2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs
AISTATS 2024poster
Likelihood-free inference methods based on neural conditional density estimation were shown to drastically reduce the simulation burden in comparison to classical methods such as ABC. When applied in the context of any latent variable model, such as a Hidden Markov model (HMM), these methods are des…