Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study

Pierre Alquier. Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study. In Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann, editors, Algorithmic Learning Theory - 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings. Volume 8139 of Lecture Notes in Computer Science, pages 309-323, Springer, 2013. [doi]

@inproceedings{Alquier13,
  title = {Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study},
  author = {Pierre Alquier},
  year = {2013},
  doi = {10.1007/978-3-642-40935-6_22},
  url = {http://dx.doi.org/10.1007/978-3-642-40935-6_22},
  researchr = {https://researchr.org/publication/Alquier13},
  cites = {0},
  citedby = {0},
  pages = {309-323},
  booktitle = {Algorithmic Learning Theory - 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings},
  editor = {Sanjay Jain and Rémi Munos and Frank Stephan and Thomas Zeugmann},
  volume = {8139},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-40934-9},
}