{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:57:51Z","timestamp":1742954271047,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319754192"},{"type":"electronic","value":"9783319754208"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-75420-8_13","type":"book-chapter","created":{"date-parts":[[2018,2,13]],"date-time":"2018-02-13T11:13:28Z","timestamp":1518520408000},"page":"137-146","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Fast Algorithm for Posterior Inference with Latent Dirichlet Allocation"],"prefix":"10.1007","author":[{"given":"Bui","family":"Thi-Thanh-Xuan","sequence":"first","affiliation":[]},{"given":"Vu","family":"Van-Tu","sequence":"additional","affiliation":[]},{"given":"Atsuhiro","family":"Takasu","sequence":"additional","affiliation":[]},{"given":"Khoat","family":"Than","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,2,14]]},"reference":[{"issue":"Jan","key":"13_CR1","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"13_CR2","unstructured":"Hazan, E., Kale, S.: Projection-free online learning. In: Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 26 June \u2013 1 July 2012, Edinburgh, Scotland, UK (2012)"},{"key":"13_CR3","unstructured":"Than, K., Doan, T.: Dual online inference for latent Dirichlet allocation. In: ACML (2014)"},{"key":"13_CR4","unstructured":"Than, K., Doan, T.: Guaranteed inference in topic models. arXiv preprint arXiv:1512.03308 (2015)"},{"issue":"4","key":"13_CR5","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1145\/2133806.2133826","volume":"55","author":"DM Blei","year":"2012","unstructured":"Blei, D.M.: Probabilistic topic models. Commun. ACM 55(4), 77\u201384 (2012)","journal-title":"Commun. ACM"},{"issue":"4","key":"13_CR6","doi-asserted-by":"crossref","first-page":"1567","DOI":"10.1093\/genetics\/164.4.1567","volume":"164","author":"D Falush","year":"2003","unstructured":"Falush, D., Stephens, M., Pritchard, J.K.: Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164(4), 1567 (2003)","journal-title":"Genetics"},{"key":"13_CR7","unstructured":"Hoffman, M., Blei, D.M., Mimno, D.M.: Sparse stochastic inference for latent Dirichlet allocation. In: Proceedings of the 29th International Conference on Machine Learning (ICML 2012), pp. 1599\u20131606. ACM (2012)"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Yao, L., Mimno, D., McCallum, A.: Efficient methods for topic model inference on streaming document collections. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 937\u2013946. ACM (2009)","DOI":"10.1145\/1557019.1557121"},{"issue":"1","key":"13_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/pan\/mpp034","volume":"18","author":"J Grimmer","year":"2010","unstructured":"Grimmer, J.: A Bayesian hierarchical topic model for political texts: measuring expressed agendas in senate press releases. Polit. Anal. 18(1), 1\u201335 (2010)","journal-title":"Polit. Anal."},{"key":"13_CR10","unstructured":"Schwartz, H.A., Eichstaedt, J.C., Dziurzynski, L., Kern, M.L., Blanco, E., Kosinski, M., Stillwell, D., Seligman, M.E., Ungar, L.H.: Toward personality insights from language exploration in social media. In: AAAI Spring Symposium: Analyzing Microtext (2013)"},{"key":"13_CR11","unstructured":"Teh, Y.W., Kurihara, K., Welling, M.: Collapsed variational inference for HDP. In: Advances in Neural Information Processing Systems, pp. 1481\u20131488 (2007)"},{"key":"13_CR12","unstructured":"Asuncion, A., Welling, M., Smyth, P., Teh, Y.W.: On smoothing and inference for topic models. In: Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, pp. 27\u201334. AUAI Press (2009)"},{"issue":"suppl 1","key":"13_CR13","doi-asserted-by":"publisher","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"TL Griffiths","year":"2004","unstructured":"Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proc. Nat. Acad. Sci. 101(suppl 1), 5228\u20135235 (2004)","journal-title":"Proc. Nat. Acad. Sci."},{"key":"13_CR14","unstructured":"Sontag, D., Roy, D.: Complexity of inference in latent Dirichlet allocation. In: Neural Information Processing System (NIPS) (2011)"},{"issue":"2","key":"13_CR15","doi-asserted-by":"publisher","first-page":"856","DOI":"10.1137\/130936361","volume":"25","author":"CD Dang","year":"2015","unstructured":"Dang, C.D., Lan, G.: Stochastic block mirror descent methods for nonsmooth and stochastic optimization. SIAM J. Optim. 25(2), 856\u2013881 (2015)","journal-title":"SIAM J. Optim."},{"key":"13_CR16","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s10107-014-0846-1","volume":"155","author":"S Ghadimi","year":"2016","unstructured":"Ghadimi, S., Lan, G., Zhang, H.: Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization. Math. Program. 155, 267\u2013305 (2016)","journal-title":"Math. Program."},{"key":"13_CR17","unstructured":"Dauphin, Y.N., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S., Bengio, Y.: Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. In: Advances in Neural Information Processing Systems, pp. 2933\u20132941 (2014)"},{"issue":"1","key":"13_CR18","first-page":"1303","volume":"14","author":"MD Hoffman","year":"2013","unstructured":"Hoffman, M.D., Blei, D.M., Wang, C., Paisley, J.W.: Stochastic variational inference. J. Mach. Learn. Res. 14(1), 1303\u20131347 (2013)","journal-title":"J. Mach. Learn. Res."},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Lau, J.H., Newman, D., Baldwin, T.: Machine reading tea leaves: automatically evaluating topic coherence and topic model quality. In: EACL, pp. 530\u2013539 (2014)","DOI":"10.3115\/v1\/E14-1056"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-75420-8_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T15:42:37Z","timestamp":1710344557000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-75420-8_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319754192","9783319754208"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-75420-8_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"14 February 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dong Hoi City","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 March 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 March 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2018\/index.php#about","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}