Variational Bayesian methods - PDFSEARCH.IO - Document Search Engine

Variational Bayesian methods
Results: 181

#	Item
31	2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSPAugust 29 – September 1, 2010, Kittilä, Finland IMAGE PRIOR COMBINATION IN SUPER-RESOLUTION IMAGE REGISTRATION & RECONSTRUCTION Sa Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2010-09-10 04:10:07 Probability distributions Statistical models Gamma distribution Variational Bayesian methods Bayesian network Normal distribution KullbackLeibler divergence
32	Markov Chain Monte Carlo and Variational Inference: Bridging the Gap Tim Salimans Algoritmica TIM @ ALGORITMICA . NL Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:47 Statistics Statistical theory Probability Markov models Computational statistics Bayesian statistics Monte Carlo methods Monte Carlo software Variational Bayesian methods Bayesian network Markov chain Gibbs sampling
33	1 Variational Bayesian Image Restoration with a Product of Spatially Weighted Total Variation Image Priors Giannis Chantas, Nikolaos Galatsanos, Rafael Molina, and Aggelos Katsaggelos Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2009-08-31 12:06:40 Statistics Statistical models Statistical theory Bayesian statistics Probability Bayesian network Networks Variational Bayesian methods
34	Astronomical Image Restoration Using Variational Methods and Model Combination Miguel Vega1,∗ Dept. de Lenguajes y Sistemas Inform´ aticos, Univ. de Granada, 18071 Granada, Spain Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2011-05-11 05:52:43 Statistical theory Statistics Bayesian statistics Probability Probability distributions Differential forms Gamma distribution Hyperprior Variational Bayesian methods Closed and exact differential forms Prior probability
35	Proceedings of 2010 IEEE 17th International Conference on Image Processing September 26-29, 2010, Hong Kong Using the Kullback-Leibler Divergence to Combine Image Priors in Super-Resolution Image Reconstruction Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2010-10-04 04:57:27 Probability distributions Bayesian statistics KullbackLeibler divergence Statistical theory Thermodynamics Gamma distribution Variational Bayesian methods Peak signal-to-noise ratio Bayesian network Sheaf
36	Exponential Stochastic Cellular Automata for Massively Parallel Inference Michael Wick Oracle Labs, Add to Reading List Source URL: manzil.ml Language: English - Date: 2016-01-03 02:26:50 Estimation theory Expectationmaximization algorithm Missing data Exponential family Latent Dirichlet allocation Symbol Variational Bayesian methods
37	Modeling Annotated Data David M. Blei Michael I. Jordan Division of Computer Science Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:52 Statistics Probability Artificial intelligence Statistical natural language processing Machine learning Statistical models Latent Dirichlet allocation Probability distributions Mixture model Expectationmaximization algorithm Variational Bayesian methods Automatic image annotation
38	Variational Inference with Normalizing Flows Danilo Jimenez Rezende Shakir Mohamed Google DeepMind, London Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:47 Statistics Probability Statistical models Graphical models Probability distributions Variational Bayesian methods Bayesian network Expectationmaximization algorithm Normal distribution Mixture model Exponential family Bayesian inference
39	Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-12-02 20:45:02 Statistics Mathematical analysis Statistical theory Stochastic optimization Computational statistics Estimation theory M-estimators Stochastic gradient descent Bias of an estimator Mathematical optimization Variational Bayesian methods Biasvariance tradeoff
40	Incremental Learning of Nonparametric Bayesian Mixture Models Ryan Gomes∗ Max Welling† ∗ Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-04-09 01:39:03 Cluster analysis Data analysis Estimation theory Expectation–maximization algorithm Dirichlet process Variational Bayesian methods Mixture model Principal component analysis Kernel principal component analysis Statistics Multivariate statistics Machine learning