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TU Berlin

Inhalt des Dokuments

Prof. Dr. Manfred Opper

Lupe
  • Leiter der Einheit KI
  • Raum: MAR 4.017
  • Telefon: +4930 314-73749
  • E-Mail: manfred.opper <AT> tu-berlin.de

 

 


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Publikationen

J

Maximal Stability in Unsupervised Learning

Andreas Mietzner and Manfred Opper and Wolfgang Kinzel

J. Phys. A, 2785–2797. 1995

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

Florian Stimberg and Manfred Opper and Andreas Ruttor

Proceedings of the International Conference on Artificial Intelligence and Statistics 2012

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Regret Bounds for Gaussian Process Bandit Problems

Steffen Grünewälder and Jean-Yves Audibert and Manfred Opper and John Shawe-Taylor

JMLR Workshop and Conference Proceedings, 273-280. 2010

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Drifting Games and Brownian Motion

Yoav Freund and Manfred Opper

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

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Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes

Christian Donner and Manfred Opper

Journal of Machine Learning Research, 1-34. 2018

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Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models

Manfred Opper and Ulrich Paquet and Ole Winther

Journal of Machine Learning Research, 2857-2898. 2013

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Expectation Consistent Approximate Inference

Manfred Opper and Ole Winther

Journal of Machine Learning Research, 2177 - 2204. 2005

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An Approximate Analytical Approach to Resampling Averages

Dörthe Malzahn and Manfred Opper

Journal of Machine Learning Research, 1151–1173. 2003

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Bayes-optimal performance in a discrete space

Mauro Copelli and Chris Van den Broeck and Manfred Opper

Journal of Physics A, L555. 1999

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Statistical Mechanics of Learning in the Presence of Outliers

Rainer Dietrich and Manfred Opper

Journal of Physics A, 9131-9147. 1998

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Expectation propagation for continuous time stochastic processes

Botond Cseke and David Schnoerr and Manfred Opper and Guido Sanguinetti

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

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A theory of solving TAP equations for Ising models with general invariant random matrices

Manfred Opper and Burak Cakmak and Ole Winther

Journal of Physics A: Mathematical and Theoretical, 114002. 2016

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A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems

Yuan Shen and Cédric Archambeau and Dan Cornford and Manfred Opper and John Shawe-Taylor and Remi Barillec

Journal of Signal Processing Systems 2009

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Approximate inference techniques with expectation constraints

Tom Heskes and Manfred Opper and Wim Wiegerinck and Ole Winther and Onno Zoeter

Journal of Statistical Mechanics (JSTAT) 2005

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Postadresse

TU Berlin
Fakultät IV
Elektrotechnik und Informatik
Sekr. MAR 4-2
Marchsstrasse 23
D-10587 Berlin