[Topic-models] LDA paper by Blei - some more questions
blei at CS.Princeton.EDU
Wed Nov 19 08:44:15 EST 2008
in the E-step, optimize variational parameters for each document and
compute expected sufficient statistics under the resulting variational
distributions. this step depends on a setting of the model
parameters, i.e., the dirichlet hyperparameters and topic
distributions. in the M-step, optimize those model parameters
according to those expected sufficient statistics. repeat until the
bound on the log likelihood of the data converges.
On Nov 14, 2008, at 4:45 PM, Mateusz Berezecki wrote:
> So the first step of the algorithm explicitly relies on the inference
> phase being completed as the variational parameters are valid
> (optimized) only after inference phase (?).
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