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List of Publications

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2001

Learning Curves for Gaussian processes regression: A framework for good approximations [21]

Malzahn, D. and Opper, M.

Advances in Neural Information Processing Systems 13. MIT Press, 273-279. 2001

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

Tractable approximations for probabilistic models: The adaptive TAP mean field approach [24]

Opper, M. and Winther, O.

Phys. Rev. Lett., 3695-3699. 2001

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

Adaptive and Selfaveraging TAP Mean Field Theory [27]

Opper, M. and Winther, O.

Physical Review E, 056131. 2001

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

Universal learning curves of support vector machines [30]

Opper, M. and Urbanczik, R.

Phys. Rev. Lett., 4410-4413. 2001

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

Probabilistic data modelling with adaptive TAP mean field theory [33]

Opper, M. and Winther, O.

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 119-125. 2001

Link to publication [34] Download Bibtex entry [35]

Support Vector machines learning noisy polynomial rules [36]

Opper, M. and Urbanczik, R.

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 110-118. 2001

Link to publication [37] Download Bibtex entry [38]

Retarded Learning: Rigorous Results from Statistical Mechanics [39]

Herschkowitz, D. and Opper, M.

Phys. Rev. Lett., 2174-2177. 2001

Link to publication [40] Download Bibtex entry [41]

2000

Imparare a Generalizzare (Learning to Generalize) [42]

Opper, M.

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

Download Bibtex entry [43]

Statistical Mechanics of SVMs [44]

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

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

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

Gaussian Processes and SVM: Mean Field Results and Leave-One-Out [47]

Opper, M. and Winther, O.

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

Download Bibtex entry [48]

Continuous drifting games [49]

Freund, Y. and Opper, M.

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

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

Efficient Approaches to Gaussian Process Classification [52]

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

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

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

On–line learning from a finite training set: A solvable model [55]

Lopez, B. and Opper, M.

Europhys. Lett., 275-281. 2000

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

Gaussian Processes for Classification: Mean Field Algorithms [58]

Opper, M. and Winther, O.

Neural Computation, 2655-2684. 2000

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

1999

Worst Case Prediction over Sequences under Log Loss [61]

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 [62] Download Bibtex entry [63]

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