{"id":"https://openalex.org/W7204761950","doi":"https://doi.org/10.48550/arxiv.2608.28179","title":"Conformal Risk-Averse Decision Making with Optimized Certainty Equivalent Risk Control","display_name":"Conformal Risk-Averse Decision Making with Optimized Certainty Equivalent Risk Control","publication_year":2026,"publication_date":"2026-08-28","ids":{"openalex":"https://openalex.org/W7204761950","doi":"https://doi.org/10.48550/arxiv.2608.28179"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.28179","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.28179","pdf_url":"https://arxiv.org/pdf/2608.28179","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.28179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124276661","display_name":"Amirmohammad Farzaneh","orcid":"https://orcid.org/0000-0003-1928-6005","observed_orcids":["https://orcid.org/0000-0003-1928-6005"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farzaneh, Amirmohammad","raw_affiliation_strings":["Institute for Intelligent Networked Systems (INSI) , Northeastern University London , London , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Networked Systems (INSI) , Northeastern University London , London , UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126495032","display_name":"Osvaldo Simeone","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simeone, Osvaldo","raw_affiliation_strings":["Institute for Intelligent Networked Systems (INSI) , Northeastern University London , London , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Networked Systems (INSI) , Northeastern University London , London , UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11413","display_name":"Risk and Portfolio Optimization","score":0.9047999978065491,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.9047999978065491,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.016200000420212746,"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"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0142000000923872,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/risk-averse-decision-making","display_name":"risk-averse decision making","score":0.968999981880188},{"id":"https://openalex.org/keywords/conformal-prediction","display_name":"conformal prediction","score":0.8389999866485596},{"id":"https://openalex.org/keywords/conditional-value-at-risk","display_name":"conditional value at risk","score":0.9369999766349792},{"id":"https://openalex.org/keywords/prediction-sets","display_name":"prediction sets","score":0.8759999871253967},{"id":"https://openalex.org/keywords/data-driven-calibration","display_name":"data-driven calibration","score":0.7269999980926514},{"id":"https://openalex.org/keywords/unknown-distribution","display_name":"unknown distribution","score":0.6370000243186951},{"id":"https://openalex.org/keywords/optimal-policy","display_name":"optimal policy","score":0.4819999933242798}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6061000227928162},{"id":"https://openalex.org/C7493553","wikidata":"https://www.wikidata.org/wiki/Q1520777","display_name":"Certainty","level":2,"score":0.5839999914169312},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5134999752044678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46810001134872437},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.42590001225471497},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42399999499320984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3797000050544739},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C2986909951","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision system","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33169999718666077},{"id":"https://openalex.org/C98214594","wikidata":"https://www.wikidata.org/wiki/Q850275","display_name":"Conformal map","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3116999864578247},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2971999943256378},{"id":"https://openalex.org/C115988155","wikidata":"https://www.wikidata.org/wiki/Q3262192","display_name":"Decision problem","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2800000011920929},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:2608.28179","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.28179","pdf_url":"https://arxiv.org/pdf/2608.28179","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.28179","doi":"https://doi.org/10.48550/arxiv.2608.28179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.28179","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":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.23800965","doi":"https://doi.org/10.5281/zenodo.23800965","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23800965","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.23800966","doi":"https://doi.org/10.5281/zenodo.23800966","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23800966","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.28179","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.28179","pdf_url":"https://arxiv.org/pdf/2608.28179","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5419401992","display_name":"FreeML: Engineering Networked Machine Learning via Meta-Free Energy Minimisation","funder_award_id":"EP/W024101/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8699128427","display_name":"ECCS-EPSRC: NeuroComm: Brain-Inspired Wireless Communications -- From Theoretical Foundations to Implementation for 6G and Beyond","funder_award_id":"EP/X011852/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204761950.pdf","grobid_xml":"https://content.openalex.org/works/W7204761950.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4407186934","https://openalex.org/W7163701558","https://openalex.org/W4417115480","https://openalex.org/W4417086273","https://openalex.org/W4416398371","https://openalex.org/W7221184673","https://openalex.org/W7167284696","https://openalex.org/W1976406849","https://openalex.org/W3142475459","https://openalex.org/W7129378454"],"abstract_inverted_index":{"We":[0,41],"study":[1],"risk-averse":[2],"decision":[3],"making,":[4],"in":[5],"which":[6,29],"an":[7,64],"agent":[8],"selects":[9],"actions":[10],"while":[11],"being":[12],"uncertain":[13],"about":[14],"the":[15,43,60,87,97],"true":[16],"system":[17],"state.":[18],"The":[19,100],"risk":[20,36],"is":[21,102],"measured":[22],"via":[23],"optimized":[24],"certainty":[25],"equivalent":[26],"(OCE)":[27],"metrics,":[28],"generalize":[30],"popular":[31],"criteria":[32],"such":[33],"as":[34],"mean-variance":[35],"and":[37,49,89],"conditional":[38],"value-at-risk":[39],"(CVaR).":[40],"characterize":[42],"optimal":[44],"policy":[45],"under":[46],"known":[47],"distributions,":[48,74],"show":[50],"that":[51],"it":[52],"reduces":[53],"to":[54],"a":[55,77,83],"prediction":[56,70],"set-based":[57],"solution":[58],"for":[59,86],"CVaR.":[61],"This":[62],"provides":[63],"operational":[65],"interpretation":[66],"of":[67,96],"conformal":[68],"prediction-type":[69],"sets.":[71],"For":[72],"unknown":[73],"we":[75],"develop":[76],"data-driven":[78],"calibration":[79,91],"strategy,":[80],"based":[81],"on":[82,104],"synthetic":[84],"model":[85],"likelihood":[88],"held-out":[90],"data,":[92],"yielding":[93],"high-probability":[94],"control":[95],"OCE":[98],"risk.":[99],"approach":[101],"evaluated":[103],"two":[105],"wireless":[106],"beamforming":[107],"settings.":[108]},"counts_by_year":[],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2026-09-01T00:00:00"}