PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Manfred Opper

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Number of EPrints submitted by this user: 11

Approximate Inference in Probabilistic Models
Manfred Opper and Ole Winther
In: Algorithmic Learning Theory Lecture Notes in Artificial Intelligence (3244). (2004) Springer , Berlin , pp. 494-504. ISBN 3-540-23356-3

Expectation Consistent Free Energies for Approximate Inference
Manfred Opper and Ole Winther
In: NIPS 2004, 14-16 Dec 2004, Vancouver.

Bayesian Analysis of the Scatterometer Wind Retrieval inverse Problem: Some new Approaches
Dan Cornford, Lehel Csato, David J Evans and Manfred Opper
Journal of the Royal Statistical Society B Volume 66, pp. 1-17, 2004.

Expectation Consistent Approximate Inference
Manfred Opper and Ole Winther
Journal of Machine Learning Research 2004.

A statistical physics approach for the analysis of machine learning algorithms on real data.
Manfred Opper and Manfred Opper
Journal of Statistical Mechanics 11001, 2005.

Approximate inference techniques with expectation constraints
Tom Heskes, Manfred Opper, Wim Wiegerinck, Ole Winther and Onno Zoeter
Journal of Statistical Mechanics 2005.

An approximate inference approach for the pca reconstruction error
Manfred Opper
Proceedings of NIPS2005 2005.

Expectation Consistent Approximate Inference
Manfred Opper and Ole Winther
Journal of Machine Learning Research 2005.

Gaussian Process Approximations of Stochastic Differential Equation
Cedric Archambeau, Dan Cornford, Manfred Opper and John Shawe-Taylor
Journal of Machine Learning Research: Workshop and Conference Volume 11, pp. 1-16, 2007.

Variational Inference for Diffusion Processes
Cedric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John Shawe-Taylor
Advances in Neural Information Processing Systems 2007 2007.

Variational inference for Markov jump processes
Manfred Opper and Guido Sanguinetti
Advances in Neural Information Processing Systems 2007 2008.