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 ...
- PyData New York City 2017 Slides: http://austinrochford.com/resources/talks/nba-fouls-pydata-nyc-2017.slides.html#/ Since 2015, ...
- Variational
- www.pydata.org When Bayesian modeling scales up to large datasets, traditional MCMC methods can become impractical due to ...
- Let's use TensorFlow Probability and NumPy to implement the surrogate posterior to the Normal with unknown mean and ...
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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
PyData London 2018 This tutorial aims to introduce key theory and methods in
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