Exploring Austin Rochford Variational Inference In Python
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- Filmed at PyData London 2017 Description Recent improvements in Probabilistic Programming have led to a new method called ...
- www.pydata.org When Bayesian modeling scales up to large datasets, traditional MCMC methods can become impractical due to ...
- Speaker: Sayam Kumar Title: Demystifying
- Variational
- Nordic Probabilistic AI School (ProbAI) 2022 Materials: https://github.com/probabilisticai/probai-2022/
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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 ... In this video, we break down
This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check ...
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