Exploring Advanced Probabilistic Machine Learning Variational Inference
Let's dive into the details surrounding Advanced Probabilistic Machine Learning Variational Inference.
- We find a surrogate posterior by maximizing the Evidence Lower Bound (ELBO). With a proposal distribution, this can be solved ...
- This is Lecture 23 of the course on
- 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
In-Depth Information on Advanced Probabilistic Machine Learning Variational Inference
Details *** Sorry, this event has been postponed one week to June 6, 2023 *** Topic: We will finish our discussion of Recorded at PyData Berlin 2025, https://2025.pycon.de/program/BCGJQB/ Learn how to scale Bayesian models to 50000 time ... In this video, we break down ... what's known as stochastic
VI attempts to find an optimal surrogate posterior by maximizing the Evidence Lower Bound (=ELBO). The surrogate posterior acts ...
That wraps up our extensive overview of Advanced Probabilistic Machine Learning Variational Inference.