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Publikationsliste






Improving on Expectation Propagation

Opper, M., Paquet, U. and Winther, O.

Advances in Neural Information Processing Systems 21. MIT Press. 2009

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Approximate inference for stochastic reaction processes

Ruttor, A., Sanguinetti, G. and Opper, M.

Learning and Inference in Computational Systems Biology. The MIT Press, 189–205. 2009

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Variational Markov Chain Monte Carlo for Inference in Partially Observed Nonlinear Diffusions

Shen, Y., Archambeau, C., Cornford, D. and Opper, M.

Proceedings of the Workshop Inference and Estimation in Probabilistic Time-Series Models, 67-78. 2008

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Variational Inference for Diffusion Processes

Archambeau, C., Opper, M., Shen, Y., Cornford, D. and Shawe-Taylor, J.

Advances in Neural Information Processing Systems 20. MIT Press, 17–24. 2008

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Variational inference for Markov jump processes

Opper, M. and Sanguinetti, G.

Advances in Neural Information Processing Systems 20. MIT Press, 1105–1112. 2008

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An Approximate Inference Approach for the PCA Reconstruction Error

Opper, M.

Advances in Neural Information Processing Systems 18. MIT Press. 2006

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Approximate Inference in Probabilistic Models

Opper, M. and Winther, O.

Algorithmic Learning Theory. Springer Verlag, 494–504.. 2004

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Statistical Mechanics of Generalization

Opper, M.

The Handbook of Brain Theory and Neural Networks, 2nd edition. MIT Press, 1087-1090. 2003

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