively.":[146],"Experimental":[147],"results":[148],"both":[150],"public":[151],"industrial":[153],"datasets":[154],"demonstrate":[155],"superior":[157],"our":[160],"method":[161],"in":[162],"generating":[163],"well-calibrated":[164],"predictions.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}