{"id":"https://openalex.org/W2947220227","doi":"https://doi.org/10.3390/e21060551","title":"MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning","display_name":"MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning","publication_year":2019,"publication_date":"2019-05-31","ids":{"openalex":"https://openalex.org/W2947220227","doi":"https://doi.org/10.3390/e21060551","mag":"2947220227","pmid":"https://pubmed.ncbi.nlm.nih.gov/33267265"},"language":"en","primary_location":{"id":"doi:10.3390/e21060551","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21060551","pdf_url":"https://www.mdpi.com/1099-4300/21/6/551/pdf?version=1559295080","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/21/6/551/pdf?version=1559295080","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Diego Granziol","orcid":null},"institutions":[{"id":"https://openalex.org/I2802123492","display_name":"Oxford Research Group","ror":"https://ror.org/00z4w4f29","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I2802123492"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Diego Granziol","raw_affiliation_strings":["Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":["https://openalex.org/I2802123492","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Binxin Ru","orcid":null},"institutions":[{"id":"https://openalex.org/I2802123492","display_name":"Oxford Research Group","ror":"https://ror.org/00z4w4f29","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I2802123492"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Binxin Ru","raw_affiliation_strings":["Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":["https://openalex.org/I2802123492","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Stefan Zohren","orcid":null},"institutions":[{"id":"https://openalex.org/I2802123492","display_name":"Oxford Research Group","ror":"https://ror.org/00z4w4f29","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I2802123492"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stefan Zohren","raw_affiliation_strings":["Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":["https://openalex.org/I2802123492","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaowen Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I2802123492","display_name":"Oxford Research Group","ror":"https://ror.org/00z4w4f29","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I2802123492"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaowen Dong","raw_affiliation_strings":["Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":["https://openalex.org/I2802123492","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michael Osborne","orcid":null},"institutions":[{"id":"https://openalex.org/I2802123492","display_name":"Oxford Research Group","ror":"https://ror.org/00z4w4f29","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I2802123492"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Osborne","raw_affiliation_strings":["Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":["https://openalex.org/I2802123492","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Stephen Roberts","orcid":null},"institutions":[{"id":"https://openalex.org/I2802123492","display_name":"Oxford Research Group","ror":"https://ror.org/00z4w4f29","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I2802123492"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen Roberts","raw_affiliation_strings":["Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Research Group, University of Oxford, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":["https://openalex.org/I2802123492","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Oxford-Man Institute of Quantitative Finance, Walton Well Rd, Oxford OX2 6ED, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802123492","https://openalex.org/I40120149"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.741,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88593949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"6","first_page":"551","last_page":"551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.5246999859809875,"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":0.5246999859809875,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.11420000344514847,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.062300000339746475,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.6000999808311462},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5206999778747559},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49000000953674316},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4876999855041504},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44909998774528503},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.4417000114917755},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.4077000021934509},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.36629998683929443}],"concepts":[{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.6000999808311462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5799000263214111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5551999807357788},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5206999778747559},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5134999752044678},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49000000953674316},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4876999855041504},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.4417000114917755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4383000135421753},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.4077000021934509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3887999951839447},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.36629998683929443},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C193386753","wikidata":"https://www.wikidata.org/wiki/Q1130396","display_name":"Approximations of \u03c0","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C106752470","wikidata":"https://www.wikidata.org/wiki/Q1364826","display_name":"Joint entropy","level":3,"score":0.33719998598098755},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3292999863624573},{"id":"https://openalex.org/C50292564","wikidata":"https://www.wikidata.org/wiki/Q2462783","display_name":"Computational learning theory","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C89735579","wikidata":"https://www.wikidata.org/wiki/Q6795894","display_name":"Maximum entropy spectral estimation","level":3,"score":0.2741999924182892},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2700999975204468}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/e21060551","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21060551","pdf_url":"https://www.mdpi.com/1099-4300/21/6/551/pdf?version=1559295080","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33267265","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33267265","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:arXiv.org:1906.01101","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.01101","pdf_url":"https://arxiv.org/pdf/1906.01101","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":"pmh:oai:doaj.org/article:14429d1f4da8433aac39e50f42fa7433","is_oa":true,"landing_page_url":"https://doaj.org/article/14429d1f4da8433aac39e50f42fa7433","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 21, Iss 6, p 551 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/21/6/551/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e21060551","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7515039","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7515039","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e21060551","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21060551","pdf_url":"https://www.mdpi.com/1099-4300/21/6/551/pdf?version=1559295080","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947220227.pdf","grobid_xml":"https://content.openalex.org/works/W2947220227.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1552154247","https://openalex.org/W1839953896","https://openalex.org/W1977633159","https://openalex.org/W1979467333","https://openalex.org/W1990457366","https://openalex.org/W2006245542","https://openalex.org/W2008389020","https://openalex.org/W2014483737","https://openalex.org/W2025970186","https://openalex.org/W2032558547","https://openalex.org/W2033178790","https://openalex.org/W2100614560","https://openalex.org/W2102539288","https://openalex.org/W2115979064","https://openalex.org/W2121658992","https://openalex.org/W2131241448","https://openalex.org/W2132555912","https://openalex.org/W2135912864","https://openalex.org/W2136634080","https://openalex.org/W2138779671","https://openalex.org/W2160713246","https://openalex.org/W2167789032","https://openalex.org/W2170307371","https://openalex.org/W2289009226","https://openalex.org/W2318093595","https://openalex.org/W2607802485","https://openalex.org/W2751238863","https://openalex.org/W2764280570","https://openalex.org/W2783606728","https://openalex.org/W4211049957","https://openalex.org/W6629021139","https://openalex.org/W6637591494","https://openalex.org/W6659374036","https://openalex.org/W6676179485","https://openalex.org/W6745354612"],"related_works":[],"abstract_inverted_index":{"Efficient":[0],"approximation":[1],"lies":[2],"at":[3],"the":[4,39,42],"heart":[5],"of":[6,25,29,41],"large-scale":[7],"machine":[8],"learning":[9],"problems.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14],"propose":[15],"a":[16],"novel,":[17],"robust":[18],"maximum":[19],"entropy":[20],"algorithm,":[21],"which":[22],"is":[23],"capable":[24],"dealing":[26],"with":[27],"hundreds":[28],"moments":[30],"and":[31,52,67],"allows":[32],"for":[33],"computationally":[34],"efficient":[35],"approximations.":[36],"We":[37],"showcase":[38],"usefulness":[40],"proposed":[43],"method,":[44],"its":[45,54],"equivalence":[46],"to":[47],"constrained":[48],"Bayesian":[49,69],"variational":[50],"inference":[51],"demonstrate":[53],"superiority":[55],"over":[56],"existing":[57],"approaches":[58],"in":[59],"two":[60],"applications,":[61],"namely,":[62],"fast":[63],"log":[64],"determinant":[65],"estimation":[66],"information-theoretic":[68],"optimisation.":[70]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2019-06-07T00:00:00"}
