{"id":"https://openalex.org/W4414297574","doi":"https://doi.org/10.1137/25m1722548","title":"Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems","display_name":"Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4414297574","doi":"https://doi.org/10.1137/25m1722548"},"language":"en","primary_location":{"id":"doi:10.1137/25m1722548","is_oa":false,"landing_page_url":"https://doi.org/10.1137/25m1722548","pdf_url":null,"source":{"id":"https://openalex.org/S165512578","display_name":"SIAM Journal on Scientific Computing","issn_l":"1064-8275","issn":["1064-8275","1095-7197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Scientific 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/A5115829703","display_name":"Baojun Che","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojun Che","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Beijing, China, and School of Mathematical Sciences, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Beijing, China, and School of Mathematical Sciences, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405119","display_name":"Yifan Chen","orcid":"https://orcid.org/0000-0001-5494-4435"},"institutions":[{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Chen","raw_affiliation_strings":["Courant Institute, New York University, New York, NY 10012 USA"],"raw_orcid":"https://orcid.org/0000-0001-5494-4435","affiliations":[{"raw_affiliation_string":"Courant Institute, New York University, New York, NY 10012 USA","institution_ids":["https://openalex.org/I36672615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059471353","display_name":"Zhenghao Huan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghao Huan","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031719304","display_name":"Daniel Zhengyu Huang","orcid":"https://orcid.org/0000-0001-6072-9352"},"institutions":[{"id":"https://openalex.org/I71459812","display_name":"Beijing International Studies University","ror":"https://ror.org/058s1vf87","country_code":"CN","type":"education","lineage":["https://openalex.org/I71459812"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel Zhengyu Huang","raw_affiliation_strings":["Corresponding author. Beijing International Center for Mathematical Research, Center for Machine Learning Research, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6072-9352","affiliations":[{"raw_affiliation_string":"Corresponding author. Beijing International Center for Mathematical Research, Center for Machine Learning Research, Peking University, Beijing, China","institution_ids":["https://openalex.org/I71459812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398435","display_name":"Weijie Wang","orcid":"https://orcid.org/0000-0003-1442-961X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Wang","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.188,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94299685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"47","issue":"5","first_page":"A2583","last_page":"A2608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9977999925613403,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9977999925613403,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9976000189781189,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9947999715805054,"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/inverse-problem","display_name":"Inverse problem","score":0.5848000049591064},{"id":"https://openalex.org/keywords/derivative","display_name":"Derivative (finance)","score":0.44130000472068787},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4242999851703644},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4239000082015991},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4108000099658966},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.4083999991416931},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3953000009059906},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.3720000088214874}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7617999911308289},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5856999754905701},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5848000049591064},{"id":"https://openalex.org/C111771559","wikidata":"https://www.wikidata.org/wiki/Q66295","display_name":"Derivative (finance)","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4108000099658966},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.4083999991416931},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3953000009059906},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3720000088214874},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3359000086784363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33239999413490295},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C163834973","wikidata":"https://www.wikidata.org/wiki/Q2004891","display_name":"Numerical linear algebra","level":3,"score":0.2946999967098236},{"id":"https://openalex.org/C2992863106","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse theory","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C176321772","wikidata":"https://www.wikidata.org/wiki/Q1430640","display_name":"Numerical stability","level":3,"score":0.2632000148296356},{"id":"https://openalex.org/C2777686260","wikidata":"https://www.wikidata.org/wiki/Q144037","display_name":"Calculus (dental)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C33257320","wikidata":"https://www.wikidata.org/wiki/Q1932744","display_name":"Second derivative","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2590999901294708},{"id":"https://openalex.org/C132878287","wikidata":"https://www.wikidata.org/wiki/Q1671727","display_name":"Inverse Gaussian distribution","level":3,"score":0.25769999623298645},{"id":"https://openalex.org/C76134657","wikidata":"https://www.wikidata.org/wiki/Q370634","display_name":"Generalized inverse","level":3,"score":0.2565999925136566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/25m1722548","is_oa":false,"landing_page_url":"https://doi.org/10.1137/25m1722548","pdf_url":null,"source":{"id":"https://openalex.org/S165512578","display_name":"SIAM Journal on Scientific Computing","issn_l":"1064-8275","issn":["1064-8275","1095-7197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5225355880","display_name":null,"funder_award_id":"12471403","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1531455566","https://openalex.org/W1538120041","https://openalex.org/W1581736319","https://openalex.org/W1970789124","https://openalex.org/W2014945091","https://openalex.org/W2016628424","https://openalex.org/W2020934227","https://openalex.org/W2030911724","https://openalex.org/W2036084078","https://openalex.org/W2040060987","https://openalex.org/W2046392353","https://openalex.org/W2048971218","https://openalex.org/W2054091988","https://openalex.org/W2063397409","https://openalex.org/W2071048859","https://openalex.org/W2077047259","https://openalex.org/W2095006601","https://openalex.org/W2101687185","https://openalex.org/W2119179880","https://openalex.org/W2121990344","https://openalex.org/W2122512809","https://openalex.org/W2132071585","https://openalex.org/W2142596047","https://openalex.org/W2144762236","https://openalex.org/W2149498546","https://openalex.org/W2157098139","https://openalex.org/W2225156818","https://openalex.org/W2236462275","https://openalex.org/W2786572313","https://openalex.org/W2791422536","https://openalex.org/W2924963336","https://openalex.org/W2963172141","https://openalex.org/W2997278301","https://openalex.org/W3005085468","https://openalex.org/W3040929669","https://openalex.org/W3093808819","https://openalex.org/W3102014803","https://openalex.org/W3103198077","https://openalex.org/W3120253624","https://openalex.org/W3130552779","https://openalex.org/W3153112662","https://openalex.org/W4206636568","https://openalex.org/W4225401869","https://openalex.org/W4293052541","https://openalex.org/W4293744237","https://openalex.org/W4306146787","https://openalex.org/W4311761049","https://openalex.org/W4387054207","https://openalex.org/W4396795608","https://openalex.org/W4403222638","https://openalex.org/W4404768140"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
