{"id":"https://openalex.org/W6929554405","doi":"https://doi.org/10.48550/arxiv.2502.02206","title":"Target-aware Bayesian inference via generalized thermodynamic integration","display_name":"Target-aware Bayesian inference via generalized thermodynamic integration","publication_year":2025,"publication_date":"2025-02-04","ids":{"openalex":"https://openalex.org/W6929554405","doi":"https://doi.org/10.48550/arxiv.2502.02206"},"language":"en","primary_location":{"id":"doi:10.48550/arxiv.2502.02206","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.02206","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":"article-journal"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2502.02206","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Llorente, F.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Llorente, F.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Martino, L.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martino, L.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Delgado, D.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Delgado, D.","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":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":true,"primary_topic":{"id":"https://openalex.org/T11927","display_name":"Plant Reproductive Biology","score":0.13289999961853027,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11927","display_name":"Plant Reproductive Biology","score":0.13289999961853027,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12856","display_name":"Transgenic Plants and Applications","score":0.11819999665021896,"subfield":{"id":"https://openalex.org/subfields/1305","display_name":"Biotechnology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12828","display_name":"Plant Genetic and Mutation Studies","score":0.0868000015616417,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/marginal-likelihood","display_name":"Marginal likelihood","score":0.5878999829292297},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5471000075340271},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5309000015258789},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5163999795913696},{"id":"https://openalex.org/keywords/bayesian-experimental-design","display_name":"Bayesian experimental design","score":0.5146999955177307},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.4447999894618988},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4375999867916107},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.4277999997138977},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.38429999351501465},{"id":"https://openalex.org/keywords/bayesian-linear-regression","display_name":"Bayesian linear regression","score":0.38190001249313354}],"concepts":[{"id":"https://openalex.org/C95923904","wikidata":"https://www.wikidata.org/wiki/Q6760420","display_name":"Marginal likelihood","level":3,"score":0.5878999829292297},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5471000075340271},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5309000015258789},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5163999795913696},{"id":"https://openalex.org/C99173435","wikidata":"https://www.wikidata.org/wiki/Q4874469","display_name":"Bayesian experimental design","level":5,"score":0.5146999955177307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5041000247001648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46230000257492065},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.4447999894618988},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4375999867916107},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.4277999997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4187000095844269},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39719998836517334},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39629998803138733},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.38190001249313354},{"id":"https://openalex.org/C191413810","wikidata":"https://www.wikidata.org/wiki/Q17100952","display_name":"Bayesian hierarchical modeling","level":4,"score":0.36059999465942383},{"id":"https://openalex.org/C127349201","wikidata":"https://www.wikidata.org/wiki/Q753445","display_name":"Numerical integration","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.33009999990463257},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.3287000060081482},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.3255999982357025},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.32280001044273376},{"id":"https://openalex.org/C141780669","wikidata":"https://www.wikidata.org/wiki/Q7783161","display_name":"Thermodynamic integration","level":3,"score":0.3215000033378601},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.3077999949455261},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C149569020","wikidata":"https://www.wikidata.org/wiki/Q25098598","display_name":"Bayesian average","level":5,"score":0.3009999990463257},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.2888000011444092},{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.28760001063346863},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.2825999855995178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27730000019073486},{"id":"https://openalex.org/C2779363554","wikidata":"https://www.wikidata.org/wiki/Q5420835","display_name":"Expectation propagation","level":4,"score":0.26930001378059387},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2502.02206","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.02206","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":"article-journal"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2502.02206","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.02206","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":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.45255380868911743}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,23,64,122],"Bayesian":[1,21,140],"inference,":[2,141],"we":[3,26,125],"are":[4,14,111,159,165],"usually":[5],"interested":[6],"in":[7,48,54,94],"the":[8,29,32,58,61,95,98,146],"numerical":[9,163],"approximation":[10],"of":[11,31,35,60,82,86,100,114,120,149,155,157],"integrals":[12],"that":[13],"posterior":[15,33,62,88,147],"expectations":[16],"or":[17],"marginal":[18,76,101],"likelihoods":[19],"(a.k.a.,":[20],"evidence).":[22],"this":[24,65,67,118,123],"paper,":[25],"focus":[27],"on":[28],"computation":[30,99],"expectation":[34,148],"a":[36,41,84,127,138,150],"function":[37],"$f(\\x)$.":[38],"We":[39],"consider":[40],"\\emph{target-aware}":[42],"scenario":[43],"where":[44],"$f(\\x)$":[45],"is":[46,134],"known":[47],"advance":[49],"and":[50,107,161],"can":[51,69,144],"be":[52,70],"exploited":[53],"order":[55],"to":[56,72,117,136],"improve":[57],"estimation":[59,78],"expectation.":[63],"scenario,":[66],"task":[68],"reduced":[71],"perform":[73,137],"several":[74],"independent":[75],"likelihood":[77],"tasks.":[79],"The":[80],"idea":[81],"using":[83],"path":[85,105],"tempered":[87],"distributions":[89],"has":[90],"been":[91],"widely":[92],"applied":[93],"literature":[96],"for":[97],"likelihoods.":[102],"Thermodynamic":[103],"integration,":[104],"sampling":[106,110],"annealing":[108],"importance":[109],"well-known":[112],"examples":[113],"algorithms":[115],"belonging":[116],"family":[119],"methods.":[121],"work,":[124],"introduce":[126],"generalized":[128],"thermodynamic":[129],"integration":[130],"(GTI)":[131],"scheme":[132],"which":[133],"able":[135],"target-aware":[139],"i.e.,":[142],"GTI":[143,158],"approximate":[145],"given":[151],"function.":[152],"Several":[153],"scenarios":[154],"application":[156],"discussed":[160],"different":[162],"simulations":[164],"provided.":[166]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
