An oracle inequality for quasi-Bayesian nonnegative matrix factorization-Reference-Cited by-同舟云学术

An oracle inequality for quasi-Bayesian nonnegative matrix factorization

Published:2017-01 Issue:1 Volume:26 Page:55-67
ISSN:1066-5307
Container-title:Mathematical Methods of Statistics
language:en
Short-container-title:Math. Meth. Stat.

Author:

Alquier P.,Guedj B.

Publisher

Allerton Press

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.3103/S1066530717010045.pdf

Reference50 articles.

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2. P. Alquier, “Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study”, in Algorithmic Learning Theory 2013 (Springer, 2013), pp. 309–323.

3. P. Alquier, V. Cottet, N. Chopin, and J. Rousseau, Bayesian Matrix Completion: Prior Specification, Preprint arXiv:1406.1440 (2014).

4. P. Alquier, J. Ridgway, and N. Chopin, On the Properties of Variational Approximations of Gibbs Posteriors, J. Machine Learning Res., 17 (239), 1–41 (2016).

5. C. M. Bishop, Pattern Recognition and Machine Learning (Springer, 2006), Chapter10.

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