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List of Publications

2003

Tractable Inference for Probabilistic Data Models

Csató, L., Opper, M. and Winther, O.

Complexity, 64-68. 2003

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2002

Data Assimilation with Sequential Gaussian Processes

Csató, L., Cornford, D. and Opper, M.

Uncertainty in geometrical computation, published by: Kluwer. Kluwer, 29-40. 2002

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Asymptotic Universality for Learning Curves of Support Vector Machines

Opper, M. and Urbanczik, R.

Advances in Neural Information Processing Systems 14. MIT Press, 479-486. 2002

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A Variational Approach to Learning Curves

Malzahn, D. and Opper, M.

Advances in Neural Information Processing Systems 14. MIT Press, 463-469. 2002

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TAP Gibbs Free Energy, Belief Propagation and Sparsity

Csató, L., Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 14. MIT Press, 657-663. 2002

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Drifting Games and Brownian Motion

Freund, Y. and Opper, M.

Journal of Computer and System Sciences, 113-132. 2002

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Sparse On-Line Gaussian Processes

Csató, L. and Opper, M.

Neural Computation, 641 - 668. 2002

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2001


Learning to Generalize

Opper, M.

Frontiers of Life. Academic Press, 763-775. 2001

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Adaptive TAP Equations

Opper, M. and Winther, O.

Advanced Mean Field Methods: Theory and Practice. MIT Press, 85-97. 2001

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From Naive Mean Field Theory to the TAP Equations

Opper, M. and Winther, O.

Advanced Mean Field Methods: Theory and Practice. MIT Press, 7-20. 2001

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Learning curves for Gaussian processes models: Fluctuations and Universality

Malzahn, D. and Opper, M.

Proceedings of the International Conference on Artificial Neural Networks 2001. Springer–Verlag, 271-276. 2001

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Online Learning of Wind-Field Models

Csató, L., Cornford, D. and Opper, M.

Proceedings of the International Conference on Artificial Neural Networks 2001. Springer–Verlag, 300-307. 2001

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Sparse Representation for Gaussian Process Models

Csató, L. and Opper, M.

Advances in Neural Information Processing Systems 13. MIT Press, 444-450. 2001

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