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Variational Bayesian methods
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#	Item
1	A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute for Biological Cy Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Computational neuroscience Statistics Neuroscience Statistical theory Neural networks Bioinformatics Artificial neural network Bayesian network Neural coding Variational Bayesian methods Bayesian inference Hidden Markov model
2	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Statistics Statistical theory Estimation theory Actuarial science Expectationmaximization algorithm Missing data Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis
3	That was fast! Speeding up NN search of high dimensional distributions. Emanuele Coviello University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093 Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:02:39 Statistics Geometry Statistical distance Information Statistical theory Information theory Bregman divergence Search algorithms KullbackLeibler divergence Variational Bayesian methods Expectationmaximization algorithm Divergence
4	Supplement for: A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute f Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Mathematical analysis Statistics Probability Probability distributions Variational Bayesian methods Normal distribution Exponentials Special functions Natural logarithm of 2 Exponential family
5	Technical supplement to “Consistent probabilistic outputs for protein function prediction” Guillaume Obozinski Department of Statistics UC Berkeley Berkeley, CA, USA Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:24 Statistics Statistical classification Statistical theory Regression analysis Estimation theory Actuarial science Belief propagation Naive Bayes classifier Logistic regression Exponential family Variational Bayesian methods KullbackLeibler divergence
6	A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:53 Statistics Probability Statistical natural language processing Probability distributions Estimation theory Regression analysis Dynamic topic model Latent Dirichlet allocation Variational Bayesian methods Mixture model Topic model Normal distribution
7	Variational Bayesian Learning of Cooperative Vector Quantizer Model - The Theory Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2003-05-06 15:46:12 Statistics Statistical models Bayesian network Latent variable Variational Bayesian methods Independent component analysis Expectationmaximization algorithm Generative model Principal component analysis Bayesian inference Normal distribution Mixture model
8	September 14, :56 WSPC - Proceedings Trim Size: 9.75in x 6.5in Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2009-12-21 01:53:45 Statistical theory Statistics Bayesian statistics Probability Statistical natural language processing Latent Dirichlet allocation Estimation theory Variational Bayesian methods Gibbs sampling Likelihood function Probability distributions
9	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt Columbia University, Data Science Institute, New York, USA SM 3976@ COLUMBIA . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-07-20 01:41:10 Statistics Mathematical analysis Statistical theory Estimation theory Bayesian statistics Stochastic optimization Probability theory Computational statistics Expectationmaximization algorithm Stochastic gradient descent OrnsteinUhlenbeck process Variational Bayesian methods
10	Supplementary appendix to “Learning to Extract International Relations from Political Context” (ACLBrendan O’Connor, Brandon Stewart, Noah A. Smith Contact: Web: http://brenocon.com/ireve Add to Reading List Source URL: brenocon.com Language: English - Date: 2013-05-16 00:42:45 Statistics Control theory Kalman filter Robot control Variational Bayesian methods Probability Table of stars with Bayer designations

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