Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns

11 March 2019

Papers citing "Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns"

7 / 7 papers shown

Title
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan Oseledets Masashi Sugiyama Danilo P. Mandic 48 297 0 30 Aug 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 59 204 0 09 May 2017
Introduction to Nonnegative Matrix Factorization Nicolas Gillis 45 46 0 02 Mar 2017
Sparse Partially Collapsed MCMC for Parallel Inference in Topic Models Maans Magnusson Leif Jonsson M. Villani David Broman 45 17 0 11 Jun 2015
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman D. Geiger D. M. Chickering TPM 96 3,980 0 27 Feb 2013
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 253 1,142 0 29 Oct 2012
Algorithms for nonnegative matrix factorization with the beta-divergence Cédric Févotte Jérôme Idier 81 802 0 08 Oct 2010