arXiv Machine Learning August 4, 2026 By Linnea M Wolniewicz, Peter Sadowski, Claudio Corti

Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation-Based Inference

Read the original on arXiv Machine Learning →

arXiv:2407. 20432v3 Announce Type: replace Abstract: Bayesian inference methods such as Markov Chain Monte Carlo (MCMC) typically require repeated computations of the likelihood function, but in some scenarios this is infeasible and alternative methods are needed.

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