{"id":"https://openalex.org/W3017053523","doi":"https://doi.org/10.5555/2567709.2567733","title":"Gaussian Kullback-Leibler approximate inference","display_name":"Gaussian Kullback-Leibler approximate inference","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W3017053523","doi":"https://doi.org/10.5555/2567709.2567733","mag":"3017053523"},"language":"en","primary_location":{"id":"mag:3017053523","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/2567709.2567733","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null},"type":"article","indexed_in":[],"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/A5072827212","display_name":"ChallisEdward","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ChallisEdward","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031692152","display_name":"BarberDavid","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"BarberDavid","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":0.5522,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83156879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"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":0.9944999814033508,"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":0.9944999814033508,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9926000237464905,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9868000149726868,"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/inference","display_name":"Inference","score":0.6911468505859375},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.6751717329025269},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5624063014984131},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.45080867409706116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4339507818222046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4245392084121704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4119393229484558},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3516630232334137},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32470154762268066},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09689423441886902}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6911468505859375},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.6751717329025269},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5624063014984131},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.45080867409706116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4339507818222046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4245392084121704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4119393229484558},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3516630232334137},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32470154762268066},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09689423441886902},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3017053523","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/2567709.2567733","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W342929321","https://openalex.org/W2539945922","https://openalex.org/W2134470445","https://openalex.org/W2549391567","https://openalex.org/W2414312348","https://openalex.org/W1905898145","https://openalex.org/W2012368408","https://openalex.org/W1584848118","https://openalex.org/W2806952208","https://openalex.org/W2313699489","https://openalex.org/W2564953340","https://openalex.org/W2398672828","https://openalex.org/W2118910129","https://openalex.org/W2109176692","https://openalex.org/W2151673022","https://openalex.org/W2318207794","https://openalex.org/W1919588359","https://openalex.org/W2964225090","https://openalex.org/W2911737975","https://openalex.org/W2964268907"],"abstract_inverted_index":{"We":[0],"investigate":[1],"Gaussian":[2],"Kullback-Leibler":[3],"(G-KL)":[4],"variational":[5],"approximate":[6],"inference":[7],"techniques":[8],"for":[9],"Bayesian":[10],"generalised":[11],"linear":[12],"models":[13],"and":[14],"various":[15],"extensions.":[16],"In":[17],"particular":[18],"we":[19],"make":[20],"the":[21],"following":[22],"novel...":[23]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
