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Perturbative Black Box Corrected Variational Inference

Bamler R., C. Z. O. M. M. S.

Advances in Neural Information Processing Systems 30. IEEE, 11. 2017

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Efficient Bayesian Inference for a Gaussian Process Density Model

Donner, C. and Opper, M.

Proceedings of UAI 2018. AUAI Press, 53-62. 2018

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Expectation Propagation for Approximate Inference: Free Probability Framework

Cakmak, B. and Opper, M.

Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 1276-1280. 2018

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Approximate inference in latent Gaussian-Markov models from continuous time observations

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

Advances in Neural Information Processing Systems, 971–979. 2013

Link to publication Download Bibtex entry
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