
Natural gradient updates for Cholesky factor in Gaussian and structured variational inference
Stochastic gradient methods have enabled variational inference for high...
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Conditionally structured variational Gaussian approximation with importance weights
We develop flexible methods of deriving variational inference for models...
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Bayesian variational inference for exponential random graph models
Bayesian inference for exponential random graphs (ERGMs) is a doubly int...
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Model reparametrization for improving variational inference
In this article, we propose a strategy to improve variational Bayes infe...
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Efficient data augmentation techniques for Gaussian state space models
We propose a data augmentation scheme for improving the rate of converge...
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Gaussian variational approximation with sparse precision matrices
We consider the problem of learning a Gaussian variational approximation...
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Topicadjusted visibility metric for scientific articles
Measuring the impact of scientific articles is important for evaluating ...
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Linda S. L. Tan
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