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An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
Amar Shah
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Oznake: computer science;machine learning
Stochastic variational inference (SVI) is emerging as the most promising candidate for scaling inference in Bayesian probabilistic models to large datasets. However, the performance of these methods has been assessed primarily in the context of Bayesian topic models, particularly latent Dirichlet al ...
Leto: 2015 Vir: videolectures.net
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