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 andrewjaffe.net
Kind of Bayesian - The Random Universe
| | cgad.ski
When Gradient Descent Is a Kernel Method
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| | easystats.github.io
Get Started with Bayesian Analysis bayestestR
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| | dustintran.com
On Model Mismatch and Bayesian Analysis | Dustin Tran
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| | One aspect I always enjoy about machine learning is that questions often go back to the basics. The field essentially goes into an existential crisis every dozen years-rethinking our tools and asking foundational questions such as "why neural networks" or "why generative models".1 This was a theme in my conversations during NIPS 2016 last week, where a frequent topic was on the advantages of a Bayesian perspective to machine learning. Not surprisingly, this appeared as a big discussion point during the p...
| | vxlabs.com
Variational Autoencoder in PyTorch, commented and annotated. - vxlabs
10.6 parsecs away

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| I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.