{"id":"https://openalex.org/W4384519174","doi":"https://doi.org/10.1109/tpami.2023.3296062","title":"Rank-based Decomposable Losses in Machine Learning: A Survey","display_name":"Rank-based Decomposable Losses in Machine Learning: A Survey","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384519174","doi":"https://doi.org/10.1109/tpami.2023.3296062","pmid":"https://pubmed.ncbi.nlm.nih.gov/37459267"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3296062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3296062","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100687829","display_name":"Shu Hu","orcid":"https://orcid.org/0000-0003-1446-4140"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shu Hu","raw_affiliation_strings":["Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328001","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-7528-2407"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, SUNY, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, SUNY, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023752172","display_name":"Siwei Lyu","orcid":"https://orcid.org/0000-0002-0992-685X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siwei Lyu","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, SUNY, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, SUNY, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100687829"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":4.6924,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95913819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"45","issue":"11","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9988999962806702,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9975000023841858,"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/aggregate","display_name":"Aggregate (composite)","score":0.741483211517334},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.7286359071731567},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.686260998249054},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6484987735748291},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.5664750337600708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5148472189903259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5049856305122375},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5001468658447266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4973597824573517},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4761141240596771},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4741853177547455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3379557132720947},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33548542857170105},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10988417267799377}],"concepts":[{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.741483211517334},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.7286359071731567},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.686260998249054},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6484987735748291},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.5664750337600708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5148472189903259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5049856305122375},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5001468658447266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4973597824573517},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4761141240596771},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4741853177547455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3379557132720947},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33548542857170105},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10988417267799377},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3296062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3296062","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37459267","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37459267","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":292,"referenced_works":["https://openalex.org/W2115716","https://openalex.org/W2169610","https://openalex.org/W36711357","https://openalex.org/W37766008","https://openalex.org/W149581298","https://openalex.org/W1440015328","https://openalex.org/W1480538416","https://openalex.org/W1494922272","https://openalex.org/W1647779468","https://openalex.org/W1660390307","https://openalex.org/W1673923490","https://openalex.org/W1850992575","https://openalex.org/W1912128066","https://openalex.org/W1912982817","https://openalex.org/W1945616565","https://openalex.org/W1973435495","https://openalex.org/W1973756582","https://openalex.org/W1977406948","https://openalex.org/W1982032418","https://openalex.org/W1985554184","https://openalex.org/W1987063155","https://openalex.org/W1994039861","https://openalex.org/W1994616650","https://openalex.org/W2006093909","https://openalex.org/W2007275810","https://openalex.org/W2017332415","https://openalex.org/W2023163512","https://openalex.org/W2027560232","https://openalex.org/W2028034626","https://openalex.org/W2040870580","https://openalex.org/W2051834357","https://openalex.org/W2052112662","https://openalex.org/W2053463056","https://openalex.org/W2069870183","https://openalex.org/W2070579445","https://openalex.org/W2089468765","https://openalex.org/W2091918879","https://openalex.org/W2099210314","https://openalex.org/W2101626488","https://openalex.org/W2107753812","https://openalex.org/W2