{"id":"https://openalex.org/W4226145819","doi":"https://doi.org/10.1145/3530693","title":"Spectral Ranking Regression","display_name":"Spectral Ranking Regression","publication_year":2022,"publication_date":"2022-04-12","ids":{"openalex":"https://openalex.org/W4226145819","doi":"https://doi.org/10.1145/3530693"},"language":"en","primary_location":{"id":"doi:10.1145/3530693","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3530693","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5112644676","display_name":"\u0130lkay Y\u0131ld\u0131z","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108346","display_name":"BioSensics (United States)","ror":"https://ror.org/01s2ng935","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108346"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"\u0130lkay Y\u0131ld\u0131z","raw_affiliation_strings":["BioSensics LLC, Newton, MA"],"affiliations":[{"raw_affiliation_string":"BioSensics LLC, Newton, MA","institution_ids":["https://openalex.org/I4210108346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042038501","display_name":"Jennifer Dy","orcid":"https://orcid.org/0000-0002-8430-134X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Dy","raw_affiliation_strings":["ECE Department, Northeastern University, Boston, MA"],"affiliations":[{"raw_affiliation_string":"ECE Department, Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deniz Erdo\u011fmu\u015f","raw_affiliation_strings":["ECE Department, Northeastern University, Boston, MA"],"affiliations":[{"raw_affiliation_string":"ECE Department, Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009286480","display_name":"Susan Ostmo","orcid":"https://orcid.org/0000-0001-5219-0705"},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susan Ostmo","raw_affiliation_strings":["Casey Eye Institute, Oregon Health andScience University, Portland, OR"],"affiliations":[{"raw_affiliation_string":"Casey Eye Institute, Oregon Health andScience University, Portland, OR","institution_ids":["https://openalex.org/I165690674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033034428","display_name":"J. Peter Campbell","orcid":"https://orcid.org/0000-0001-7964-9475"},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Peter Campbell","raw_affiliation_strings":["Casey Eye Institute, Oregon Health andScience University, Portland, OR"],"affiliations":[{"raw_affiliation_string":"Casey Eye Institute, Oregon Health andScience University, Portland, OR","institution_ids":["https://openalex.org/I165690674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054028651","display_name":"Michael F. Chiang","orcid":"https://orcid.org/0000-0002-8172-7636"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]},{"id":"https://openalex.org/I4210139686","display_name":"National Eye Institute","ror":"https://ror.org/03wkg3b53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210139686"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael F. Chiang","raw_affiliation_strings":["National Eye Institute, National Institutes of Health, Bethesda, MD"],"affiliations":[{"raw_affiliation_string":"National Eye Institute, National Institutes of Health, Bethesda, MD","institution_ids":["https://openalex.org/I4210139686","https://openalex.org/I1299303238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049931304","display_name":"Stratis Ioannidis","orcid":"https://orcid.org/0000-0001-8355-4751"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stratis Ioannidis","raw_affiliation_strings":["ECE Department, Northeastern University, Boston, MA"],"affiliations":[{"raw_affiliation_string":"ECE Department, Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5112644676"],"corresponding_institution_ids":["https://openalex.org/I4210108346"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0410523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"6","first_page":"1","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9926999807357788,"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/T12676","display_name":"Machine Learning and ELM","score":0.9926999807357788,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9890000224113464,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9659000039100647,"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/ranking","display_name":"Ranking (information retrieval)","score":0.7228173613548279},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5796690583229065},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5704199075698853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5587759017944336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5038253664970398},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4793561100959778},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4273526072502136},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41487085819244385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3946433365345001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39420485496520996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3912762403488159},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32431942224502563},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27607372403144836}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7228173613548279},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5796690583229065},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5704199075698853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5587759017944336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