Abstract
A general linear response method for deriving improved estimates of correlations in the variational Bayes framework is presented. Three applications are given and it is discussed how to use linear response as a general principle for improving mean field approximations.
| Original language | English |
|---|---|
| Title of host publication | Advances in Neural Information Processing Systems 16 (NIPS'2003) |
| Publication date | 2003 |
| Publication status | Published - 2003 |