Exploring Machine Learning Variational Inference
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- We find a surrogate posterior by maximizing the Evidence Lower Bound (ELBO). With a proposal distribution, this can be solved ...
- Recorded at PyData Berlin 2025, https://2025.pycon.de/program/BCGJQB/ Learn how to scale Bayesian models to 50000 time ...
- David Blei, Rajesh Ranganath, Shakir Mohamed. One of the core problems of modern statistics and
- For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai To follow along with the course, ...
- This is the twentyfourth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig, updated for the Summer Term 2021 at the ...
In-Depth Information on Machine Learning Variational Inference
In this video, we break down In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... Inference of probabilistic models using In this video I will try to give the basic intuition of what VI is. The first and only online
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