Exploring The Challenges In Variational Inference Visualization
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- Recorded at PyData Berlin 2025, https://2025.pycon.de/program/BCGJQB/ Learn how to scale Bayesian models to 50000 time ...
- Paper 1: Efficient
- ... but just
- The equivalence between Stein variational gradient descent and black-box
- TITLE: MCMC vs.
In-Depth Information on The Challenges In Variational Inference Visualization
VI attempts to find an optimal surrogate posterior by maximizing the Evidence Lower Bound (=ELBO). The surrogate posterior acts ... In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... In this video, we break down David Blei, Columbia University Computational
David Blei, Rajesh Ranganath, Shakir Mohamed. One of the core problems of modern statistics and machine learning is to ...
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