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Variational Bayesian methods
Results: 181

#	Item
81	Online Learning for Latent Dirichlet Allocation David M. Blei Department of Computer Science Princeton University Princeton, NJ Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Markov models Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Markov chain Topic model Statistics Machine learning Statistical natural language processing
82	Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical theory M-estimators Operations research Variational Bayesian methods Mathematical optimization Stochastic gradient descent Stochastic optimization Variance Bias of an estimator Statistics Probability theory Estimation theory
83	Black Box Variational Inference Rajesh Ranganath Sean Gerrish David M. Blei Princeton University, 35 Olden St., Princeton, NJ 08540 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian networks Variational Bayesian methods Variational message passing Operations research Gibbs sampling Normal distribution Mathematical optimization Score Stochastic optimization Statistics Estimation theory Bayesian statistics
84	Structured Stochastic Variational Inference Matthew D. Hoffman Adobe Research David M. Blei Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Estimation theory Variational Bayesian methods Kullback–Leibler divergence Markov chain Linear regression Regression analysis Latent Dirichlet allocation Statistics Econometrics Bayesian statistics
85	Variational Inference for the Nested Chinese Restaurant Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Variational Bayesian methods Statistical models Expectation–maximization algorithm Dirichlet process Gibbs sampling Mixture model Bayesian inference Exponential family Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
86	An Adaptive Learning Rate for Stochastic Variational Inference Rajesh Ranganath Princeton University, 35 Olden St., Princeton, NJ[removed]RAJESHR @ CS . PRINCETON . EDU Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Stochastic optimization Probability theory Stochastic approximation Mathematical optimization Bayesian inference Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Statistics Bayesian statistics Estimation theory
87	Sparse stochastic inference for latent Dirichlet allocation David Mimno [removed] Princeton U., Dept. of Computer Science, 35 Olden St., Princeton, NJ 08540, USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Gibbs sampling Dirichlet distribution Topic model Markov chain Monte Carlo Markov chain Statistics Statistical natural language processing Markov models
88	Stochastic Variational Inference for Hidden Markov Models arXiv:1411.1670v1 [stat.ML] 6 Nov[removed]Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-06 20:36:09 Markov models Expectation–maximization algorithm Missing data Statistical theory Hidden Markov model Variational Bayesian methods Markov chain Conjugate prior Kullback–Leibler divergence Statistics Bayesian statistics Estimation theory
89	Bayesian Nonparametric Poisson Factorization for Recommendation Systems Prem Gopalan Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Variational Bayesian methods Mixture model Poisson distribution Collaborative filtering Dirichlet process Bayesian inference Recommender system Gamma distribution Markov chain Statistics Bayesian statistics Expectation–maximization algorithm
90	Continuous Time Dynamic Topic Models Chong Wang Computer Science Dept. Princeton University Princeton, NJ 08540 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Statistical models Dynamic topic model Markov models Control theory Variational Bayesian methods Latent Dirichlet allocation Mixture model Topic model Probabilistic latent semantic analysis Statistics Statistical natural language processing Bayesian statistics

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