{"id":"https://openalex.org/W4417032810","doi":"https://doi.org/10.48550/arxiv.2512.03861","title":"Scalable Decision Focused Learning via Online Trainable Surrogates","display_name":"Scalable Decision Focused Learning via Online Trainable Surrogates","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4417032810","doi":"https://doi.org/10.48550/arxiv.2512.03861"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2512.03861","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03861","pdf_url":"https://arxiv.org/pdf/2512.03861","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":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.03861","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118672208","display_name":"Gaetano Signorelli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Signorelli, Gaetano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027645414","display_name":"Michele Lombardi","orcid":"https://orcid.org/0000-0003-4709-8888"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lombardi, Michele","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":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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.37049999833106995,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.37049999833106995,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.1949000060558319,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.0812000036239624,"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/estimator","display_name":"Estimator","score":0.6848999857902527},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6568999886512756},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5694000124931335},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.5242999792098999},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49900001287460327},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4794999957084656},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.35569998621940613},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.35179999470710754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433000206947327},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6848999857902527},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6568999886512756},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5694000124931335},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.5242999792098999},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49900001287460327},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4794999957084656},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4318000078201294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4025999903678894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3601999878883362},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C186116695","wikidata":"https://www.wikidata.org/wiki/Q5249226","display_name":"Decision analysis","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.3199000060558319},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2512.03861","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03861","pdf_url":"https://arxiv.org/pdf/2512.03861","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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2512.03861","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.03861","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.03861","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03861","pdf_url":"https://arxiv.org/pdf/2512.03861","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417032810.pdf","grobid_xml":"https://content.openalex.org/works/W4417032810.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Decision":[0,45],"support":[1],"systems":[2],"often":[3],"rely":[4],"on":[5,72,89,103],"solving":[6],"complex":[7],"optimization":[8,133],"problems":[9],"that":[10],"may":[11],"require":[12],"to":[13,32,109,111,158],"estimate":[14],"uncertain":[15],"parameters":[16],"beforehand.":[17],"Recent":[18],"studies":[19],"have":[20],"shown":[21],"how":[22],"using":[23],"traditionally":[24],"trained":[25],"estimators":[26,91],"for":[27,122,129,137],"this":[28,50,64],"task":[29],"can":[30,48,100],"lead":[31],"suboptimal":[33],"solutions.":[34],"Using":[35],"the":[36,93,118,132,146],"actual":[37],"decision":[38],"cost":[39,141],"as":[40],"a":[41,54,112,123,154],"loss":[42,56,75],"function":[43,76],"(called":[44],"Focused":[46],"Learning)":[47],"address":[49,63],"issue,":[51,65],"but":[52],"with":[53,78,153],"severe":[55],"of":[57,95],"scalability":[58],"at":[59],"training":[60],"time.":[61],"To":[62],"we":[66],"propose":[67],"an":[68,79],"acceleration":[69],"method":[70,114,147],"based":[71],"replacing":[73],"costly":[74,149],"evaluations":[77],"efficient":[80],"surrogate.":[81],"Unlike":[82],"previously":[83],"defined":[84],"surrogates,":[85],"our":[86,144],"approach":[87],"relies":[88],"unbiased":[90],"reducing":[92],"risk":[94],"spurious":[96],"local":[97,105],"optima":[98],"and":[99,135],"provide":[101],"information":[102],"its":[104],"confidence":[106],"allowing":[107],"one":[108],"switch":[110],"fallback":[113],"when":[115],"needed.":[116],"Furthermore,":[117],"surrogate":[119],"is":[120],"designed":[121],"black-box":[124],"setting,":[125],"which":[126],"enables":[127],"compensating":[128],"simplifications":[130],"in":[131],"model":[134],"accounting":[136],"recourse":[138],"actions":[139],"during":[140],"computation.":[142],"In":[143],"results,":[145],"reduces":[148],"inner":[150],"solver":[151],"calls,":[152],"solution":[155],"quality":[156],"comparable":[157],"other":[159],"state-of-the-art":[160],"techniques.":[161]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-12-05T00:00:00"}