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Gibbs sampling
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#	Item
41	Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2014-01-10 12:37:27 Statistics Probability Statistical natural language processing Probability distributions Latent Dirichlet allocation Topic model Mixture model Dirichlet distribution Normal distribution Gibbs sampling Statistical inference
42	Stat 542 Homework 3 - Due Thursday, April 7th (12 pm) You are required to submit a hard copy pdf document in class with answers to the following questions. This document must be generated using the LaTeX typesetting lang Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-03-21 16:55:20 Statistics Statistical theory Probability Probability distributions Bayesian statistics Summary statistics Gibbs sampling Markov chain Monte Carlo Normal distribution Mode Prior probability
43	Gibbs Sampling for Logistic Normal Topic Models with Graph-Based Priors David Mimno, Hanna M. Wallach, Andrew McCallum Department of Computer Science University of Massachusetts Add to Reading List Source URL: dirichlet.net Language: English - Date: 2014-10-13 11:25:00
44	arXiv:1301.4168v2 [cs.LG] 16 MarHerded Gibbs Sampling Luke Bornn Harvard University Add to Reading List Source URL: www.cantab.net Language: English - Date: 2016-03-21 20:02:16
45	Gaussian LDA for Topic Models with Word Embeddings Rajarshi Das* , Manzil Zaheer* , Chris Dyer School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA {rajarshd, manzilz, cdyer} @cs.cmu.edu Add to Reading List Source URL: manzil.ml Language: English - Date: 2016-01-03 02:26:26 Statistics Statistical natural language processing Machine learning Probability Latent Dirichlet allocation Topic model Latent semantic analysis Word2vec Semantic similarity Vector space model Word embedding Gibbs sampling
46	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
47	Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph E. Gonzalez Carnegie Mellon University Add to Reading List Source URL: select.cs.cmu.edu Language: English Graphical models Markov models Probability theory Ergodic theory Stochastic processes Gibbs sampling Markov chain Ergodicity Hidden Markov model Mixing Graph coloring Markov random field
48	Generative probabilistic models extend the scope of inferential structure determination Add to Reading List Source URL: people.binf.ku.dk Language: English - Date: 2012-01-24 06:25:17 Statistics Statistical theory Protein methods Protein structure Bioinformatics Markov chain Monte Carlo Gibbs sampling Root-mean-square deviation Monte Carlo method Bayesian inference Structure validation Global optimization
49	Closed-form Gibbs Sampling for Graphical Models with Algebraic Constraints Hadi Mohasel Afshar Christfried Webers Scott Sanner Add to Reading List Source URL: www.web-port.net Language: English - Date: 2016-02-22 01:27:18
50	Learning Conditional Latent Structures from Multiple Data Sources Viet Huynh1(B) , Dinh Phung1 , Long Nguyen2 , Svetha Venkatesh1 , and Hung H. Bui3 1 Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2015-05-04 22:34:06 Statistics Probability Statistical natural language processing Probability distributions Stochastic processes Machine learning Statistical models Latent Dirichlet allocation Dirichlet process Dirichlet distribution Mixture model Gibbs sampling