Austin Rochford Variational Inference In Python

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 ... The equivalence between Stein variational gradient descent and black-box

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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 ...
• The equivalence between Stein variational gradient descent and black-box
• In real-world applications, the posterior over the latent variables Z given some data D is usually intractable.

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