113640060","https://openalex.org/W2114315281","https://openalex.org/W2116444583","https://openalex.org/W2117539524","https://openalex.org/W2121038136","https://openalex.org/W2129957127","https://openalex.org/W2131195275","https://openalex.org/W2132984949","https://openalex.org/W2147366477","https://openalex.org/W2150338193","https://openalex.org/W2157825442","https://openalex.org/W2161920802","https://openalex.org/W2162152253","https://openalex.org/W2166912588","https://openalex.org/W2167732364","https://openalex.org/W2171033594","https://openalex.org/W2171671424","https://openalex.org/W2214660060","https://openalex.org/W2243397390","https://openalex.org/W2296073425","https://openalex.org/W2408108108","https://openalex.org/W2409290336","https://openalex.org/W2543927648","https://openalex.org/W2564472836","https://openalex.org/W2564590721","https://openalex.org/W2570685808","https://openalex.org/W2591575955","https://openalex.org/W2603825910","https://openalex.org/W2604745968","https://openalex.org/W2604763608","https://openalex.org/W2605572715","https://openalex.org/W2617078503","https://openalex.org/W2618114732","https://openalex.org/W2621265919","https://openalex.org/W2729365008","https://openalex.org/W2739299529","https://openalex.org/W2739634393","https://openalex.org/W2743499620","https://openalex.org/W2751425051","https://openalex.org/W2784638391","https://openalex.org/W2786807178","https://openalex.org/W2804776105","https://openalex.org/W2806805560","https://openalex.org/W2892283076","https://openalex.org/W2896894468","https://openalex.org/W2899291127","https://openalex.org/W2912592113","https://openalex.org/W2913636123","https://openalex.org/W2914344555","https://openalex.org/W2922064308","https://openalex.org/W2922131323","https://openalex.org/W2945002671","https://openalex.org/W2950094835","https://openalex.org/W2950344553","https://openalex.org/W2950492466","https://openalex.org/W2951894819","https://openalex.org/W2952403926","https://openalex.org/W2963277638","https://openalex.org/W2963351448","https://openalex.org/W2963355098","https://openalex.org/W2963516811","https://openalex.org/W2963735582","https://openalex.org/W2963857521","https://openalex.org/W2963899139","https://openalex.org/W2966817867","https://openalex.org/W2968009374","https://openalex.org/W2970941190","https://openalex.org/W2971190686","https://openalex.org/W2980199471","https://openalex.org/W2980288533","https://openalex.org/W2986800698","https://openalex.org/W2987400952","https://openalex.org/W2995540461","https://openalex.org/W2997682172","https://openalex.org/W2999771887","https://openalex.org/W2999950359","https://openalex.org/W3000721157","https://openalex.org/W3003278679","https://openalex.org/W3004038445","https://openalex.org/W3004533406","https://openalex.org/W3007918657","https://openalex.org/W3010140118","https://openalex.org/W3010184913","https://openalex.org/W3016108562","https://openalex.org/W3019882289","https://openalex.org/W3024571727","https://openalex.org/W3025638325","https://openalex.org/W3032949543","https://openalex.org/W3033833039","https://openalex.org/W3034431716","https://openalex.org/W3034941949","https://openalex.org/W3034998784","https://openalex.org/W3035359266","https://openalex.org/W3035768837","https://openalex.org/W3037299300","https://openalex.org/W3037308463","https://openalex.org/W3038091703","https://openalex.org/W3039237690","https://openalex.org/W3045904382","https://openalex.org/W3089415123","https://openalex.org/W3090605776","https://openalex.org/W3092425680","https://openalex.org/W3099309779","https://openalex.org/W3104898220","https://openalex.org/W3109542001","https://openalex.org/W3112139896","https://openalex.org/W3112828033","https://openalex.org/W3129637203","https://openalex.org/W3129700727","https://openalex.org/W3132032427","https://openalex.org/W3156379812","https://openalex.org/W3157386233","https://openalex.org/W3157459010","https://openalex.org/W3158852270","https://openalex.org/W3159649695","https://openalex.org/W3163096856","https://openalex.org/W3164123179","https://openalex.org/W3165675677","https://openalex.org/W3169131721","https://openalex.org/W3172322153","https://openalex.org/W3173850332","https://openalex.org/W3188113857","https://openalex.org/W3199071121","https://openalex.org/W3205403133","https://openalex.org/W3212960901","https://openalex.org/W4200158628","https://openalex.org/W4200329822","https://openalex.org/W4200599600","https://openalex.org/W4205087470","https://openalex.org/W4205848394","https://openalex.org/W4206551434","https://openalex.org/W4206964420","https://openalex.org/W4210941564","https://openalex.org/W4213150040","https://openalex.org/W4214748882","https://openalex.org/W4221152947","https://openalex.org/W4221159231","https://openalex.org/W4221161101","https://openalex.org/W4226211505","https://openalex.org/W4229005449","https://openalex.org/W4230302698","https://openalex.org/W4230674625","https://openalex.org/W4231678899","https://openalex.org/W4236362309","https://openalex.org/W4239510810","https://openalex.org/W4242010931","https://openalex.org/W4250589301","https://openalex.org/W4252698487","https://openalex.org/W4280636852","https://openalex.org/W4287077733","https://openalex.org/W4287124576","https://openalex.org/W4287867847","https://openalex.org/W4288088431","https://openalex.org/W4288640478","https://openalex.org/W4293846201","https://openalex.org/W4294170691","https://openalex.org/W4294635920","https://openalex.org/W4301028492","https://openalex.org/W4301480734","https://openalex.org/W4308327073","https://openalex.org/W6600089577","https://openalex.org/W6606065192","https://openalex.org/W6628642759","https://openalex.org/W6633435507","https://openalex.org/W6637162671","https://openalex.org/W6639808567","https://openalex.org/W6640425456","https://openalex.org/W6643393412","https://openalex.org/W6676372292","https://openalex.org/W6677539125","https://openalex.org/W6678100781","https://openalex.org/W6679390333","https://openalex.org/W6679728998","https://openalex.org/W6681915100","https://openalex.org/W6682165855","https://openalex.org/W6682691769","https://openalex.org/W6682953061","https://openalex.org/W6684188552","https://openalex.org/W6684932486","https://openalex.org/W6685623255","https://openalex.org/W6685655662","https://openalex.org/W6695669200","https://openalex.org/W6713496867","https://openalex.org/W6714394867","https://openalex.org/W6730898090","https://openalex.org/W6731927902","https://openalex.org/W6734301670","https://openalex.org/W6736057607","https://openalex.org/W6738103649","https://openalex.org/W6738602561","https://openalex.org/W6739868092","https://openalex.org/W6740200382","https://openalex.org/W6743215091","https://openalex.org/W6748310659","https://openalex.org/W6749773308","https://openalex.org/W6749892895","https://openalex.org/W6751647823","https://openalex.org/W6754700182","https://openalex.org/W6755336571","https://openalex.org/W6755422965","https://openalex.org/W6755817199","https://openalex.org/W6757850993","https://openalex.org/W6758327541","https://openalex.org/W6758736441","https://openalex.org/W6758757267","https://openalex.org/W6759241479","https://openalex.org/W6759621474","https://openalex.org/W6760647750","https://openalex.org/W6761059766","https://openalex.org/W6764339461","https://openalex.org/W6764733053","https://openalex.org/W6766132365","https://openalex.org/W6768945589","https://openalex.org/W6769844713","https://openalex.org/W6772989880","https://openalex.org/W6774201926","https://openalex.org/W6776544200","https://openalex.org/W6776736080","https://openalex.org/W6778804409","https://openalex.org/W6778982568","https://openalex.org/W6779459250","https://openalex.org/W6779631234","https://openalex.org/W6779807367","https://openalex.org/W6780238375","https://openalex.org/W6781334581","https://openalex.org/W6781806518","https://openalex.org/W6784243975","https://openalex.org/W6784398165","https://openalex.org/W6785030133","https://openalex.org/W6785818760","https://openalex.org/W6786637698","https://openalex.org/W6787247333","https://openalex.org/W6790804730","https://openalex.org/W6794293477","https://openalex.org/W6794421187","https://openalex.org/W6794971724","https://openalex.org/W6795173431","https://openalex.org/W6795429065","https://openalex.org/W6795798138","https://openalex.org/W6796353777","https://openalex.org/W6798413682","https://openalex.org/W6800961365","https://openalex.org/W6802318123","https://openalex.org/W6803112758","https://openalex.org/W6805827918","https://openalex.org/W6809631179","https://openalex.org/W6809874570","https://openalex.org/W6809874921","https://openalex.org/W6809978588","https://openalex.org/W6860505280","https://openalex.org/W7057629606","https://openalex.org/W7070346807"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907"],"abstract_inverted_index":{"Recent":[0],"works":[1],"have":[2,42],"revealed":[3],"an":[4,83],"essential":[5],"paradigm":[6],"in":[7,69,75,107,193],"designing":[8,70],"loss":[9,20,33,78,117,125],"functions":[10,118],"that":[11,46,119],"differentiate":[12],"individual":[13,19,35,51,67,86,127,165],"losses":[14,106,148,162,173],"versus":[15],"aggregate":[16,32,124,161],"losses.":[17,71,166,196],"The":[18,58],"measures":[21],"the":[22,25,31,62,121,131,145,157],"quality":[23],"of":[24,50,85,92,103,116,123,140],"model":[26],"on":[27,159],"a":[28,43,48,54,77,89,98,113],"sample,":[29],"while":[30],"combines":[34],"losses/scores":[36],"over":[37],"each":[38],"training":[39],"sample.":[40],"Both":[41],"common":[44],"procedure":[45],"aggregates":[47],"set":[49,141],"values":[52,68],"to":[53,133],"single":[55],"numerical":[56],"value.":[57],"ranking":[59],"order":[60],"reflects":[61],"most":[63],"fundamental":[64],"relation":[65],"among":[66],"In":[72],"addition,":[73],"decomposability,":[74],"which":[76,137],"can":[79],"be":[80],"decomposed":[81],"into":[82,149],"ensemble":[84],"terms,":[87],"becomes":[88],"significant":[90],"property":[91],"organizing":[93],"losses/scores.":[94],"This":[95],"survey":[96],"provides":[97],"systematic":[99],"and":[100,126,163,174,190],"comprehensive":[101],"review":[102,156],"rank-based":[104,146,160,164,194],"decomposable":[105,147,195],"machine":[108],"learning.":[109],"Specifically,":[110],"we":[111,155],"provide":[112],"new":[114],"taxonomy":[115],"follows":[120],"perspectives":[122],"loss.":[128],"We":[129,143,167,181],"identify":[130],"aggregator":[132],"form":[134],"such":[135],"losses,":[136],"are":[138],"examples":[139],"functions.":[142],"organize":[144],"eight":[150],"categories.":[151],"Following":[152],"these":[153,172],"categories,":[154],"literature":[158],"describe":[168],"general":[169],"formulas":[170],"for":[171],"connect":[175],"them":[176],"with":[177],"existing":[178],"research":[179,185],"topics.":[180],"also":[182],"suggest":[183],"future":[184],"directions":[186],"spanning":[187],"unexplored,":[188],"remaining,":[189],"emerging":[191],"issues":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}