Computational Bayesian Statistics Journal Club
Computational Bayesian Statistics Journal Club
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America/New_York
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Description
Date: Friday, 5 February, 11 am
Discussion Lead: Bob Carpenter [CCM]
Papers:
These papers both present approaches to variational inference based on optimization algorithms, so I thought we could talk about both of them together.
Discussion Lead: Bob Carpenter [CCM]
Papers:
- Duvenaud, Maclurin, and Adams. 2016. Early stopping as variational inference. http://proceedings.mlr.press/v51/duvenaud16.pdf
- Mandt, Hoffman, and Blei. 2017. Stochastic Gradient Descent as Approximate Bayesian Inference. https://www.jmlr.org/papers/volume18/17-214/17-214.pdf
These papers both present approaches to variational inference based on optimization algorithms, so I thought we could talk about both of them together.
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