Variational Inference Algorithm

Summary

In this video I will try to give the basic intuition of what VI is. The first and only online In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... ... community: patreon.com/artemkirsanov ===== In this video, we explore David Blei, Rajesh Ranganath, Shakir Mohamed. One of the core problems of modern statistics and machine learning is to ... VI attempts to find an optimal surrogate posterior by maximizing the Evidence Lower Bound (=ELBO). The surrogate posterior acts ... ... different parts of the theory behind VAEs: - Variational Autoencoders mbernste.github.io/posts/vae/ - We find a surrogate posterior by maximizing the Evidence Lower Bound (ELBO). With a proposal distribution, this can be solved ... When we can't calculate the true posterior distribution, we approximate it. This chapter covers pydata.org When Bayesian modeling scales up to large datasets, traditional MCMC methods can become impractical due to ... For more information about Stanford's Artificial Intelligence programs visit: stanford.io/ai To along with the course, ...