Publications

• B. Cseke and T. Heskes
  Properties of Bethe Free Energies and Message Passing in Gaussian Models
  Journal of Artificial Intelligence Research (to appear), 2011
• 
  B. Cseke and T. Heskes
  Approximate marginals in latent Gaussian models
  Journal of Machine Learning Research, vol. 12, 2011 (ext. of the paper below)
• 
  B. Cseke and T. Heskes
  Improving posterior marginal approximations in latent Gaussian models
  Proceedings of the 13th Conference on Artificial Intelligence and Statistics, 2010
• 
  M. van Gerven, B. Cseke, F. de Lange and T. Heskes
  Efficient Bayesian Multivariate fMRI Analysis using a Sparsifying Spatio-Temporal Prior
  Neuroimage, 2010
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  M. van Gerven, B. Cseke, R. Oostenveld and T. Heskes
  Bayesian Source Localization with the Multivariate Laplace Prior
  Advances in Neural Information Processing Systems 22, 2009
• 
  T. Heskes and B. Cseke
  Discussion of ``Approximate Bayesian inference for latent Gaussian models by using
  integrated nested Laplace approximations'' by H. Rue, S. Martino and N. Chopin
  Journal of the Royal Statistical Society Series B, 2009
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  E. Tsivtsivadze, B. Cseke and T. Heskes
  Kernel Principal Component Ranking: Robust Ranking on Noisy Data
  ECML/PKDD-Workshop on Preference Learning, 2009
• 
  B. Cseke and T. Heskes
  Bounds on the Bethe free energy for Gaussian networks
  Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, 2008