Stochastic Variational Inference


The distinction between local and global variables will be important for us to develop online inference. In Bayesian statistics, for example, think of β as parameters with a prior and z1:n as hidden variables which are individual to each observation. In a Bayesian mixture of Gaussians the global variables β are the mixture components and mixture proportions; the local variables zi are the mixture assignments for each data point.

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@article{Hoffman2013StochasticVI, title={Stochastic Variational Inference}, author={Matthew D. Hoffman and David M. Blei and Chong Wang and John William Paisley}, journal={Journal of Machine Learning Research}, year={2013}, volume={14}, pages={1303-1347} }