Publikationsliste

Z-Lernen auf diskreten Markov-Entscheidungs-Problemen mit zustandsabhängigen Aktionen

Bossert, T.

2013 TU Berlin

Efficient stochastic control with Kullback Leibler costs using kernel methods

Sokoloski, S.

2013 TU Berlin

Meta Learning in Recommendation Systems

Seiler, J.

2013 TU Berlin

Efficient Optimal Control for Multi-Agent Jump Processes

Schlegel, A.

2013 TU Berlin

Das variationale Dirichlet Prozess Mixture Modell

Batz, P.

2010 HU Berlin

Improving on Expectation Propagation

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

Advances in Neural Information Processing Systems 21. MIT Press. 2009

Approximate inference for stochastic reaction processes

Ruttor, A., Sanguinetti, G. and Opper, M.

Learning and Inference in Computational Systems Biology. The MIT Press, 189–205. 2009

Variational Markov Chain Monte Carlo for Inference in Partially Observed Nonlinear Diffusions

Shen, Y., Archambeau, C., Cornford, D. and Opper, M.

Proceedings of the Workshop Inference and Estimation in Probabilistic Time-Series Models, 67-78. 2008

Variational Inference for Diffusion Processes

Archambeau, C., Opper, M., Shen, Y., Cornford, D. and Shawe-Taylor, J.

Advances in Neural Information Processing Systems 20. MIT Press, 17–24. 2008

Variational inference for Markov jump processes

Opper, M. and Sanguinetti, G.

Advances in Neural Information Processing Systems 20. MIT Press, 1105–1112. 2008

An Approximate Inference Approach for the PCA Reconstruction Error

Opper, M.

Advances in Neural Information Processing Systems 18. MIT Press. 2006

Approximate Inference in Probabilistic Models

Opper, M. and Winther, O.

Algorithmic Learning Theory. Springer Verlag, 494–504.. 2004

The Complexity of Learning with Supportvector Machines - A Statistical Physics Study

Opper, M.

Adaptivity and Learning. Springer Verlag, 101-108. 2003

Statistical Mechanics of Generalization

Opper, M.

The Handbook of Brain Theory and Neural Networks, 2nd edition. MIT Press, 1087-1090. 2003

Advanced Mean Field Methods: Theory and Practice

||MIT Press. 2001