{"id":"https://openalex.org/W4412795956","doi":"https://doi.org/10.1109/tpami.2025.3594263","title":"Semi-Supervised Risk Control via Prediction-Powered Inference","display_name":"Semi-Supervised Risk Control via Prediction-Powered Inference","publication_year":2025,"publication_date":"2025-07-31","ids":{"openalex":"https://openalex.org/W4412795956","doi":"https://doi.org/10.1109/tpami.2025.3594263","pmid":"https://pubmed.ncbi.nlm.nih.gov/40742845"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3594263","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3594263","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tpami.2025.3594263","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053551032","display_name":"Bat-Sheva Einbinder","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Bat-Sheva Einbinder","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Technion, Haifa, Israel"],"raw_orcid":"https://orcid.org/0009-0001-8321-165X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093854356","display_name":"Liran Ringel","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Liran Ringel","raw_affiliation_strings":["Department of Computer Science, Technion, Haifa, Israel"],"raw_orcid":"https://orcid.org/0009-0006-5822-6856","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114803503","display_name":"Yaniv Romano","orcid":"https://orcid.org/0000-0001-8951-8583"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yaniv Romano","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Department of Computer Science, Technion, Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0001-8951-8583","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Department of Computer Science, Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053551032"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":6.5198,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96352003,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"47","issue":"12","first_page":"11080","last_page":"11090"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9381999969482422,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9381999969482422,"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/computer-science","display_name":"Computer science","score":0.6305731534957886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6276729106903076},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5756784081459045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5084887742996216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35984426736831665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6305731534957886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6276729106903076},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5756784081459045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5084887742996216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35984426736831665}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3594263","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3594263","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:40742845","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40742845","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":{"id":"doi:10.1109/tpami.2025.3594263","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3594263","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W104794557","https://openalex.org/W1499689786","https://openalex.org/W1990621008","https://openalex.org/W2003872598","https://openalex.org/W2019293164","https://openalex.org/W2037982184","https://openalex.org/W2103012681","https://openalex.org/W2113651538","https://openalex.org/W2166693382","https://openalex.org/W2581201870","https://openalex.org/W2910705748","https://openalex.org/W2916688788","https://openalex.org/W2945976633","https://openalex.org/W2981207549","https://openalex.org/W3001838726","https://openalex.org/W3022525124","https://openalex.org/W3034942609","https://openalex.org/W3049675384","https://openalex.org/W3081410614","https://openalex.org/W3126216366","https://openalex.org/W3156397721","https://openalex.org/W3199641511","https://openalex.org/W3204656437","https://openalex.org/W4231284028","https://openalex.org/W4287322212","https://openalex.org/W4302338619","https://openalex.org/W4361012985","https://openalex.org/W4387917715","https://openalex.org/W4388520288","https://openalex.org/W4393853362","https://openalex.org/W4401692489","https://openalex.org/W4408178946","https://openalex.org/W4410803261","https://openalex.org/W4415800631"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"The":[0,29],"risk-controlling":[1,126],"prediction":[2,54,79],"sets":[3],"(RCPS)":[4],"framework":[5,34],"is":[6,35,64,86],"a":[7,21,44,61,78,97],"general":[8],"tool":[9],"for":[10],"transforming":[11],"the":[12,48,52,57,70,108,118,130],"output":[13],"of":[14,51,59,134],"any":[15],"machine":[16],"learning":[17],"model":[18],"to":[19,36,42,77,105,125],"design":[20],"predictive":[22],"rule":[23,80],"with":[24,66,81],"rigorous":[25],"error":[26,49,83],"rate":[27,50,84],"control.":[28],"key":[30],"idea":[31],"behind":[32],"this":[33,92],"use":[37],"labeled":[38],"hold-out":[39,68],"calibration":[40,62,99],"data":[41,104],"tune":[43,107],"hyper-parameter":[45,72,109],"that":[46,65,85,101],"affects":[47],"resulting":[53],"rule.":[55],"However,":[56],"limitation":[58],"such":[60],"scheme":[63],"limited":[67],"data,":[69],"tuned":[71],"becomes":[73],"noisy":[74],"and":[75,132,144],"leads":[76],"an":[82],"often":[87],"unnecessarily":[88],"conservative.":[89],"To":[90],"overcome":[91],"sample-size":[93],"barrier,":[94],"we":[95],"introduce":[96],"semi-supervised":[98],"procedure":[100,115],"leverages":[102],"unlabeled":[103],"rigorously":[106],"without":[110],"compromising":[111],"statistical":[112],"validity.":[113],"Our":[114],"builds":[116],"upon":[117],"prediction-powered":[119],"inference":[120],"framework,":[121],"carefully":[122],"tailoring":[123],"it":[124],"tasks.":[127],"We":[128],"demonstrate":[129],"benefits":[131],"validity":[133],"our":[135],"proposal":[136],"through":[137],"two":[138],"real-data":[139],"experiments:":[140],"few-shot":[141],"image":[142],"classification":[143],"early":[145],"time":[146],"series":[147],"classification.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
