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List of Publications

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1997

Regression with Gaussian Processes: Average Case Performance [21]

Opper, M.

Hong Kong International Workshop on Theoretical Aspects of Neural Computation: A Multi-disciplinary Perspective (TANC 97). World Scientific. 1997

Link to publication [22] Download Bibtex entry [23]

Metric Entropy and Minimax Risk in Classification [24]

Haussler, D. and Opper, M.

Lecture Notes in Computer Science: Studies in Logic and Computer Science, Vol. 1261. Springer, 212-235. 1997

Link to publication [25] Download Bibtex entry [26]

A mean field algorithm for Bayes learning in large feedforward neural networks [27]

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 9. MIT Press, 225-231. 1997

Link to publication [28] Download Bibtex entry [29]

Dynamics of Training [30]

Bös, S. and Opper, M.

Advances in Neural Information Processing Systems 9. MIT Press, 141-147. 1997

Link to publication [31] Download Bibtex entry [32]

Mutual Information, Metric Entropy, and Risk in Estimation of Probability Distributions [33]

Haussler, D. and Opper, M.

Annals of Statistics, 2451–2492. 1997

Download Bibtex entry [34]

Convexity, Internal Representations and the Statistical Mechanics of Neural Networks [35]

Opper, M., Mietzner, A. and Kuhlmann, P.

Europhys. Lett., 31-36. 1997

Link to publication [36] Download Bibtex entry [37]

1998

On the Annealed VC Entropy for Margin Classifiers: A Statistical Mechanics Study [38]

Opper, M.

Advances in Kernel Methods. MIT Press, 117-126. 1998

Link to publication [39] Download Bibtex entry [40]

A Bayesian Approach to Online Learning [41]

Opper, M.

Online Learning in Neural Networks. Cambridge University Press, 363-378. 1998

Link to publication [42] Download Bibtex entry [43]

Statistical Mechanics of Learning in the Presence of Outliers [44]

Dietrich, R. and Opper, M.

Journal of Physics A, 9131-9147. 1998

Link to publication [45] Download Bibtex entry [46]

An Exact Description of Early Stopping and Weight Decay [47]

Bös, S. and Opper, M.

J. Phys. A, 4835. 1998

Download Bibtex entry [48]

Online versus Offline Learning [49]

Opper, M.

Phil. Mag. B, 1531-1537. 1998

Link to publication [50] Download Bibtex entry [51]

1999

Worst Case Prediction over Sequences under Log Loss [52]

Opper, M. and Haussler, D.

The IMA Volumes in Mathematics and Its Applications, Volume 107: The Mathematics of Information Coding, Extraction & Distribution. Springer Verlag, 81-90. 1999

Link to publication [53] Download Bibtex entry [54]

General Bounds on Bayes errors for regression with Gaussian processes [55]

Opper, M. and Vivarelli, F.

Advances in Neural Information Processing Systems 11. MIT Press, 302-308. 1999

Link to publication [56] Download Bibtex entry [57]

Mean field methods for classification with Gaussian processes [58]

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 11. MIT Press, 309-315. 1999

Link to publication [59] Download Bibtex entry [60]

Finite Dimensional Approximation of Gaussian Processes [61]

Trecate, G. F., Williams, C. K. and Opper, M.

Advances in Neural Information Processing Systems 11. MIT Press, 218-224. 1999

Link to publication [62] Download Bibtex entry [63]
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