Parallel Stochastic Gradient Markov Chain Monte Carlo for Matrix Factorisation Models

The Theory of Dispersion Models

Jørgensen, B · 1997

Earlier work this paper cites.

Learning the parts of objects by non-negative matrix factorization

Lee, D. D. and Seung, H. S · 1999

Earlier work this paper cites.

Stochastic Approximation and Recursive Algorithms and Applications

Kushner, H. and Yin, G · 2003

Earlier work this paper cites.

Non-negative matrix factorization for polyphonic music transcription

Smaragdis, Paris and Brown, Judith C · 2003

Earlier work this paper cites.

Nonnegative matrix factorization: An analytical and interpretive tool in computational biology

Devarajan, Karthik · 2008

Earlier work this paper cites.

Bayesian probabilistic matrix factorization using markov chain monte carlo

Salakhutdinov, Ruslan and Mnih, Andriy · 2008

Earlier work this paper cites.

Bayesian inference in non-negative matrix factorisation models

Cemgil, A. T · 2009

Earlier work this paper cites.

Nonnegative Matrix and Tensor Factorization

Cichoki, A., Zdunek, R., Phan, A.H., and Amari, S · 2009

Earlier work this paper cites.

Nonnegative matrix factorization with the Itakura-Saito divergence. with application to music analysis

Févotte, C., Bertin, N., and Durrieu, J. L · 2009

Cited alongside, same era.

Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce

Liu, Chao, chih Yang, Hung, Fan, Jinliang, He, Li-Wei, and Wang, Yi-Min · 2010

Cited alongside, same era.

MCMC using Hamiltonian dynamics

Neal, Radford M · 2010

Cited alongside, same era.

Algorithms for nonnegative matrix factorization with the β \beta -divergence

Févotte, Cédric and Idier, Jérôme · 2011

Cited alongside, same era.

Large-scale matrix factorization with distributed stochastic gradient descent

Gemulla, Rainer, Nijkamp, Erik, Haas, Peter J., and Sismanis, Yannis · 2011

Cited alongside, same era.

Bayesian learning via stochastic gradient Langevin dynamics

Stochastic gradient Riemannian Langevin dynamics on the probability simplex

Patterson, S. and Teh, Y. W · 2013

Later among the works it cites.

Parallel stochastic gradient algorithms for large-scale matrix completion

Recht, Benjamin and Ré, Christopher · 2013

Later among the works it cites.

Stochastic gradient Hamiltonian Monte Carlo

Chen, T., Fox, E.B., and Guestrin, C · 2014

Later among the works it cites.

Bayesian sampling using stochastic gradient thermostats

Ding, Nan, Fang, Youhan, Babbush, Ryan, Chen, Changyou, Skeel, Robert D., and Neven, Hartmut · 2014

Later among the works it cites.

Distributed stochastic gradient mcmc

S. Ahn, B. Shahbaba and Welling, M · 2014

Later among the works it cites.

Approximation analysis of stochastic gradient langevin dynamics by using fokker-planck equation and ito process

Sato, Issei and Nakagawa, Hiroshi · 2014