@article{CsekeHeskesJAIR2010, author = {B. Cseke and T. Heskes}, title = {Properties of {B}ethe Free Energies and Message Passing in {G}aussian Models}, journal = {Journal of Artificial Intelligence Research}, year = {2011}, note = {to appear}, } @article{CsekeHeskesJMLR2010, author = {B. Cseke and T. Heskes}, title = {Approximate marginals in latent {G}aussian models}, journal = {Journal of Machine Learning Research}, year = {2011}, volume = {12}, pages={417--457} pdf = {http://jmlr.csail.mit.edu/papers/volume12/cseke11a/cseke11a.pdf} } @inproceedings{CsekeHeskes2010, author = {B. Cseke and T. Heskes}, title = {Improving posterior marginal approximations in latent Gaussian models}, booktitle = {Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics }, year = {2010}, editor = {Y. W. Teh and M. Titterington}, volume = {9}, pages = {121-128}, } @article{Gerven2010, author = {M. A. J. van Gerven and B. Cseke and F. de Lange and T. Heskes}, title = {Efficient Bayesian Multivariate fMRI Analysis using a Sparsifying Spatio-Temporal Prior}, journal = {Neuroimage }, year = {2010}, volume = {50}, number = {1}, pages = {150-161}, pdf = {http://osiris.cs.kun.nl/~marcelge/drafts/gerven10efficient.pdf}, } @conference{Gerven2009, author = {M. van Gerven and B. Cseke and R. Oostenveld and T. Heskes }, title = {Bayesian Source Localization with the Multivariate Laplace Prior}, booktitle = {Advances in Neural Information Processing Systems 22}, year = {2009}, editor = {Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta}, pages = {1901-1909}, } @article{Heskes2009, author = {Tom Heskes and Botond Cseke}, title = {Discussion of ``Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations'' by H. Rue, S. Martino and N. Chopin}, journal = {Journal of the Royal Statistical Society Series B}, year = {2009}, volume = {71}, pages = {370}, } @inproceedings{Tsivtsivadze2009, author = {E. Tsivtsivadze and B. Cseke and T. Heskes}, title = {Kernel Principal Component Ranking: Robust Ranking on Noisy Data}, booktitle = {ECML/PKDD-Workshop on Preference Learning (PL-09)}, year = {2009}, editor = {Eyke H{\"u}llermeier and Johannes F{\"u}rnkranz}, pages = {101-113}, } @inproceedings{Cseke2008, author = {Botond Cseke and Tom Heskes}, title = {Bounds on the Bethe free energy for Gaussian networks}, booktitle = {UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence}, year = {2008}, editor = {David A. McAllester and Petri Myllym{\"a}ki}, pages = {97-104}, publisher = {AUAI Press}, pdf = {http://uai2008.cs.helsinki.fi/UAI_camera_ready/cseke.pdf}, }