{"id":"https://openalex.org/W4417538457","doi":"https://doi.org/10.48550/arxiv.2506.16416","title":"On Continuous Monitoring of Risk Violations under Unknown Shift","display_name":"On Continuous Monitoring of Risk Violations under Unknown Shift","publication_year":2025,"publication_date":"2025-06-19","ids":{"openalex":"https://openalex.org/W4417538457","doi":"https://doi.org/10.48550/arxiv.2506.16416"},"language":"en","primary_location":{"id":"pmh:oai:dare.uva.nl:openaire/df63857d-a5ca-4210-8b2b-12a6987acd43","doi":null,"is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/on-continuous-monitoring-of-risk-violations-under-unknown-shift(df63857d-a5ca-4210-8b2b-12a6987acd43).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Timans, A, Verma, R, Nalisnick, E & Naesseth, C A 2025, 'On Continuous Monitoring of Risk Violations under Unknown Shift', Proceedings of Machine Learning Research, vol. 286, pp. 4204-4215. < https://proceedings.mlr.press/v286/timans25a.html >","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://handle.uba.uva.nl/personal/pure/en/publications/on-continuous-monitoring-of-risk-violations-under-unknown-shift(df63857d-a5ca-4210-8b2b-12a6987acd43).html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Timans, Alexander","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Timans, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Verma, Rajeev","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Verma, Rajeev","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003054496","display_name":"Eric Nalisnick","orcid":"https://orcid.org/0009-0009-1188-612X","observed_orcids":["https://orcid.org/0009-0009-1188-612X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nalisnick, Eric","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Naesseth, Christian A.","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naesseth, Christian A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26573366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.5356000065803528,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.5356000065803528,"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":0.09759999811649323,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.05869999900460243,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/distribution-shift","display_name":"distribution shift","score":0.7749999761581421},{"id":"https://openalex.org/keywords/online-monitoring","display_name":"online monitoring","score":0.35899999737739563},{"id":"https://openalex.org/keywords/sequential-hypothesis-testing","display_name":"sequential hypothesis testing","score":0.9980000257492065},{"id":"https://openalex.org/keywords/false-alarm-rate-control","display_name":"false alarm rate control","score":0.8489999771118164},{"id":"https://openalex.org/keywords/data-streams","display_name":"data streams","score":0.47200000286102295},{"id":"https://openalex.org/keywords/outlier-detection","display_name":"outlier detection","score":0.7799999713897705},{"id":"https://openalex.org/keywords/set-prediction","display_name":"set prediction","score":0.9760000109672546},{"id":"https://openalex.org/keywords/deployment-reliability","display_name":"deployment reliability","score":0.5389999747276306},{"id":"https://openalex.org/keywords/safety-assurance","display_name":"safety assurance","score":0.5059999823570251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589999794960022},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5900999903678894},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.544700026512146},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5388000011444092},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4228000044822693},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3880999982357025},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37229999899864197},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C2776902269","wikidata":"https://www.wikidata.org/wiki/Q5165493","display_name":"Continuous monitoring","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3070000112056732},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.298799991607666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29089999198913574},{"id":"https://openalex.org/C200749887","wikidata":"https://www.wikidata.org/wiki/Q1165574","display_name":"System monitoring","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C37945671","wikidata":"https://www.wikidata.org/wiki/Q7336207","display_name":"Risk-based testing","level":5,"score":0.26089999079704285},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:dare.uva.nl:openaire/df63857d-a5ca-4210-8b2b-12a6987acd43","doi":null,"is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/on-continuous-monitoring-of-risk-violations-under-unknown-shift(df63857d-a5ca-4210-8b2b-12a6987acd43).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Timans, A, Verma, R, Nalisnick, E & Naesseth, C A 2025, 'On Continuous Monitoring of Risk Violations under Unknown Shift', Proceedings of Machine Learning Research, vol. 286, pp. 4204-4215. < https://proceedings.mlr.press/v286/timans25a.html >","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:arXiv.org:2506.16416","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.16416","pdf_url":"https://arxiv.org/pdf/2506.16416","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2506.16416","doi":"https://doi.org/10.48550/arxiv.2506.16416","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.16416","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:dare.uva.nl:openaire/df63857d-a5ca-4210-8b2b-12a6987acd43","doi":null,"is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/on-continuous-monitoring-of-risk-violations-under-unknown-shift(df63857d-a5ca-4210-8b2b-12a6987acd43).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Timans, A, Verma, R, Nalisnick, E & Naesseth, C A 2025, 'On Continuous Monitoring of Risk Violations under Unknown Shift', Proceedings of Machine Learning Research, vol. 286, pp. 4204-4215. < https://proceedings.mlr.press/v286/timans25a.html >","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Machine":[0],"learning":[1],"systems":[2],"deployed":[3],"in":[4,62,125],"the":[5,19,26,56,67,87,95,106,117],"real":[6],"world":[7],"must":[8],"operate":[9],"under":[10,102,131],"dynamic":[11],"and":[12,39,128],"often":[13],"unpredictable":[14],"distribution":[15],"shifts.":[16,135],"This":[17],"challenges":[18],"validity":[20],"of":[21,59,82,108,119,134],"statistical":[22],"safety":[23],"assurances":[24],"on":[25,36,94,105],"system's":[27],"risk":[28,32,60],"established":[29],"beforehand.":[30],"Common":[31],"control":[33,93],"frameworks":[34],"rely":[35],"fixed":[37],"assumptions":[38,104],"lack":[40],"mechanisms":[41],"to":[42,79],"continuously":[43],"monitor":[44],"deployment":[45],"reliability.":[46],"In":[47],"this":[48],"work,":[49],"we":[50,72],"propose":[51,73],"a":[52,74,132],"general":[53],"framework":[54],"for":[55],"real-time":[57],"monitoring":[58,123],"violations":[61,81],"evolving":[63],"data":[64],"streams.":[65],"Leveraging":[66],"'testing":[68],"by":[69,122],"betting'":[70],"paradigm,":[71],"sequential":[75],"hypothesis":[76],"testing":[77],"procedure":[78],"detect":[80],"bounded":[83],"risks":[84,124],"associated":[85],"with":[86],"model's":[88],"decision-making":[89],"mechanism,":[90],"while":[91],"ensuring":[92],"false":[96],"alarm":[97],"rate.":[98],"Our":[99],"method":[100],"operates":[101],"minimal":[103],"nature":[107],"encountered":[109],"shifts,":[110],"rendering":[111],"it":[112],"broadly":[113],"applicable.":[114],"We":[115],"illustrate":[116],"effectiveness":[118],"our":[120],"approach":[121],"outlier":[126],"detection":[127],"set":[129],"prediction":[130],"variety":[133]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
