Bayesian Nonnegative Matrix Factorization with Stochastic Variational Inference

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[1]  John Aitchison,et al.  The Statistical Analysis of Compositional Data , 1986 .

[2]  Shun-ichi Amari,et al.  Natural Gradient Works Efficiently in Learning , 1998, Neural Computation.

[3]  L. Eon Bottou Online Learning and Stochastic Approximations , 1998 .

[4]  H. Sebastian Seung,et al.  Learning the parts of objects by non-negative matrix factorization , 1999, Nature.

[5]  Léon Bottou,et al.  On-line learning and stochastic approximations , 1999 .

[6]  H. Sebastian Seung,et al.  Algorithms for Non-negative Matrix Factorization , 2000, NIPS.

[7]  Masa-aki Sato,et al.  Online Model Selection Based on the Variational Bayes , 2001, Neural Computation.

[8]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[9]  John F. Canny,et al.  GaP: a factor model for discrete data , 2004, SIGIR '04.

[10]  Michael I. Jordan,et al.  An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.

[11]  Amos Storkey,et al.  Advances in Neural Information Processing Systems 20 , 2007 .

[12]  Éric Gaussier,et al.  Relation between PLSA and NMF and implications , 2005, SIGIR '05.

[13]  Charles M. Bishop,et al.  Variational Message Passing , 2005, J. Mach. Learn. Res..

[14]  Pietro Perona,et al.  A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[15]  Michael I. Jordan,et al.  Hierarchical Dirichlet Processes , 2006 .

[16]  John D. Lafferty,et al.  A correlated topic model of Science , 2007, 0708.3601.

[17]  Geoffrey J. Gordon,et al.  A Unified View of Matrix Factorization Models , 2008, ECML/PKDD.

[18]  Ali Taylan Cemgil,et al.  Bayesian Inference for Nonnegative Matrix Factorisation Models , 2009, Comput. Intell. Neurosci..

[19]  Perry R. Cook,et al.  Bayesian Nonparametric Matrix Factorization for Recorded Music , 2010, ICML.

[20]  Francis R. Bach,et al.  Online Learning for Latent Dirichlet Allocation , 2010, NIPS.

[21]  Justin Grimmer,et al.  A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases , 2010, Political Analysis.

[22]  Guillermo Sapiro,et al.  Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..

[23]  Michael I. Jordan,et al.  THE ERA OF BIG DATA , 2011 .

[24]  D. Blei,et al.  The Discrete Innite Logistic Normal Distribution , 2011, 1103.4789.

[25]  Lawrence Carin,et al.  Variational Inference for Stick-Breaking Beta Process Priors , 2011, ICML.

[26]  Chong Wang,et al.  Online Variational Inference for the Hierarchical Dirichlet Process , 2011, AISTATS.

[27]  Chong Wang,et al.  Stochastic variational inference , 2012, J. Mach. Learn. Res..