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Add tutorial on Dirichlet Process Mixture Models #880
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- Reacted by Vincent Chen
it's easy enough to write a dirichlet-multinomial mixture model (what y'all have been calling dirichlet process, though that terminology is usually reserved for the infinite version), and pretty easy to write the DP in either stick breaking or CRP form. (see, eg, corresponding code in webppl.) however, getting VI to work for mixture models is not entirely straightforward and for infinite models it's still an open problem as far as i know.
i have a few ideas, and i think this is a great thing to work on, but having a tutorial in 0.2.1 might be overly optimistic? i may be misinterpreting the scope of what y'all are proposing though!
- Noah, weren't you working with an MIT student on that topic (svi for dpp) ? Any updates on how this is going?…On Mar 12, 2018 7:45 AM, "ngoodman" ***@***.***> wrote: it's easy enough to write a dirichlet-multinomial mixture model (what y'all have been calling dirichlet process, though that terminology is usually reserved for the infinite version), and pretty easy to write the DP in either stick breaking or CRP form. (see, eg, corresponding code in webppl.) however, getting VI to work for mixture models is not entirely straightforward and for infinite models it's still an open problem as far as i know. i have a few ideas, and i think this is a great thing to work on, but having a tutorial in 0.2.1 might be overly optimistic? i may be misinterpreting the scope of what y'all are proposing though! — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#880 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ABVhL1a2fPIRPqHW-8HQb-7kFHcmpZwoks5tdooQgaJpZM4Sl0xZ> .
hi, any plans on logistic mixture model?
See https://forum.pyro.ai/t/variational-inference-for-dirichlet-process-clustering/98 for extended discussion .
It would be nice to make this work with data subsampling.