Variational Inference Simple Example Python Demo

Summary

PyData DC 2016 Jupyter notebook: nbviewer.jupyter.org/gist/AustinRochford/91cabfd2e1eecf9049774ce529ba4c16 ... Filmed at PyData London 2017 Description Recent improvements in Probabilistic Programming have led to a new method called ... In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... VI attempts to find an optimal surrogate posterior by maximizing the Evidence Lower Bound (=ELBO). The surrogate posterior acts ... Let's use TensorFlow Probability and NumPy to implement the surrogate posterior to the Normal with unknown mean and ... David Blei, Rajesh Ranganath, Shakir Mohamed. One of the core problems of modern statistics and machine learning is to ... Speaker: Sayam Kumar Title: Demystifying In this video I will try to give the This video is supporting material for the book ... 30 iterations with 20 samples per iteration. The normal/wishart samples are correlated following ... pydata.org When Bayesian modeling scales up to large datasets, traditional MCMC methods can become impractical due to ... Going through the derivation of