Exploring Austin Rochford Variational Inference In Python
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- Variational
- www.pydata.org When Bayesian modeling scales up to large datasets, traditional MCMC methods can become impractical due to ...
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- Let's use TensorFlow Probability and NumPy to implement the surrogate posterior to the Normal with unknown mean and ...
- ... usual instead of covering any new reinforcement learning algorithms we're actually going to talk about
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PyData DC 2016 Jupyter notebook: https://nbviewer.jupyter.org/gist/AustinRochford/91cabfd2e1eecf9049774ce529ba4c16 ... Update: ETE is back for 2021! Get your tickets for $89 at https://2021.phillyemergingtech.com. In the last ten years, there have ... In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... Speaker: Sayam Kumar Title: Demystifying
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