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Variational Bayesian methods
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51	Collapsed Variational Dirichlet Process Mixture Models∗ Max Welling Kenichi Kurihara Dept. of Computer Science Dept. of Computer Science UC Irvine, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-07-24 13:22:36 Expectation–maximization algorithm Dirichlet process Mixture model Latent Dirichlet allocation Normal distribution Factorial Markov chain Central limit theorem Bayesian inference Statistics Bayesian statistics Variational Bayesian methods
52	Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane J. Hu1 , Laurens van der Maaten1,2 , Youngmin Cho1 , Lawrence K. Saul1 , Sorin Lerner1 1 Dept. of Computer Science & Engin Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-06-09 09:51:41 Mixture model Expectation–maximization algorithm Dirichlet process Bernoulli distribution Variational Bayesian methods Statistics Cluster analysis Machine learning
53	A Hierarchical Bayes based approach to ensemble-variational data assimilation M Tsyrulnikov and A Rakitko Motivation Add to Reading List Source URL: srnwp.met.hu Language: English - Date: 2014-10-27 11:08:29 Data analysis Monte Carlo methods Covariance and correlation Ensemble Kalman filter Covariance matrix Covariance Data assimilation Normal distribution Importance sampling Statistics Estimation theory Bayesian statistics
54	Copyright Cambridge University PressOn-screen viewing permitted. Printing not permitted. http://www.cambridge.orgYou can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/macka Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2004-09-18 13:29:32 Monte Carlo methods Markov chain Monte Carlo Statistical mechanics Bayesian inference Statistical inference Normal distribution Metropolis–Hastings algorithm Marginal likelihood Variational Bayesian methods Statistics Probability and statistics Bayesian statistics
55	Adaptive Training for Large Vocabulary Continuous Speech Recognition Kai Yu Hughes Hall College Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:23:54 Statistical models Estimation theory Bayesian statistics Hidden Markov model Speech recognition Expectation–maximization algorithm Bayesian network Variational Bayesian methods Mixture model Statistics Machine learning Markov models
56	Scalable Recommendation with Poisson Factorization Prem Gopalan Jake M. Hofman David M. Blei Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2013-11-25 11:00:49 Variational Bayesian methods Latent Dirichlet allocation Recommender system Poisson distribution Non-negative matrix factorization Expectation–maximization algorithm Collaborative filtering Exponential family Statistics Bayesian statistics Multivariate statistics
57	A Bayesian approach to network modularity • Generative model: die rolling for module assignments, coin-flipping for edges • Inference: variational Bayes for approximations to posteriors + complexity control • Stoch Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2009-01-22 17:20:55 Logic Network theory Modularity Conference on Neural Information Processing Systems Inference Variational Bayesian methods Bayesian statistics Knowledge Science
58	Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Department of Computer Science University of Toronto Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-03-25 03:56:45 Markov models Computational statistics Statistical theory Variational Bayesian methods Hyperparameter Bayesian inference Markov chain Monte Carlo Surrogate model Estimation theory Statistics Bayesian statistics Statistical inference
59	PHYSICAL REVIEW LETTERS PRL 100, week ending 27 JUNE 2008 Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2008-12-17 23:22:46 Mathematical analysis Network theory Algebraic graph theory Modularity Variational Bayesian methods Expectation–maximization algorithm D-module Module Conjugate prior Statistics Mathematics Bayesian statistics
60	A Variational Approximation for Topic Modeling of Hierarchical Corpora Do-kyum Kim Geoffrey M. Voelker Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-03-20 12:49:52 Statistical models Latent Dirichlet allocation Variational Bayesian methods Graphical models Topic model Expectation–maximization algorithm Mixture model Dirichlet process Dirichlet distribution Statistics Statistical natural language processing Bayesian statistics