List of Publications

Replicator Dynamics

Opper, M. and Diederich, S.

Proceedings of the Europhysics Conference on Computational Physics CCP 1998. Elsevier Science, 141-144. 1999

Statistical Mechanics of Support Vector Networks

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

Phys. Rev. Lett., 2975-2978. 1999

Bayes-optimal performance in a discrete space

Copelli, M., Broeck, C. V. d. and Opper, M.

Journal of Physics A, L555. 1999

Imparare a Generalizzare (Learning to Generalize)

Opper, M.

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

Statistical Mechanics of SVMs

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

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

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

Continuous drifting games

Freund, Y. and Opper, M.

Proceedings of the Thirteenth Annual Conference on Computational Learning Theory. Morgan Kaufmann, 126-132. 2000

Efficient Approaches to Gaussian Process Classification

Csató, L., Fokou´e, E., Opper, M., Schottky, B. and Winther, O.

Advances in Neural Information Processing Systems 12. MIT Press, 251-257. 2000

On–line learning from a finite training set: A solvable model

Lopez, B. and Opper, M.

Europhys. Lett., 275-281. 2000

Gaussian Processes for Classification: Mean Field Algorithms

Opper, M. and Winther, O.

Neural Computation, 2655-2684. 2000

Advanced Mean Field Methods: Theory and Practice

||MIT Press. 2001

Learning to Generalize

Opper, M.

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

Adaptive TAP Equations

Opper, M. and Winther, O.

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

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

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