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Introduction to Probabilistic Ml Lecture 24 Variational Inference
Recorded at PyData Berlin 2025, Learn how to scale Bayesian models to 50000 time ... In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... We find a surrogate posterior by maximizing the Evidence Lower Bound (ELBO). With a proposal distribution, this can be solved ... Details *** Sorry, this event has been postponed one week to June 6, 2023 *** Topic: We will finish our discussion of For more information about Stanford's Artificial Intelligence programs visit: To follow along with the course, ...
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Probabilistic ML — Lecture 24 — Variational Inference
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Last Updated: May 22, 2026
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