Re: [AIRG] Variational Inference 03/27

[Aubrey Barnard <barnard@xxxxxxxxxxx>]

AIRG,

I would like to remind you that this afternoon David Merrell will be 
giving an overview of variational inference, a core category of 
approximate inference. Variational inference is often more efficient and 
more scalable than MCMC, making it essential for tackling large 
problems. This introduction from two of the biggest names in the field 
can only serve to increase your knowledge and understanding of this 
complex (and therefore often underappreciated) topic.

4pm, CS *3310*
https://doi.org/10.1080/01621459.2017.1285773
http://www.cs.columbia.edu/~blei/fogm/2018F/materials/BleiKucukelbirMcAuliffe2017.pdf

Aubrey


On 3/25/19 9:44 AM, DAVID MERRELL wrote:
> Hi AIRG,
> 
> In this week's AIRG, I'll lead a discussion about this 2017 paper by 
> David Blei et al:
> 
> "*Variational Inference: A Review for Statisticians*"
> https://doi.org/10.1080/01621459.2017.1285773
> 
> You don't need to be a statistician to enjoy this paper!
> Variational inference reformulates Bayesian inference as an optimization 
> problem.
> It's gained widespread use in the world of Bayesian computing and 
> probabilistic programming.
> It's definitely worth your while to know something about this!
> 
> See you there at *4:00pm Wednesday, 4310 CS.*
> David Merrell
> 
> _______________________________________________
> AIRG mailing list
> AIRG@xxxxxxxxxxx
> https://lists.cs.wisc.edu/mailman/listinfo/airg
>