5038253664970398},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4793561100959778},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4273526072502136},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41487085819244385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3946433365345001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39420485496520996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3912762403488159},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32431942224502563},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27607372403144836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3530693","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3530693","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W43928053","https://openalex.org/W269003556","https://openalex.org/W1542781032","https://openalex.org/W1566289585","https://openalex.org/W1583837637","https://openalex.org/W1597864774","https://openalex.org/W1963973267","https://openalex.org/W1965555277","https://openalex.org/W1982452826","https://openalex.org/W2030978506","https://openalex.org/W2033468335","https://openalex.org/W2047221353","https://openalex.org/W2051834357","https://openalex.org/W2066389806","https://openalex.org/W2074184241","https://openalex.org/W2075806862","https://openalex.org/W2091158010","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2108862644","https://openalex.org/W2127589108","https://openalex.org/W2139039274","https://openalex.org/W2143331230","https://openalex.org/W2158514621","https://openalex.org/W2158777411","https://openalex.org/W2160637580","https://openalex.org/W2163757302","https://openalex.org/W2322869011","https://openalex.org/W2406273144","https://openalex.org/W2420698967","https://openalex.org/W2463801705","https://openalex.org/W2478090196","https://openalex.org/W2496323672","https://openalex.org/W2516602727","https://openalex.org/W2531563875","https://openalex.org/W2559997609","https://openalex.org/W2763110165","https://openalex.org/W2772283936","https://openalex.org/W2796214461","https://openalex.org/W2886129097","https://openalex.org/W2889155365","https://openalex.org/W2897727244","https://openalex.org/W2902719825","https://openalex.org/W2912083425","https://openalex.org/W2912269676","https://openalex.org/W2912500072","https://openalex.org/W2913059114","https://openalex.org/W2914238450","https://openalex.org/W2949512722","https://openalex.org/W2950317848","https://openalex.org/W2962853966","https://openalex.org/W2963178962","https://openalex.org/W2963361330","https://openalex.org/W2963685823","https://openalex.org/W2963722311","https://openalex.org/W2964120262","https://openalex.org/W2998391154","https://openalex.org/W3011054152","https://openalex.org/W3011104427","https://openalex.org/W3017004843","https://openalex.org/W3159120966","https://openalex.org/W4239181501","https://openalex.org/W4250589301","https://openalex.org/W4254749579","https://openalex.org/W4255052368","https://openalex.org/W4255823880","https://openalex.org/W4289702183","https://openalex.org/W4290379643","https://openalex.org/W4292363360","https://openalex.org/W4300448178","https://openalex.org/W6631629896"],"related_works":["https://openalex.org/W2030978506","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W2312753042","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W3174513558"],"abstract_inverted_index":{"We":[0,24],"study":[1],"the":[2,44,58,70,81,90,131,139],"problem":[3,73],"of":[4,11,21,61,85,92],"ranking":[5,34,71,108,193],"regression,":[6],"in":[7,33,98],"which":[8],"a":[9,26,50,62,143,158,163],"dataset":[10],"rankings":[12],"is":[13,40,151],"used":[14],"to":[15,30,41,68,102,126,154,162,172,182],"learn":[16],"Plackett\u2013Luce":[17,45],"scores":[18,93],"as":[19],"functions":[20],"sample":[22],"features.":[23],"propose":[25],"novel":[27],"spectral":[28,77,105,159],"algorithm":[29,78],"accelerate":[31],"learning":[32,91],"regression.":[35],"Our":[36],"main":[37],"technical":[38],"contribution":[39],"show":[42,148],"that":[43,56,149],"negative":[46],"log-likelihood":[47],"augmented":[48],"with":[49],"proximal":[51,145],"penalty":[52,146],"has":[53],"stationary":[54],"points":[55],"satisfy":[57],"balance":[59],"equations":[60],"Markov":[63],"Chain.":[64],"This":[65],"allows":[66],"us":[67,101],"tackle":[69],"regression":[72,109],"via":[74,110,142,157],"an":[75],"efficient":[76],"by":[79,180],"using":[80],"Alternating":[82],"Directions":[83],"Method":[84],"Multipliers":[86],"(ADMM).":[87],"ADMM":[88,141],"separates":[89],"and":[94,97,113,147,176,186],"model":[95],"parameters,":[96],"turn,":[99],"enables":[100],"devise":[103],"fast":[104,155],"algorithms":[106,123,169],"for":[107],"both":[111],"shallow":[112,120],"deep":[114],"neural":[115],"network":[116],"(DNN)":[117],"models.":[118],"For":[119,134],"models,":[121,136],"our":[122,167],"are":[124,170],"up":[125,171,181],"579":[127],"times":[128,174],"faster":[129,175],"than":[130],"Newton\u2019s":[132],"method.":[133],"DNN":[135],"we":[137],"extend":[138],"standard":[140],"Kullback\u2013Leibler":[144],"this":[150],"still":[152],"amenable":[153],"inference":[156],"approach.":[160],"Compared":[161],"state-of-the-art":[164],"siamese":[165],"network,":[166],"resulting":[168],"175":[173],"attain":[177],"better":[178],"predictions":[179],"26%":[183],"Top-1":[184],"Accuracy":[185],"6%":[187],"Kendall-Tau":[188],"correlation":[189],"over":[190],"five":[191],"real-life":[192],"datasets.":[194]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
