{"id":"https://openalex.org/W2963554070","doi":"https://doi.org/10.1007/s11432-018-9656-y","title":"A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC","display_name":"A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC","publication_year":2018,"publication_date":"2018-12-19","ids":{"openalex":"https://openalex.org/W2963554070","doi":"https://doi.org/10.1007/s11432-018-9656-y","mag":"2963554070"},"language":"en","primary_location":{"id":"doi:10.1007/s11432-018-9656-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-018-9656-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","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/A5102745649","display_name":"Changyou Chen","orcid":"https://orcid.org/0000-0002-3230-2770"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Changyou Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, SUNY at Buffalo, Buffalo, 14260, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SUNY at Buffalo, Buffalo, 14260, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558666","display_name":"Wenlin Wang","orcid":"https://orcid.org/0009-0008-2844-0063"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenlin Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, 27708, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, 27708, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101959000","display_name":"Yizhe Zhang","orcid":"https://orcid.org/0000-0002-9599-7995"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yizhe Zhang","raw_affiliation_strings":["Microsoft Research, Redmond, 98052, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, 98052, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043729465","display_name":"Qinliang Su","orcid":"https://orcid.org/0000-0002-5903-2504"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinliang Su","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guanngzhou, 510006, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guanngzhou, 510006, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016448581","display_name":"Lawrence Carin","orcid":"https://orcid.org/0000-0001-6277-7948"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence Carin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, 27708, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, 27708, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102745649"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.5062,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75845078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"62","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":1.0,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":1.0,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.9023988842964172},{"id":"https://openalex.org/keywords/variance-reduction","display_name":"Variance reduction","score":0.7451369762420654},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5747043490409851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5454626083374023},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5119746923446655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4990401268005371},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4776800274848938},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.47627609968185425},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.45123276114463806},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4397438168525696},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4366213381290436},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.3850415349006653},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37334197759628296},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2929321825504303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2480199933052063}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.9023988842964172},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.7451369762420654},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5747043490409851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5454626083374023},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5119746923446655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4990401268005371},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4776800274848938},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.47627609968185425},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.45123276114463806},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4397438168525696},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4366213381290436},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.3850415349006653},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37334197759628296},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2929321825504303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2480199933052063},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11432-018-9656-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-018-9656-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W123701566","https://openalex.org/W1483090808","https://openalex.org/W1501362825","https://openalex.org/W1524172054","https://openalex.org/W1561768098","https://openalex.org/W1591801644","https://openalex.org/W1599118604","https://openalex.org/W1791038712","https://openalex.org/W1957482736","https://openalex.org/W2064675550","https://openalex.org/W2098741260","https://openalex.org/W2107438106","https://openalex.org/W2132968152","https://openalex.org/W2165652770","https://openalex.org/W2167433878","https://openalex.org/W2170678468","https://openalex.org/W2186210550","https://openalex.org/W2194775991","https://openalex.org/W2218230881","https://openalex.org/W2238987678","https://openalex.org/W2301983558","https://openalex.org/W2303021954","https://openalex.org/W2304667012","https://openalex.org/W2394967154","https://openalex.org/W2407904812","https://openalex.org/W2519604671","https://openalex.org/W2525332836","https://openalex.org/W2528137865","https://openalex.org/W2538933862","https://openalex.org/W2549291898","https://openalex.org/W2552704617","https://openalex.org/W2556372419","https://openalex.org/W2622990577","https://openalex.org/W2635018027","https://openalex.org/W2787027678","https://openalex.org/W2914852071","https://openalex.org/W2950177356","https://openalex.org/W2951105989","https://openalex.org/W2951233582","https://openalex.org/W2951266961","https://openalex.org/W2952215077","https://openalex.org/W2952300048","https://openalex.org/W2962760547","https://openalex.org/W2963008041","https://openalex.org/W2963156201","https://openalex.org/W2963545724","https://openalex.org/W2963592905","https://openalex.org/W2963646202","https://openalex.org/W2963818748","https://openalex.org/W4234552385","https://openalex.org/W4298422451","https://openalex.org/W6687483927","https://openalex.org/W6727099177","https://openalex.org/W6729119400","https://openalex.org/W6738816212","https://openalex.org/W6739739457","https://openalex.org/W6764214684"],"related_works":["https://openalex.org/W3031816500","https://openalex.org/W2752514685","https://openalex.org/W2298254442","https://openalex.org/W2169367269","https://openalex.org/W1977112355","https://openalex.org/W2900543860","https://openalex.org/W2980964960","https://openalex.org/W3034780828","https://openalex.org/W1981992409","https://openalex.org/W2067529449"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}