{"id":"https://openalex.org/W4411021736","doi":"https://doi.org/10.1007/s11222-025-10642-6","title":"Gradient-free Gibbs sampler for shallow-wide Bayesian neural networks","display_name":"Gradient-free Gibbs sampler for shallow-wide Bayesian neural networks","publication_year":2025,"publication_date":"2025-06-04","ids":{"openalex":"https://openalex.org/W4411021736","doi":"https://doi.org/10.1007/s11222-025-10642-6"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-025-10642-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-025-10642-6","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106697589","display_name":"Geonhee Han","orcid":"https://orcid.org/0009-0002-2738-1627"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Geonhee Han","raw_affiliation_strings":["Graduate School of Arts and Sciences, Columbia University, New York, 10027, NY, US"],"affiliations":[{"raw_affiliation_string":"Graduate School of Arts and Sciences, Columbia University, New York, 10027, NY, US","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5106697589"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06057207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9973000288009644,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9973000288009644,"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/T10320","display_name":"Neural Networks and Applications","score":0.996999979019165,"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":0.9969000220298767,"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/gibbs-sampling","display_name":"Gibbs sampling","score":0.7434291243553162},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5627723932266235},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5478318929672241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4391210675239563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4243488609790802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38914498686790466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3203163743019104}],"concepts":[{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.7434291243553162},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5627723932266235},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5478318929672241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4391210675239563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4243488609790802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38914498686790466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3203163743019104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11222-025-10642-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-025-10642-6","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W146900863","https://openalex.org/W1567512734","https://openalex.org/W1969885422","https://openalex.org/W2002664623","https://openalex.org/W2013145865","https://openalex.org/W2030911724","https://openalex.org/W2040355924","https://openalex.org/W2099878672","https://openalex.org/W2108306139","https://openalex.org/W2163174637","https://openalex.org/W2559655401","https://openalex.org/W2604272474","https://openalex.org/W2951392159","https://openalex.org/W2964232608","https://openalex.org/W3043426275","https://openalex.org/W3129778969","https://openalex.org/W3183048323","https://openalex.org/W4248681815","https://openalex.org/W4288410437","https://openalex.org/W4324325927","https://openalex.org/W4385495095","https://openalex.org/W4385741616","https://openalex.org/W4392022717","https://openalex.org/W4402311031","https://openalex.org/W6926739375"],"related_works":["https://openalex.org/W3146360815","https://openalex.org/W1570787356","https://openalex.org/W208520381","https://openalex.org/W1863602751","https://openalex.org/W3037216507","https://openalex.org/W4233378595","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W840335986","https://openalex.org/W1501929113"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}