Theoretical Analysis of Bayesian Matrix Factorization

By Shinichi Nakajima, Masashi Sugiyama. 2011

76 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Sotirios P. Chatzis
2. Masashi Sugiyama
3. Ryota Tomioka
4. S. D. Babacan
5. Shinichi Nakajima
6. Stefano Ermon
7. Dacheng Tao
8. Bernhard Schölkopf

In Molecular Biology

1. Sotirios P. Chatzis
2. S. D. Babacan
3. Ryota Tomioka
4. Shinichi Nakajima
5. Masashi Sugiyama
6. Amos J. Storkey

Citations in the corpus

• Global analytic solution of fully-observed variational Bayesian matrix factorization (2013, methodology): “Since ξ3 = ξ1 = 0 (see Theorem 3) in this case, the quartic equation (23) can be solved as a quadratic equation with respect to γ̂2h (Nakajima and Sugiyama, 2011).”
• Nonparametric bayesian multitask collaborative filtering (2013, methodology): “Among all model-based CF methods, matrix factorization (MF)-based methods are perhaps the most popular ones in recent years [5, 29, 25, 22, 26, 27, 15].”