Approximate Inference
 
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General • 5 methods

Approximate Inference methods are used within the context of Bayesian inference to approximate (intractable) posteriors. The most popular category were Markov Chain Monte Carlo methods; more recently variational methods have become popular. Below you can find a continuously updating list of approximate inference methods.

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Methods
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Method Year Papers
ABC
Accelerating Simulation-based Inference with Emerging AI Hardware
2020 91
Metropolis Hastings
2000 10
reSGLD
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
2020 2
CSGLD
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
2020 2
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