A Crisis In Simulation-Based Inference? Beware, Your Posterior Approximations Can Be Unfaithful.
Joeri HermansArnaud DelaunoyFrançois RozetAntoine WehenkelVolodimir BegyGilles LouppePublished in: Trans. Mach. Learn. Res. (2022)
Keyphrases
- bayesian networks
- markov chain monte carlo
- probabilistic model
- posterior probability
- expectation propagation
- probability distribution
- belief networks
- probabilistic inference
- bayesian inference
- bayesian framework
- variational methods
- inference process
- gaussian process
- bayesian model
- approximation methods
- markov chain monte carlo methods