133 citations · 499 across the 17 of their papers we have counts for
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stat.ML2015★ 39 cited
Stochastic gradient variational Bayes for gamma approximating distributions
David A. Knowles
While stochastic variational inference is relatively well known for scaling inference in Bayesian probabilistic models, related methods also offer ways to circumnavigate the approx…
stat.ML2015★ 2 cited
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process
Amar Shah, David A. Knowles, Zoubin Ghahramani
Stochastic variational inference (SVI) is emerging as the most promising candidate for scaling inference in Bayesian probabilistic models to large datasets. However, the performanc…