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Variational Inference by Automatic Differentiation in TensorFlow Probability
Shocklab seminar: An Introduction to Variational Inference and its Application in Deep Learning
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Variational Inference and Probabilistic Programming I by Andrés R. Masegosa & Thomas D. Nielsen
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Peadar Coyle: Variational Inference and Python
Variational Inference and Probabilistic Programming II by Andrés R. Masegosa & Thomas D. Nielsen
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MIA: David Blei, Scaling & generalizing variational inference; David Benjamin, Variational inference
Probabilistic ML - 23 - Variational Inference
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Last Updated: October 5, 2026
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Summary
David Blei, Rajesh Ranganath, Shakir Mohamed. One of the core problems of modern statistics and machine PyData DC 2016 Jupyter notebook: nbviewer.jupyter.org/gist/AustinRochford/91cabfd2e1eecf9049774ce529ba4c16 ... We find a surrogate posterior by maximizing the Evidence Lower Bound (ELBO). With a proposal distribution, this can be solved ... David Blei, Columbia University Computational Challenges in Machine Filmed at PyData London 2017 Description Recent improvements in Speaker: Sayam Kumar Title: Demystifying
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