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Set up a Markov
Chain that samples from the existing
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model.
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The
samples can then be used to get a noisy
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estimate
of the last term in the derivative
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The
chain may need to run for a long
time before the
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fantasies
it produces have the correct distribution.
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For uni-gauss
experts we can set up a Markov chain by
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sampling the
hidden state of each expert.
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The
hidden state is whether it used the Gaussian or
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the
uniform.
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The
experts hidden states can be sampled in parallel
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This
is a big advantage of products of experts.
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