{"id":"https://openalex.org/W7165675917","doi":"https://doi.org/10.48550/arxiv.2606.23219","title":"SPADE: Structure-Prior Adaptive Decision Estimation","display_name":"SPADE: Structure-Prior Adaptive Decision Estimation","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7165675917","doi":"https://doi.org/10.48550/arxiv.2606.23219"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.23219","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23219","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,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.23219","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139153135","display_name":"Yifan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5139153135"],"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.5435000061988831,"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"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.5435000061988831,"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"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.16740000247955322,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0949999988079071,"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/prior-probability","display_name":"Prior probability","score":0.5895000100135803},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.46950000524520874},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.46880000829696655},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4262999892234802},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.38499999046325684},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.3440999984741211},{"id":"https://openalex.org/keywords/decision-theory","display_name":"Decision theory","score":0.2897999882698059}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5895000100135803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5163999795913696},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49399998784065247},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.46950000524520874},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.46880000829696655},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3677999973297119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3594000041484833},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C3445786","wikidata":"https://www.wikidata.org/wiki/Q205805","display_name":"Conservation law","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C40422974","wikidata":"https://www.wikidata.org/wiki/Q741248","display_name":"Assertion","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.23219","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23219","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,"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.23219","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23219","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,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5345944166183472,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Physical-structure":[0],"priors":[1],"such":[2],"as":[3,76],"conservation":[4,155],"laws,":[5],"Hamiltonian":[6,160],"forms,":[7],"and":[8,92,117,139,157,194],"symmetries":[9],"can":[10,18],"improve":[11],"scientific":[12],"machine":[13],"learning":[14],"when":[15,21,126],"correct,":[16],"but":[17],"degrade":[19],"predictions":[20],"misspecified.":[22],"Existing":[23],"methods":[24],"usually":[25],"enforce":[26],"a":[27,32,36,44,69,118,150,153,158,170],"chosen":[28],"structure":[29,137,190],"or":[30,55],"tune":[31],"soft":[33],"penalty,":[34],"without":[35],"calibrated":[37],"rule":[38],"for":[39,142],"deciding":[40],"whether":[41,98],"to":[42,48,53,121,178],"impose":[43,49],"prior,":[45,152],"how":[46],"strongly":[47],"it,":[50],"which":[51,56],"prior":[52,100,124,161],"use,":[54],"subset":[57,143],"of":[58,78,82,184],"candidate":[59],"laws":[60,197],"holds.":[61],"We":[62],"introduce":[63],"SPADE,":[64],"Structure-Prior":[65],"Adaptive":[66],"Decision":[67],"Estimation,":[68],"closed-form":[70],"framework":[71],"that":[72],"treats":[73],"this":[74],"problem":[75],"shrinkage":[77,107],"the":[79,95,99,109,122,127,167,185,188],"structure-violating":[80],"block":[81],"an":[83,113],"unconstrained":[84],"estimator.":[85],"SPADE":[86,165],"uses":[87],"one":[88,93],"exact":[89],"specification":[90],"test":[91,96,128,133],"estimand:":[94],"decides":[97],"is":[101],"supported":[102],"by":[103],"data,":[104],"Stein-unbiased":[105],"James-Stein":[106],"sets":[108],"enforcement":[110],"strength":[111],"with":[112,182,191,198],"$O(\u03c3^2/n)$":[114],"oracle":[115],"guarantee,":[116],"gate":[119],"commits":[120],"hard":[123],"only":[125],"certifies":[129],"it.":[130],"The":[131],"same":[132],"yields":[134],"consistent":[135],"nested":[136],"selection":[138],"Benjamini-Hochberg":[140],"control":[141],"discovery":[144],"in":[145],"non-nested":[146],"constraint":[147],"families.":[148],"Across":[149],"linear-subspace":[151],"reservoir":[154],"law,":[156],"nonlinear":[159],"on":[162],"Duffing":[163],"dynamics,":[164],"tracks":[166],"oracle,":[168],"beats":[169],"neural-network":[171],"baseline,":[172],"reduces":[173],"correct-prior":[174],"regret":[175],"from":[176],"$10.3\\%$":[177],"$2.6\\%$,":[179],"matches":[180],"cross-validation":[181],"$1/71$":[183],"solves,":[186],"selects":[187],"correct":[189],"$100\\%$":[192],"accuracy,":[193],"recovers":[195],"partial":[196],"controlled":[199],"false":[200],"relaxation.":[201]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-24T00:00:00"}
