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Welling
Results: 145

#	Item
51	Asynchronous Distributed Learning of Topic Models Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine Irvine, CA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-09-17 01:00:41 Statistical natural language processing Latent Dirichlet allocation Linear discriminant analysis Parallel algorithm Multi-core processor Topic model Algorithm Perplexity Speedup Statistics Parallel computing Computing
52	Herding Dynamical Weights to Learn Max Welling Donald Bren School of Information and Computer Science, University of California Irvine, CA, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2009-05-06 23:20:19
53	The Time-Marginalized Coalescent Prior for Hierarchical Clustering Max Welling Department of Computer Science University of California, Irvine Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-09-21 04:40:57 Cluster analysis Markov models Bayesian statistics Coalescent theory Mixture model Dirichlet process Markov chain Prior probability Statistics Probability and statistics Probability
54	Statistical Tests for Optimization Efficiency Levi Boyles, Anoop Korattikara, Deva Ramanan, Max Welling Department of Computer Science University of California, Irvine Irvine, CA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2011-10-24 21:32:49
55	Exploiting the Statistics of Learning and Inference Max Welling Institute for Informatics University of Amsterdam Science Park 904, Amsterdam, Netherlands Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-04-19 07:05:08
56	Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures Ian Porteous and Arthur Asuncion and Max Welling Bren School of Information and Computer Science University of California Irvine Irvine, Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2010-04-12 18:35:26
57	Hybrid Variational/Gibbs Collapsed Inference in Topic Models Max Welling∗ Dept. Computer Science University of California Irvine Irvine, CA, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-05-14 13:35:04 Variational Bayesian methods Expectation–maximization algorithm Gibbs sampling Bayesian network Centimetre–gram–second system of units Belief propagation Bayesian inference Latent Dirichlet allocation Perplexity Statistics Bayesian statistics Graphical models
58	Deterministic Latent Variable Models and their Pitfalls Max Welling∗ Chaitanya Chemudugunta Nathan Sutter Bren School of Information and Computer Science University of California, Irvine Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-04-16 00:56:41 Information theory Statistical natural language processing Categorical data Probabilistic latent semantic analysis Expectation–maximization algorithm Perplexity Entropy Kullback–Leibler divergence Likelihood function Statistics Estimation theory Statistical theory
59	arXiv:1312.6114v9 [stat.ML] 10 AprAuto-Encoding Variational Bayes Max Welling Machine Learning Group Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-04-19 07:05:02 Statistical models Statistical inference Expectation–maximization algorithm Missing data Variational Bayesian methods Maximum likelihood Normal distribution Bayesian network Marginal likelihood Statistics Estimation theory Bayesian statistics
60	Scalable Inference on Kingman’s Coalescent using Pair Similarity Dilan G¨ or¨ ur, Levi Boyles and Max Welling Bren School of Information and Computer Science Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2011-12-30 11:01:17

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