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Variational analysis
Results: 185

#	Item
11	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
12	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
13	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
14	Journal of Machine Learning Research–2213 Submitted; PublishedNoisy-OR Component Analysis and its Application to Link Analysis Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2006-10-16 22:09:03 Statistics Estimation theory Statistical models Bayesian statistics Statistical natural language processing Statistical theory Expectationmaximization algorithm Variational Bayesian methods Mixture model Exponential family Latent Dirichlet allocation Likelihood function
15	Probabilistic Graphical ModelsSubmitted 4/00; Publishedd-VMP: Distributed Variational Message Passing Add to Reading List Source URL: amidst.github.io Language: English - Date: 2016-08-19 06:41:17 Statistics Mathematical analysis Probability Probability distributions Estimation theory Variational message passing Statistical models Exponential family Gamma distribution Variational Bayesian methods Normal distribution Bayesian network
16	The Variational Cluster Approximation R. Eder Karlsruhe Institute of Technology, Institut f¨ur Festk¨orperphysik Add to Reading List Source URL: www.cond-mat.de Language: English - Date: 2013-09-26 12:50:05 Constructible universe Mathematics Generalised Whitehead product Mathematical analysis Differential forms on a Riemann surface
17	The variational hierarchical EM algorithm for clustering hidden Markov models Emanuele Coviello ECE Dept., UC San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Machine learning Statistics Markov models Artificial intelligence Estimation theory Expectationmaximization algorithm Missing data Hidden Markov model BaumWelch algorithm Forward algorithm Cluster analysis Mixture model
18	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.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:14 Statistics Statistical theory Estimation theory Expectationmaximization algorithm Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis Mixture model
19	A Note on Boundary Constraints for Linear Variational Surface Design Andrew Nealen TU Berlin Abstract This note presents a proof for the subspace property of linear variational methods for fair surface design. Specifical Add to Reading List Source URL: igl.ethz.ch Language: English - Date: 2011-02-07 08:46:08 Algebra Mathematics Matrices Linear algebra Algebraic graph theory Operator theory Functional analysis Laplacian matrix Matrix Linear subspace Collinearity
20	Big DataConference Program Monday, August 22 9:00-9:50am Yiling Chen, Harvard University Title: “Machine Learning with Strategic Data Sources” Add to Reading List Source URL: cmsa.fas.harvard.edu Language: English - Date: 2016-08-03 13:09:29 Statistics Statistical theory Bayesian statistics Bayesian inference Prior probability Robust Bayesian analysis Artificial neural network Deep learning Variational Bayesian methods Machine learning Naive Bayes classifier Bayesian network

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