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We extend Stochastic Gradient Variational Bayes to perform posterior inference for the weights of Stick-Breaking processes.
A Bayesian analysis of some nonparametric problems
Thomas S Ferguson · 1973
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A generalized probability density function for double-bounded random processes
Ponnambalam Kumaraswamy · 1980
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Jayaram Sethuraman · 1994
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Gibbs sampling methods for stick-breaking priors
Hemant Ishwaran and Lancelot F James · 2001
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Reducing the dimensionality of data with neural networks
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Nonparametric bayesian models through probit stick-breaking processes
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