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J

An Exact Description of Early Stopping and Weight Decay [21]

Bös, S. and Opper, M.

J. Phys. A, 4835. 1998

Download Bibtex entry [22]

Selection of examples for the linear classifier [23]

Jung, G. and Opper, M.

J. Phys. A, 1367-1380. 1996

Link to publication [24] Download Bibtex entry [25]

Maximal Stability in Unsupervised Learning [26]

Mietzner, A., Opper, M. and Kinzel, W.

J. Phys. A, 2785–2797. 1995

Download Bibtex entry [27]

Synchronization of random walks with reflecting boundaries [28]

Ruttor, A., Reents, G. and Kinzel, W.

J. Phys. A: Math. Gen., 8609-8618. 2004

Link to publication [29] Download Bibtex entry [30]

Neural cryptography with queries [31]

Ruttor, A., Kinzel, W. and Kanter, I.

J. Stat. Mech., P01009. 2005

Link to publication [32] Download Bibtex entry [33]

Bayesian Inference for Change Points in Dynamical Systems with Reusable States—a Chinese Restaurant Process Approach [34]

Stimberg, F., Opper, M. and Ruttor, A.

Proceedings of the International Conference on Artificial Intelligence and Statistics 2012

Link to publication [35] Download Bibtex entry [36]

Regret Bounds for Gaussian Process Bandit Problems [37]

Grünewälder, S., Audibert, J.-Y., Opper, M. and Shawe-Taylor, J.

JMLR Workshop and Conference Proceedings, 273-280. 2010

Download Bibtex entry [38]

Drifting Games and Brownian Motion [39]

Freund, Y. and Opper, M.

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

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

Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes [42]

Donner, C. and Opper, M.

Journal of Machine Learning Research, 1-34. 2018

Link to publication [43] Download Bibtex entry [44]

Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models [45]

Opper, M., Paquet, U. and Winther, O.

Journal of Machine Learning Research, 2857-2898. 2013

Link to publication [46] Download Bibtex entry [47]

Expectation Consistent Approximate Inference [48]

Opper, M. and Winther, O.

Journal of Machine Learning Research, 2177 - 2204. 2005

Link to publication [49] Download Bibtex entry [50]

An Approximate Analytical Approach to Resampling Averages [51]

Malzahn, D. and Opper, M.

Journal of Machine Learning Research, 1151–1173. 2003

Link to publication [52] Download Bibtex entry [53]

Bayes-optimal performance in a discrete space [54]

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

Journal of Physics A, L555. 1999

Link to publication [55] Download Bibtex entry [56]

Statistical Mechanics of Learning in the Presence of Outliers [57]

Dietrich, R. and Opper, M.

Journal of Physics A, 9131-9147. 1998

Link to publication [58] Download Bibtex entry [59]

Expectation propagation for continuous time stochastic processes [60]

Cseke, B., Schnoerr, D., Opper, M. and Sanguinetti, G.

Journal of Physics A: Mathematical and Theoretical. IOPscience, 494002. 2016

Link to publication [61] Download Bibtex entry [62]

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[17] https://www.ki.tu-berlin.de/menue/publications/par
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[18] https://www.ki.tu-berlin.de/menue/publications/par
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[19] https://www.ki.tu-berlin.de/menue/publications/par
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[20] https://www.ki.tu-berlin.de/menue/publications/par
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[21] https://www.ki.tu-berlin.de/menue/publications/par
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[22] https://www.ki.tu-berlin.de/menue/publications/par
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[29] https://www.ki.tu-berlin.de//fileadmin/fg135/publi
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An Exact Description of Early Stopping and Weight Decay [21]

Selection of examples for the linear classifier [23]

Maximal Stability in Unsupervised Learning [26]

Synchronization of random walks with reflecting boundaries [28]

Neural cryptography with queries [31]

Bayesian Inference for Change Points in Dynamical Systems with Reusable States—a Chinese Restaurant Process Approach [34]

Regret Bounds for Gaussian Process Bandit Problems [37]

Drifting Games and Brownian Motion [39]

Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes [42]

Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models [45]

Expectation Consistent Approximate Inference [48]

An Approximate Analytical Approach to Resampling Averages [51]

Bayes-optimal performance in a discrete space [54]

Statistical Mechanics of Learning in the Presence of Outliers [57]

Expectation propagation for continuous time stochastic processes [60]

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Kontakt, Inhaltsverzeichnis und weitere Service-Links

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Haupt-Navigation

Page Content

List of Publications

J

An Exact Description of Early Stopping and Weight Decay [21]

Selection of examples for the linear classifier [23]

Maximal Stability in Unsupervised Learning [26]

Synchronization of random walks with reflecting boundaries [28]

Neural cryptography with queries [31]

Bayesian Inference for Change Points in Dynamical Systems with Reusable States—a Chinese Restaurant Process Approach [34]

Regret Bounds for Gaussian Process Bandit Problems [37]

Drifting Games and Brownian Motion [39]

Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes [42]

Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models [45]

Expectation Consistent Approximate Inference [48]

An Approximate Analytical Approach to Resampling Averages [51]

Bayes-optimal performance in a discrete space [54]

Statistical Mechanics of Learning in the Presence of Outliers [57]

Expectation propagation for continuous time stochastic processes [60]

Zusatzinformationen / Extras

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