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This video is a short, theoretical introduction to defining the This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check ... Pritchard et al., 2000: Griffiths & Steyvers 2004: ... VI attempts to find an optimal surrogate posterior by maximizing the Evidence Lower Bound (=ELBO). The surrogate posterior acts ... This is the twentieth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig, updated for the Summer Term 2021 at the ... Date: 02/11/2021 Presenter: Yewen Wang Content: Prof. Eric Xing's Probabilistic Graphical Model lecture slides on
Toronto Deep Learning Series, 15 November 2018 Paper Review: We present PCLDA, a partially collapsed Gibbs sampler for the fully Bayesian,
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Latent Dirichlet Allocation (LDA) - 2/3 - Variational Inference
Latent Dirichlet Allocation (Part 1 of 2)
Latent Dirichlet Allocation (LDA) | Topic Modeling | Machine Learning
Topic Models: Variational Inference for Latent Dirichlet Allocation (with Xanda Schofield)
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Last Updated: May 22, 2026
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