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#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
A short introduction to approximate Bayesian computation (ABC)
Variational Inference - Explained
Marginalization in Bayesian Networks: Exact and Approximate Inference (CMStatistics 2021, London)
Approximate Bayesian Inference
Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations
[MISS 2016] Max Welling - Approximate Bayesian Posterior Inference for Big Data
Adam Scibior: Denotational account of approximate Bayesian inference
#147 Fast Approximate Inference without Convergence Worries, with Martin Ingram
Approximate Bayesian computation with surrogate posteriors
Distortion estimates for approximate Bayesian inference
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Last Updated: August 19, 2026
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![[MISS 2016] Max Welling - Approximate Bayesian Posterior Inference for Big Data](https://i.ytimg.com/vi/rkGZpk9rpts/mqdefault.jpg)
