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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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Imparare a Generalizzare (Learning to Generalize)

Opper, M.

Frontiere della Biologia. Istituto della Enciclopedia Italiana Treccani, 717-729. 2000

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Statistical Mechanics of SVMs

Dietrich, R., Opper, M. and Sompolinsky, H.

Advances in Large Margin Classifiers. MIT Press, 359-367. 2000

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Gaussian Processes and SVM: Mean Field Results and Leave-One-Out

Opper, M. and Winther, O.

Advances in Large Margin Classifiers. MIT Press, 311–326. 2000

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Worst Case Prediction over Sequences under Log Loss

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

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A Bayesian Approach to Online Learning

Opper, M.

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

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Regression with Gaussian Processes: Average Case Performance

Opper, M.

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

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Metric Entropy and Minimax Risk in Classification

Haussler, D. and Opper, M.

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

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Physics of Generalization

Opper, M. and Kinzel, W.

Physics of Neural Networks III. by Springer Verlag, 151–209. 1996

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Mutual Information and Bayes Methods for Learning a Distribution

Haussler, D. and Opper, M.

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 42–50. 1995

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General Bounds for Predictive Errors in Supervised Learning

Opper, M. and Haussler, D.

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 51-58. 1995

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Perceptron Learning: The Largest Version Space

Biehl, M. and Opper, M.

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 59-72. 1995

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