{"id":"https://openalex.org/W4288043484","doi":"https://doi.org/10.48550/arxiv.2207.10716","title":"JAWS: Auditing Predictive Uncertainty Under Covariate Shift","display_name":"JAWS: Auditing Predictive Uncertainty Under Covariate Shift","publication_year":2022,"publication_date":"2022-07-21","ids":{"openalex":"https://openalex.org/W4288043484","doi":"https://doi.org/10.48550/arxiv.2207.10716"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2207.10716","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.10716","pdf_url":"https://arxiv.org/pdf/2207.10716","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.10716","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032248545","display_name":"Drew Prinster","orcid":"https://orcid.org/0000-0003-3607-4493"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Prinster, Drew","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757577","display_name":"Anqi Liu","orcid":"https://orcid.org/0000-0002-0468-5698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Anqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055371276","display_name":"Suchi Saria","orcid":"https://orcid.org/0000-0002-7667-5210"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saria, Suchi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032248545"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9660999774932861,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9660999774932861,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9581999778747559,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9534000158309937,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.7422004342079163},{"id":"https://openalex.org/keywords/jackknife-resampling","display_name":"Jackknife resampling","score":0.6638830900192261},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5858954787254333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5232333540916443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5055382251739502},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4798659682273865},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.47310566902160645},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4691191017627716},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41188570857048035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40851640701293945},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3680775761604309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21525371074676514},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12056615948677063},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.10423359274864197}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7422004342079163},{"id":"https://openalex.org/C81790035","wikidata":"https://www.wikidata.org/wiki/Q847158","display_name":"Jackknife resampling","level":3,"score":0.6638830900192261},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5858954787254333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5232333540916443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5055382251739502},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4798659682273865},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.47310566902160645},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4691191017627716},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41188570857048035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40851640701293945},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3680775761604309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21525371074676514},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12056615948677063},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.10423359274864197},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2207.10716","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.10716","pdf_url":"https://arxiv.org/pdf/2207.10716","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2207.10716","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.10716","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.10716","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.10716","pdf_url":"https://arxiv.org/pdf/2207.10716","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4248520104","https://openalex.org/W4205886662","https://openalex.org/W4362236462","https://openalex.org/W2373289085","https://openalex.org/W1569344764","https://openalex.org/W33388808","https://openalex.org/W2592875554","https://openalex.org/W2579432172","https://openalex.org/W2951088188","https://openalex.org/W4250568833"],"abstract_inverted_index":{"We":[0,130],"propose":[1,89,132],"\\textbf{JAWS},":[2],"a":[3,90,109,120,154],"series":[4],"of":[5,35,51,74,156],"wrapper":[6],"methods":[7,97,140],"for":[8,141,162],"distribution-free":[9],"uncertainty":[10,167],"quantification":[11],"tasks":[12],"under":[13,62,83],"covariate":[14,63],"shift,":[15],"centered":[16],"on":[17,114],"the":[18,22,48,56,68,72,75,79,102,106,127,137],"core":[19],"method":[20],"\\textbf{JAW},":[21],"\\textbf{JA}ckknife+":[23],"\\textbf{W}eighted":[24],"with":[25],"data-dependent":[26],"likelihood-ratio":[27],"weights.":[28],"JAWS":[29,147],"also":[30],"includes":[31],"computationally":[32],"efficient":[33],"\\textbf{A}pproximations":[34],"JAW":[36,46,69],"using":[37],"higher-order":[38],"influence":[39,80],"functions:":[40],"\\textbf{JAWA}.":[41],"Theoretically,":[42],"we":[43,88],"show":[44],"that":[45,108],"relaxes":[47],"jackknife+'s":[49],"assumption":[50],"data":[52,160],"exchangeability":[53],"to":[54,93,101],"achieve":[55],"same":[57],"finite-sample":[58],"coverage":[59],"guarantee":[60,70],"even":[61],"shift.":[64],"JAWA":[65],"further":[66],"approaches":[67],"in":[71,153],"limit":[73],"sample":[76],"size":[77],"or":[78,122],"function":[81],"order":[82],"common":[84],"regularity":[85],"assumptions.":[86],"Moreover,":[87],"general":[91],"approach":[92],"repurposing":[94],"predictive":[95,150,166],"interval-generating":[96],"and":[98,134,164],"their":[99],"guarantees":[100],"reverse":[103],"task:":[104],"estimating":[105],"probability":[107],"prediction":[110],"is":[111],"erroneous,":[112],"based":[113],"user-specified":[115],"error":[116],"criteria":[117],"such":[118],"as":[119,136],"safe":[121],"acceptable":[123],"tolerance":[124],"threshold":[125],"around":[126],"true":[128],"label.":[129],"then":[131],"\\textbf{JAW-E}":[133],"\\textbf{JAWA-E}":[135],"repurposed":[138],"proposed":[139],"this":[142],"\\textbf{E}rror":[143],"assessment":[144],"task.":[145],"Practically,":[146],"outperform":[148],"state-of-the-art":[149],"inference":[151],"baselines":[152],"variety":[155],"biased":[157],"real":[158],"world":[159],"sets":[161],"interval-generation":[163],"error-assessment":[165],"auditing":[168],"tasks.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}