2025
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm
NeurIPS 2025poster
We utilise a sampler originating from nonequilibrium statistical mechanics, termed here Jarzynski-adjusted Langevin algorithm (JALA), to build statistical estimation methods in latent variable models. We achieve this by leveraging Jarzynski’s equality and developing algorithms based on a weighted ve…