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39
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ICML
2009
IEEE
188
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Machine Learning
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ICML 2009
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Convex variational Bayesian inference for large scale generalized linear models
14 years 11 months ago
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www.kyb.tuebingen.mpg.de
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
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