@inproceedings{SeegerN2011,
  title = {Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference },
  booktitle = {JMLR Workshop and Conference Proceedings Volume 15: AISTATS 2011},
  abstract = {We propose a novel algorithm to solve the expectation propagation relaxation of Bayesian inference for continuous-variable graphical models. In contrast to most previous algorithms, our method is provably convergent. By marrying convergent EP ideas from (Opper&Winther, 2005) with covariance decoupling techniques (Wipf&Nagarajan, 2008; Nickisch&Seeger, 2009), it runs at least an order of magnitude faster than the most common EP solver.
  },
  pages = {652-660},
  editors = {Gordon, G. , D. Dunson, M. Dudík },
  publisher = {MIT Press},
  address = {Cambridge, MA, USA},
  month = apr,
  year = {2011},
  slug = {seegern2011},
  author = {Seeger, M. and Nickisch, H.},
  month_numeric = {4}
}